Multimedia and Vision Lab

Qi Tian

Professor, Ph.D., IEEE Fellow,
Office: NPB 3.306, Department of Computer Science, University of Texas at San Antonio
Phone: (210)-458-5165
Fax: (210)-458-4437
Email: qitian AT cs DOT utsa DOT edu
Mailing address: One UTSA Circle, University of Texas at San Antonio, San Antonio, TX 78249-1604

Four edited conference proceedings and book chapters, 161 refereed journal articles published or in press including leading journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI, 2014 IF:5.781), ACM Computing Survey, (5-year IF: 7.85) IEEE Transactions on Image Processing (TIP, 2014 IF: 3.625), IEEE Transactions on Multimedia (TMM, 2014 IF: 1.694), International Journal of Computer Vision (IJCV, 2014 IF: 3.81), IEEE Transactions on Circuit and Systems for Video Technology (TCSVT, 2014 IF: 2.615), Pattern Recognition (PR, 2014 IF: 3.096), Journal of Information Science (2014 IF: 1.158), Signal Processing,  an international journal  of the European Association for Signal Processing (EURASIP, 2014 IF: 2.209), Journal of Computer Vision and Image Understanding (CVIU, 2014 IF: 1.54), Neurocomputing (2014 IF: 2.083), Journal of Visual Communication and Image Representation (2014 IF: 1.218), Pattern Recognition Letters (2014 IF: 1.551), IEEE Multimedia Magazine (2014 IF: 1.767), ACM Transactions on Multimedia Computing, Communications and Applications (TOMCCAP, IF: 0.904), IEEE Transactions on Computational Biology and Bioinformatics (TCBB, 2014 IF: 1.438). Four other journal articles were published in Chinese. Among them, 133 refereed journal papers have been published since 2012.


*Author names in italic in the following paper list are my research advisees or co-advised students.

Citations by Google Scholar

 

Selected Publications

Publication List by Year

[2017][2016][2015][2014] [2013][2012] [2011] [2010] [2009] [2008] [2007] [2006] [2005] [2004] [2003] [2002] [2001 & before ]

Year 2017

Journal Papers:

  1. C. Zhang, L. Li, C. Li, and Q. Tian, “Object Categorization Using Class-Specific Representations,” accepted to IEEE Transactions on Neural Networks and Learning Systems (NNLS), September 2017.

  2. C. Zhang, J. Cheng, and Q. Tian, “Multi-view label sharing for visual representations and classifications,” accepted to IEEE Transactions on Multimedia (TMM), September 2017.

  3. C. Zhang, J. Cheng, C. Li, and Q. Tian, “Image-Specific Classification With Local and Global Discriminations,” accepted to IEEE Transactions on Neural Networks and Learning Systems (NNLS), September 2017.

  4. M. Wang, W. Zhou, Q. Tian, and H. Li, “A General Framework for Linear Distance Preserving Hashing,” accepted to IEEE Transactions on Image Processing (TIP), August, 2017.

  5. L. Li, S. Tang, Y. Zhang, L. Deng, and Q. Tian, “GLA: Global-local Attention for Image Description,” accepted to IEEE Transactions on Multimedia (TMM), August, 2017.

  6. S. Zhang, S. L. Zhang, T. Huang, W. Gao, and Q. Tian, “Learning Affective Features With a Hybrid DeepModel for Audio–Visual Emotion Recognition,” accepted to IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), DOI: 10.1109/TCSVT.2017.2719043, June 2017.

  7. L. Zhang, B. Ma, G. Li, Q. Huang, and Q. Tian, “Generalized Semi-supervised and Structured Subspace Learning for Cross-modal Retrieval,” accepted to IEEE Transactions on Multimedia (TMM), DOI: 10.1109/TMM.2017.2723841, June, 2017.

  8. C. Su, S. Zhang, J. Xing W. Gao, and Q. Tian, “Multi-Type Attributes Driven Multi-Camera Person Re-identification,” accepted to Pattern Recognition, July 2017.

  9. X. Zhang, H. Xiong, W. Zhou, and Q. Tian, “Picking Neural Activations for Fine-grained Recognition,” accepted to IEEE Transactions on Multimedia (TMM), May, 2017.

  10. L. Zheng, Y. Yang, and Q. Tian, “SIFT Meets CNN: A Decade Survey of Instance Retrieval,” accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), DOI: 10.1109/TPAMI.2017.2709749, May 2017.

  11. J. Zhang, Y. Yang, Q. Tian, L. Zhuo, and X.  Liu, “Personalized Social Image Recommendation Method Based on User-Image-Tag Model,” accepted to IEEE Transactions on Multimedia (TMM), April, 2017.

  12. X. Yang, M. Wang, R. Hong, Q. Tian, and Y. Rui, “Enhancing Person Re-Identification in a Self-boosted Subspace,” accepted to ACM Transactions on Multimedia Computing, Communications and Applications (TOMM), April 2017.

  13. C. Zhang, Q. Huang, and Q. Tian, “Bundled Local Features for Image Representation,” accepted to IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), March, 2017.

  14. X. Zhang, J. Jia, K. Gao, Y. Zhang, J. Li, J. Zhou and Qi Tian, “Trip Outfits Advisor: Location-Oriented Clothing Recommendation,” accepted to IEEE Transactions on Multimedia (TMM), February, 2017.

  15. D. Du, H. Qi, L. Wen, Qi Tian, Q. Huang, and S. Lyu, “Structural Correspondence Modes Seeking on Geometric Hyper-graph for Visual Tracking,” accepted to IEEE Transactions on Cybernetics, October 2016. 

  16. W. Zhou, H. Li, J. Sun, and Q. Tian, “Collaborative Index Embedding for Image Retrieval,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Special Issue on Learning with Shared Information for Computer Vision and Multimedia Analysis, DOI: 10.1109/TPAMI.2017.2676779, March 2017.

  17. S. Zhao, Y. Liu, Y. Han, R. Hong, Q. Hu, and Q. Tian, “Pooling the Convolutional Layers in Deep ConvNets for Video Action,"IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) , DOI: 10.1109/TCSVT.2017.2682196, March 2017.

  18. C. Su, F. Yang, S. Zhang, Q. Tian, D. Larry, and W. Gao, “Multi-Task Learning with Low Rank Attribute Embedding for Multi-Camera Person Re-identification,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), DOI: 10.1109/TPAMI.2017.2679002, March 2017.

  19. F. Zhu, X. Kong, L. Zheng, H. Fu, and Q. Tian, “Part-based Deep Hashing for Large-scale Person Re-identification,” IEEE Transactions on Image Processing (TIP), Vol. 26, No. 10, pp: 4806-4817, October 2017.

  20. G. Song, S. Wang, Q. Huang, and Q. Tian, “Multimodal Similarity Gaussian Process Latent Variable Model,” IEEE Transactions on Image Processing (TIP), Vol. 26, No. 9, pp: 4168-4181, September 2017.

  21. R. Hong, L. Li, J. Cai, D. Tao, M. Wang, and Q. Tian, “Coherent Semantic-visual Indexing for Large-scale Image Retrieval in the Cloud,” IEEE Transactions on Image Processing (TIP), Vol. 26, No.9, pp. 4128-4138, September 2017.

  22. C. Zhang, R. Li, Q. Huang, and Q. Tian, “Hierarchical deep semantic representation for visual categorization,” Neurocomputing, Vol. 257, pp. 88-96, September, 2017.

  23. C. Zhang, Q. Huang, and Q. Tian, “Contextual Exemplar Classifier-Based Image Representation for Classification,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Vol. 27, Issue 8, pp. 1691-1699, Aug. 2017.

  24. B. Wu, J. Jia, Y. Yang, P. Zhao, J. Tang, and Q. Tian, “Inferring Emotional Tags From Social Images with User Demographics,” IEEE Transactions on Multimedia (TMM), Vol. 19, No. 7, pp: 1670-1684, July, 2017.

  25. C. Zhang, C. Liang, L. Li, J. Liu, Q. Huang, and Q. Tian, “Fine-Grained Image Classification via Low-Rank Sparse Coding With General and Class-Specific Codebooks,” IEEE Transactions on Neural Network Learning System (TNNLS), Vol. 28, No. 7, pp:1550-1559, July. 2017.

  26. Z. Liu, S. Wang, L. Zheng, and Q. Tian, “Robust ImageGraph: Rank-Level Feature Fusion for Image Search,” IEEE Transactions on Image Processing (TIP), Vol. 26, Issue 7, pp: 3128-3141, July 2017.

  27. S. Bai, X. Bai, Z. Zhou, Z. Zhang, Q. Tian, and L. Latecki, “GIFT: Towards Scalable 3D Shape Retrieval,” IEEE Transactions on Multimedia (TMM), Vol. 19, No. 6, pp: 1257-1271, June 2017.

  28. L. Xie, J. Wang, W. Lin, B. Zhang, and Q. Tian, “Towards Reversal-Invariant Image Representation,” International Journal of Computer Vision (IJCV), Vol. 123(2), pp: 226-250, June, 2017.

  29. C. Su, S. Zhang, F. Yang, G. Zhang, Q. Tian, W. Gao, and L. Davis, “Attributes Driven Tracklet-to-Tracklet Person Re-Identification Using Latent Prototypes Space Mapping,” Pattern Recognition, Vol. 66, pp.4-15, June 2017.

  30. B. Yan, W. Tan, K, Li, and Q. Tian, “Codebook Guided Feature-Preserving for Recognition-Oriented Image Retargeting,” IEEE Transactions on Image Processing (TIP), Vol. 26, No. 5, pp: 2454-2465, May 2017.

  31. D. Zeng, T. Zhang, R. Fang, W. Shen, and Q. Tian, “Neighborhood Geometry Based Feature Matching for Geostationary Satellite Remote Sensing Image,” Neurocomputing, Vol. 236, pp.65-72, May, 2017.

  32. T. Yao, X. Kong, F. Hai, and Q. Tian, “Supervised Coarse-to-Fine Semantic Hashing for Cross-Media Retrieval,” Digital Signal Processing, Vol. 63, pp.135-144, April 2017,

  33. Z. Jin, J. Cao, Y. Zhang, J. Zhou, and Q. Tian, “Novel Visual and Statistical Image Features for Microblogs News Verification,” IEEE Transactions on Multimedia (TMM), Vol. 19, No.3, pp: 598-608, March 2017.

  34. J. Tang, S. Chang, G. Qi, Q. Tian, Y. Rui, and T. S. Huang, “LEGO-MM: LEarning Structured Model by Probabilistic loGic Ontology Tree for MultiMedia,” IEEE Transactions on Image Processing (TIP), Vol. 26, No. 1, pp. 196-207, January 2017.

  35. Y. Zhu, J. Jiang, W. Han, Y. Ding, and Q. Tian, “Interpretation of Users’ Feedback via Swarmed Particles for Content-Based Image Retrieval,” Information Sciences, Vol. 375, pp. 246-257, January 2017.

  36. C. Zhang, G. Zhu, Q. Huang, and Q. Tian, “Image Classification by Search with Explicitly and Implicitly Semantic Representations,” Information Sciences, Vol. 376, pp. 125-135, January 2017.

Conference papers

  1. C. Su, J. Li, S. Zhang, J. Xing, W. Gao and Q. Tian, “Pose-driven Deep Convolutional Model for Person Re-identification,” International Conference on Computer Vision (ICCV), Venice, Italy, October 22-29, 2017.

  2. S. Bai, Z. Zhou, J, Wang, X. Bai, L. Latecki, and Q. Tian, “Ensemble Diffusion for Retrieval,” Oral, International Conference on Computer Vision (ICCV), Venice, Italy, October 22-29, 2017.

  3. G. Song, S. Wang, Q. Huang, and Q. Tian, “Multimodal Gaussian Process Latent Variable Models,” International Conference on Computer Vision (ICCV), Venice, Italy, October 22-29, 2017.

  4. Y. Wang, L. Xie, C. Liu, S. Qiao, Y. Zhang, W. Zhang, Q. Tian, and A. Yuille, “SORT: Second-Order Response Transform for Visual Recognition,” International Conference on Computer Vision (ICCV), Venice, Italy, October 22-29, 2017.

  5. H. Yao, S. Zhang, Y. Zhang, J. Li, and Q. Tian, “One-Shot Fine-Grained Instance Retrieval,” ACM Multimedia, long paper (poster), acceptance ratio 28% (141 posters and 50 orals out of 675 submissions), Mountain View, CA, October 23-27, 2017.

  6. M. Wang, W. Zhou, Q. Tian and H. Li, “Deep Supervised Quantization by Self-Organized Map,” ACM Multimedia, long paper (poster), acceptance ratio 28% (141 posters and 50 orals out of 675 submissions), Mountain View, CA, October 23-27, 2017.

  7. L. Zhang, B. Ma, G. Li, Q. Huang and Q. Tian, “Multi-Networks Joint Learning for Large-Scale Cross-Modal Retrieval,” ACM Multimedia, long paper (poster), acceptance ratio 28% (141 posters and 50 orals out of 675 submissions), Mountain View, CA, October 23-27, 2017.

  8. L. Nie, X. Wang, J. Zhang, X. He, H. Zhang, R. Hong and Q. Tian, “Enhancing Micro-video Understanding by Harnessing External Sounds,” ACM Multimedia, long paper(oral), acceptance ratio 7.5% (50 orals out of 675 submissions), Mountain View, CA, October 23-27, 2017.

  9. L. Wei, S. Zhang, H. Yao, W. Gao and Qi Tian, “GLAD: Global-Local-Alignment Descriptor for Pedestrian Retrieval,” ACM Multimedia, long paper, acceptance ratio 28% (141 out of 675 submissions), Mountain View, CA, October 23-27, 2017

  10. X. Liu, S. Zhang, T. Huang and Q. Tian, “E2BoWs: An End-to-End Bag-of-Words Model via Deep Convolutional Neural Network,” ChinaMM, Septermber 15-17, 2017, Nanjing, P.R. China.

  11. Y. Li, L. Zhuo, J. Li, J. Zhang, X. Liang, and Q. Tian, “Video-based Person Re-identification by Deep Feature Guided Pooling,” IEEE CVPR workshop on Target Re-Identification and Multi-Target Multi-Camera Tracking (REID-MTMCT) , Honolulu, HI, July 21, 2017.

  12. L. Zhang, B. Ma, G. Li, Q. Huang, and Q. Tian, “Adaptively Unified Semi-Supervised Learning for Cross-Modal Retrieval,” the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), August 19-25, 2017, Melbourne, Australia.

  13. H. Yao, S. Zhang, D. Zhang, Y. Zhang, J. Li, Y. Wang, and Q. Tian, “Large-scale Person Re-Identification as Retrieval,” IEEE International Conference on Multimedia and Expo (ICME), July 10-14, 2017, Hong Kong.

  14. L. Zheng, H. Zhang, S. Sun, M. Chandraker, and Q. Tian, “Person Re-Identification in the Wild,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), spotlight paper, Honolulu, Hawaii, July 21-26, 2017.

  15. S. Bai, X. Bai, and Q. Tian, “Scalable Person Re-identification on Supervised Smoothed Manifold,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), spotlight paper, Honolulu, Hawaii, July 21-26, 2017.

  16. X. Zhang, K. Gao, Y. Zhang, D. Zhang, and Q. Tian, “Task-Driven Dynamic Fusion: Reducing Ambiguity in Video Description,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, Hawaii, July 21-26, 2017.

  17. S. Bai , X. Bai, L. Latecki, and Q. Tian, “Multidimensional Scaling on Multiple Input Distance Matrices,” The 31st AAAI conference on Artificial Intelligence (AAAI), February 4-9, 2017, San Francisco, CA, USA.

  18. S. Bai, X. Bai, Q. Tian and L. Latecki, “Regularized Diffusion Process for Visual Retrieval,” The 31st AAAI conference on Artificial Intelligence (AAAI), February 4-9, 2017, San Francisco, CA, USA.

  19. L. Li, S. Tang, L. Deng, Y. Zhang, and Q. Tian, “Image Caption with Global-Local Attention,” The 31st AAAI conference on Artificial Intelligence (AAAI), February 4-9, 2017, San Francisco, CA, USA.

  20. X. Chen, J. Wu, S. Sun and Q. Tian, “Multi-Index Fusion via Similarity Matrix Pooling for Image Retrieval,” 2017 IEEE International Conference on Communications (ICC), May 21-25, 2017, Paris, France.

Year 2016

Journal Papers:

  1. Y. Li, S. Wang, Q. Tian, and X. Ding, “A Boosting Approach to Exploit Instance Correlations for Multi-Instance Classification,” IEEE Transactions on Neural Networks and Learning Systems(TNNLS), Vol. 27, No. 12, December 2016.

  2. Z. Gao, J. Xue, W. Zhou, S. Pang and Q. Tian, “Democratic Diffusion Aggregation for Image Retrieval,” IEEE Transactions on Multimedia (TMM), Vol. 18, No. 8, pp: 1661-1674, August 2016.

  3. L. Zheng, S. Wang, J. Wang, and Q. Tian, “Accurate Image Search with Multi-Scale Contextual Evidences,” International Journal of Computer Vision (IJCV), Vol. 120, No. 1, pp. 1-13, October 2016.

  4. L. Xie, Q. Tian, and B. Zhang, “Simple Techniques Make Sense: Feature Pooling and Normalization for Image Classification,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Vol. 26, No. 7, pp 1251-1264, July 2016.

  5. X. Cao C. Zhang, H. Fu, X. Guo, and Q. Tian, “Saliency-Aware Nonparametric Foreground Annotation Based on Weakly Labeled Data,” IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Vol. 27, No. 6, pp: 1253-1265, June 2016.

  6. S. Sun, W. Zhou, Q. Tian, and H. Li, “Scalable Object Retrieval with Compact Image Representation from Generic Object Regions,” ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), Vol. 12, No. 2, article 29:1-21, March 2016.

  7. L. Xie, J. Wang, B. Zhang, and Q. Tian, “Incorporating visual adjectives for image classification,” Neurocomputing, 182:48-55, 2016.

  8. D. Zeng, X. Bao, K. Liu, F. Zhao, and Q. Tian, “Face database generation based on text-video correlation,” Neurocomputing, 207: 240-249, 2016.

  9. T. Yao, X. Kong, H. Fu, and Q. Tian, “Semantic consistency hashing for cross-modal retrieval,” Neurocomputing, 193:250-259, 2016.

  10. Y. Zhu, X. Huang, Q. Huang, and Q. Tian, “Large-scale Video Copy Retrieval with Temporal-concentration SIFT,” Neurocomputing, 187:83-91, 2016.

  11. C. Zhang, Y. Zhang, X. Zhu, Z. Xue, L. Qin, Q. Huang, and Q. Tian, “Socio-Mobile Landmark Recognition Using Local Features with Adaptive Region Selection,” Neurocomputing, 172: 100-113, 2016.

  12. Z. Liu, S. Wang, and Q. Tian, “Fine-Residual VLAD for Image Search,” Neurocomputing, 173: 1183-1191, January 2016.

  13. X. Zhang, H. Xiong, W. Zhou, and Q. Tian, “Fused One-vs-All Features with Semantic Alignments for Fine-Grained Visual Categorization?” IEEE Transactions on Image Processing (TIP), Vol: 25, No. 2, pp. 878-892, February, 2016.

  14. Z. Liu, H. Li, W. Zhou, T. Rui, and Q. Tian, “Making Residual Vector Distribution Uniform for Distinctive Image Representation,” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Vol. 26, No.2, pp: 375-384, 2016.

  15. W. Tan, B. Yan, K. Li, and Q. Tian, “Image Retargeting for Preserving Robust Local Feature: Application to Mobile Visual Search,” IEEE Transactions on Multimedia (TMM), Vol. 18, No.1, pp. 128-137, January 2016.

  16. W. Zhou, M. Yang, X. Wang, H. Li, Y. Lin, and Q. Tian, “Scalable Feature Matching by Dual Cascaded Scalar Quantization for Image Retrieval,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 38, No. 1, pp. 159-171, January 2016.

Conference Papers:

  1. X. Wang. W. Zhou, Q. Tian, and H. Li, “Adaptively Weighted Graph Fusion for Image Retrieval,” The 8th International Conference on Internet Multimedia Computing and Service (ICIMCS), pp. 18-21, Xi’an, China, August 19-21, 2016.

  2. Y. Yang. J. Zhang, L. Zhuo, Q. Tian, and J. Liu, “Creating Descriptive Visual Word Tree for Tag Ranking of Social Image,” The 8th International Conference on Internet Multimedia Computing and Service (ICIMCS), pp. 172-176, Xi’an, China, August 19-21, 2016.

  3. J. Tang, D. Zhang, Y. Zhang, and Q. Tian, “Region similarity arrangement for image retrieval,” IEEE International Conference on Multimedia and Expo (ICME), July 11-15, 2016, Seattle, WA, USA.

  4. M. Wang, W. Zhou, Q. Tian, Z. Zha, and H. Li, “Linear Distance Preserving Pseudo-Supervised and Unsupervised Hashing,” ACM Multimedia (MM), Full Paper, October 15-19, 2016, Amsterdam, the Netherlands.

  5. L. Zhang, B. Ma, G. Li, Q. Huang, and Q. Tian, “PL-ranking: A Novel Ranking Method for Cross-Modal Retrieval,” ACM Multimedia (MM), Full Paper, October 15-19, 2016, Amsterdam, the Netherlands.

  6. Y. Li, X. Kong, L. Zheng, and Q. Tian, “Exploiting Hierarchical Activations of Neural Network for Image Retrieval,” ACM Multimedia (MM), Short Paper, October 15-19, 2016, Amsterdam, the Netherlands.

  7. J. Liu, Z. Zha, Q. Tian, T. Yao, Q. Ling, and T. Mei, “Multi-Scale Triplet Deep CNN for Person Re-Identification,” ACM Multimedia (MM), Short Paper, October 15-19, 2016, Amsterdam, the Netherlands.

  8. L. Xie, Q. Tian, J. Flynn, J. Wang, and A. Yuille, “Geometric Neural Phrase Pooling: Modeling the Spatial Co-occurrence of Neurons,” European Conference on Computer Vision (ECCV), October 8-16, 2016, Amsterdam, the Netherlands.

  9. C. Su, S. Zhang, J. Xing, W. Gao, and Q. Tian, “Deep Attributes Driven Person Re-identification,” European Conference on Computer Vision (ECCV), October 8-16, 2016, Amsterdam, the Netherlands.

  10. S. Bai, S. Sun, X. Bai, Z. Zhang, and Q. Tian, “Smooth Neighborhood Structure Mining on Multiple Affinity Graphs with Applications to Context-sensitive Similarity,” European Conference on Computer Vision (ECCV), October 8-16, 2016, Amsterdam, the Netherlands.

  11. L. Zheng, Z. Bie, Y. Sun, J. Wang, C. Su, S. Wang, and Q. Tian, “MARS: A Video Benchmark for Large-Scale Person Re-identification,” European Conference on Computer Vision (ECCV), October 8-16, 2016, Amsterdam, the Netherlands.

  12. J. Cai, J. Yu, F. Imai, and Q. Tian, “Towards Temporal Adaptive Representation for Video Action Recognition,” IEEE International Conference on Image Processing (ICIP), September 25-28, 2016, Phoenix, AZ, USA.

  13. L. Li, S. Tang, B. Wang, Y. Zhang, and Q. Tian, “Category Aggregation Among Region Proposals For Object Detection,” the 2016 Pacific-rim Conference on Multimedia (PCM), oral, September 15-16, 2016, Xi’an, China.                    

  14. M. Wang, W. Zhou, Q. Tian, and H. Li,Sparse Matrix based Hashing for Approximate Nearest Neighbor Search,” the 2016 Pacific-rim Conference on Multimedia (PCM), oral, September 15-16, 2016, Xi’an, China.          

  15. L. Xie, J. Wang, Z. Wei, M. Wang, and Q. Tian, “DisturbLabel: Regularizing CNN on the Loss Layer,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 26-July 1, 2016, Las Vegas, NV, USA.

  16. L. Xie, J. Wang, A. Yuille, and Q. Tian, “InterActive: Inter-Layer Activeness Propagation,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 26-July 1, 2016, Las Vegas, NV, USA.

  17. Y. Zhou, B. Ni, R. Hong, X. Yang, and Q. Tian, “Cascaded Interactional Targeting Network for Egocentric Video Analysis,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 26-July 1, 2016, Las Vegas, NV, USA.

  18. X. Zhang, H. Xiong, W. Zhou, W. Lin, and Q. Tian, “Picking Deep Filter Responses for Fine-grained Image Recognition,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 26-July 1, 2016, Las Vegas, NV, USA.

  19. Q. Zhou, J. Zhang, Q. Tian, L. Zhuo, W. Geng, “Automatic Endmember Extraction Using Pixel Purity Index for Hyperspectral Imagery,” International Conference on Multimedia Modeling (MMM), January 4-6, 2016, Miami, FL, USA.

 

Back to top

Year 2015

Journal Papers:

  1. S. Zhang, M. Yang, X. Wang, Y. Lin, and Q. Tian, “Semantic-aware Co-indexing for Image Retrieval,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 37, No. 12, pp. 2573-2587, December 2015.

  2. C. Zhang, J. Cheng, J. Liu, J. Pang, Q. Huang, and Q. Tian, “Beyond Explicit Codebook Generation: Visual Representation Using Implicitly Transferred Codebooks,” IEEE Transactions on Image Processing (TIP), Volume 24, No. 12, pp. 5777-5788, December 2015.

  3. S. Zhang, X. Wang, Y. Lin, and Q. Tian, “Cross Indexing with Grouplets,” IEEE Transactions on Multimedia (TMM), Vo. 17, No. 11, pp. 1969-1979, November 2015.

  4. Y. Gu, X. Qian, Q. Li, M. Wang, R. Hong, and Q. Tian, “Image Annotation by Latent Community Detection and Multikernel Learning,” IEEE Transactions on Image Processing (TIP), Volume 24, No. 11, pp. 3450-3463, November 2015.

  5. L. Xie, Q. Tian, W. Zhou, and B. Zhang, “Heterogeneous Graph Propagation for Large-Scale Web Image Search,” IEEE Transactions on Image Processing (TIP), Vo. 24, No. 11, pp. 4287-4298, November 2015.

  6. X. Yang, X. Gao, and Q. Tian, “Polar Embedding for Aurora Image Retrieval,” IEEE Transactions on Image Processing (TIP), Vo. 24, No. 11, pp. 3332-3344, November 2015.

  7. R. Hong, Z. Hu, Q. Liu, M. Wang, S. Yan, and Q. Tian, “Understanding Blooming Human Groups in Social Networks,” IEEE Transactions on Multimedia (TMM), Vol. 17, No. 11, pp. 1980-1988, November 2015.

  8. J. Ji, J. Li, Q. Tian, S. Yan, and B. Zhang, “Angular-Similarity-Preserving Binary Signatures For Linear Subspaces,” IEEE Transactions on Image Processing (TIP), Vol. 24, No. 11, pp. 4372-4380, November 2015.

  9. Y. Li, S. Wang, Q. Tian, and X. Ding, “A Survey of Recent Advances in Visual Feature Detection,” Neurocomputing, Volume 149 Part B, pp.736-751, 2015.

  10. Y. Li, S. Wang, Q. Tian, and X. Ding, “Feature Representation for Statistical-Learning-based Object Detection: A Review,” Pattern Recognition, 48(11): 3542-3559, 2015.

  11. S. Sun, W. Zhou, Q. Tian, and H. Li, “Scalable Object Retrieval with Compact Image Representation from Generic Object Regions,” ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), Vol. 12, No. 2, article 29:1-21, March 2016.

  12. X. Tian, L. Yang, Y. Lu, Q. Tian, and D. Tao, “Image Search Reranking with Hierarchical Topic Awareness,” IEEE Transactions on Cybernetics, Vol.45, No. 10, pp. 2177-2189, October 2015.

  13. L. Zhang, M. Wang, L. Nie, L. Hong, Y. Rui, and Q. Tian, “Retargeting Semantically-Rich Photos,” IEEE Transactions on Multimedia (TMM), Vol. 17, No. 9, pp. 1538-1549, September 2015.

  14. L. Zhang, Y. Zhang, R. Hong, and Q. Tian, “Full-Space Local Topology Extraction for Cross-Modal Retrieval,” IEEE Transactions on Image Processing (TIP), Volume 24(7), pp. 2212-2224, July 2015.

  15. R. Ji, Y. Gao, W. Liu, X. Xie, Q. Tian, and X. Li, “When Location Meets Social Multimedia: A Survey on Vision-Based Recognition and Mining for Geo-Social Multimedia Analytics,” ACM TIST, Volume 6(1): 1:1-1:18, 2015.

  16. W. Zhou, H. Li, R. Hong, Y. Lu, and Q. Tian, “BSIFT: Toward Data-Independent Codebook for Large Scale Image Search,” IEEE Transactions on Image Processing (TIP), Volume 24(3): 967-979, March 2015.

  17. W. Zhou, H. Li, Y. Lu, M. Wang, and Q. Tian, “Visual Word Expansion and BSIFT Verification for Large-Scale Image Search,” Multimedia Systems Journal (MMSJ), Volume 21(3): pp. 245-254, 2015.

  18. C. Zhang, J. Cheng, Y. Zhang, J. Liu, C. Liang, J. Pang, Q. Huang, and Q. Tian, “Image Classification Using Boosted Local Features with Random Orientation and Location Selection,” Information Science, Volume 310, pp.118-129, 2015.

  19. C. Zhang, X. Zhu, L. Li, Y. Zhang, J. Liu, Q. Huang, and Q. Tian, “Joint Image Representation and Classification in Random Semantic Spaces,”  Neurocomputing, Volume 156, pp. 79-85, 2015.

  20. S. Zhou, D. Zeng, W. Shen, Z. Zhang, and Q. Tian, “Fast Large-scale Object Retrieval with Binary Quantization,” Journal of Electronic Imaging, Vol 24(6):063018, Nov/Dec 2015.

  21. S. Pang, J. Xue, Z. Gao, and Q. Tian, “Image Re-Ranking with An Alternating Optimization,” Neurocomputing, Volume 165, pp. 423-432, 2015.

  22. S. Wang, F. Zhuang, S. Jiang, Q. Huang, and Q. Tian, “Cluster-sensitive Structured Correlation Analysis for Web cross-modal retrieval,” Neurocomputing, Volume 168, pp.747-760, 2015.

  23. L. Zheng, S. Wang, Z. Liu, and Q. Tian, “Fast Image Retrieval: Query Pruning and Early Termination by Impact Score and Quantized Index,” IEEE Transactions on Multimedia (TMM), Vol. 17(5), pp. 648-659, 2015.

  24. L. Xie, J. Wang, B. Zhang, and Q. Tian, “Fine-Grained Image Search,” IEEE Transactions on Image Processing (TIP), Vol. 17(5), pp. 636-647, May 2015.

  25. Z. Niu, G. Hua, Q. Tian, and X. Gao, “Visual Topic Network: Building Better Image Representation for Images in Social Media,” Journal of Computer Vision and Image Understanding (CVIU), 136: 3-13, 2015.

  26. Z. Liu, H. Li, R. Hong, W. Zhou and Q. Tian, “Uniting Keypoints: Local Visual Information Fusion for Large Scale Image Search,” IEEE Transactions on Multimedia (TMM), Vol. 17(4), pp. 538-548, April 2015.

  27. J. Cai, Z. Zha, M. Wang, S. Zhang, and Q. Tian, “An Attribute-assisted Reranking Model for Web Image Search,” IEEE Transactions on Image Processing (TIP), Vol. 24, Issue 1, pp.261-272. January 2015.

  28. L. Zheng, S. Wang, P. Guo, H. Liang, and Q. Tian, “Tensor Index for Large Scale Image Retrieval, ” Multimedia Systems Journal (MMSJ), 21(6):569-579-254, 2015.

  29. D. Zhuang, D. Zhang, J. Li, and Q. Tian, “Binary Feature from Intensity Quantization and Weakly Spatial Contextual Coding for Image Search,” Journal of Information Science, Vol. 302, pp. 94-107, 2015.

  30. S. Zhang, Q. Tian, Q. Huang, W. Gao, and Y. Rui, “Multi-order Visual Phrase for Scalable Partial-Duplicate Visual Search, ” Multimedia Systems Journal, 21(2), pp. 229-241, 2015.

Conference Papers:

  1. G. Song, S. Wang, Q. Huang, and Q. Tian, “Similarity Gaussian Process Latent Variable Model for Multi-Modal Data Analysis,” International Conference on Computer Vision (ICCV), Santiago, Chile, December 11-18, 2015.

  2. L. Zheng, S. Wang, J. Wang, L. Shen, J. Bu, and Q. Tian, “Scalable Person Re-identification: A Benchmark,” International Conference on Computer Vision (ICCV), Santiago, Chile, December 11-18, 2015.

  3. C. Su, F. Yang, S. Zhang, Q. Tian, L. Davis, W. Gao, “Multi-Task Learning with Low Rank Attribute Embedding for Person Re-identification,” International Conference on Computer Vision (ICCV), Santiago, Chile, December 11-18, 2015.

  4. L. Xie, J. Wang, W. Lin, B. Zhang, and Q. Tian, “RIDE: Reversal Invariant Descriptor Enhancement,” International Conference on Computer Vision (ICCV), Santiago, Chile, December 11-18, 2015.

  5. X. Xie, W. Zhou, H. Li, and Q. Tian, “Rank-aware Graph Fusion with Contextual Dissimilarity Measurement for Image Retrieval,” IEEE International Conference on Image Processing (ICIP), Quebec City, Canada, Sep. 27-30, 2015.

  6. L. Li, Y. Guo, L. Xie, X. Kong, and Q. Tian, “Fine-Grained Visual Categorization with Fine-Tuned Segmentation,” IEEE International Conference on Image Processing (ICIP), Quebec City, Canada, Sep. 27-30, 2015.

  7. H. Yao, S. Zhang, F. Xie, Y. Zhang, D. Zhang, and Q. Tian, “Orientational Spatial Part Modeling for Fine-Grained Visual Categorization,” IEEE 4th International Conference on Mobile Services(MS), June 27-July 2, 2015, MS 2015 Special Track - Mobile Augmented Reality, New York, USA.

  8. C. Su, F. Yang, G. Zhang, Q. Tian, W. Gao, and L. Davis, “Tracklet-to-tracklet Person Re-identification by Attributes with Discriminative Latent Space Mapping,” IEEE 4th International Conference on Mobile Services(MS), June 27-July 2, 2015, MS 2015 Special Track - Mobile Augmented Reality, New York, USA.

  9. L. Zheng , S.Wang, L. Tian, F. He, and Q. Tian, “Query-Adaptive Late Fusion for Image Search and Person Re-identification,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Boston, MA, June 8-10, 2015

  10. Y. Zhou, B. Ni, R. Hong, M. Wang, and Q. Tian, “Interaction Part Mining: A Mid-Level Approach for Fine-Grained Action Recognition,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Boston, MA, June 8-10, 2015.

  11. L. Xie, R. Hong, B. Zhang, and Q.Tian, “Image Classification and Retrieval are ONE,” ACM International Conference on Multimedia Retrieval (ICMR), long paper, June 23-26, 2015, Shanghai, P. R. China.

  12. Z. Gao, J. Xue, W. Zhou, S. Pang, and Q.Tian, “Fast Democratic Aggregation and Query Fusion for Image Search,” ACM International Conference on Multimedia Retrieval (ICMR), long paper, June 23-26, 2015, Shanghai, P. R. China.

  13. Z. Mao, Y. Zhang, and Q. Tian, “Hierarchical Encoding of Binary Descriptors for Image Matching,” ACM International Conference on Multimedia Retrieval (ICMR), long paper, June 23-26, 2015, Shanghai, P. R. China.

  14. J. Cai, M. Merler, S. Pankani, and Q. Tian, “Heterogeneous Semantic Level Features Fusion for Action Recognition,” ACM International Conference on Multimedia Retrieval (ICMR), long paper, June 23-26, 2015, Shanghai, P. R. China.

  15. Y. Zhou, D. Zeng, S. Zhang, and Q. Tian, “Augmented Feature Fusion for Image Retrieval System,” ACM International Conference on Multimedia Retrieval (ICMR), short paper, June 23-26, 2015, Shanghai, P. R. China.

  16. J. Cai, R. Hong, M. Wang, and Qi Tian, “Exploring Feature Space with Semantic Attributes,” oral, IEEE International Conference on Multimedia and Expo (ICME), June 29-July 3, 2015, Torino, Italy.

  17. L. Xie, Q. Tian, and B. Zhang, “Image Classification with Max-SIFT Descriptor,” the 40th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, Australia, April 19-24, 2015.

  18. L. Xie, Q. Tian, and B. Zhang, “Generalized Regular Spatial Pooling for Image Classification,” the 40th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, Australia, April 19-24, 2015.

  19. L. Zheng, S. Wang, and Q. Tian, “Coloring Image Search with Coupled Multi-Index,” 3rd IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP), July 12-15, 2015, Chengdu, China.

  20. Y. Cao, J. Zhang, Q. Tian, L. Zhuo, Q. Zhou, “Salient Target Detection in Hyperspectral Images using Spectral Saliency,” 3rd IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP), July 12-15, 2015, Chengdu, China.

  21. G. Song, S. Wang, Q. Huang, and Q. Tian, “Fusing Features and Similarity for Multimodal Search,” 3rd IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP), July 12-15, 2015, Chengdu, China.

Back to top

 

Year 2014

Journal Papers:

  1. Q. Luo, S. Zhang, T. Huang, W. Gao and Q. Tian, “Indexing Heterogeneous Features with Superimages,” to appear in International Journal of Multimedia Information Retrieval (IJMIR), September 2014.

  2. W. Zhou, H. Li, Y. Lu, and Q. Tian, “Encoding Spatial Context for Large-Scale Partial-Duplicate Web Image Retrieval,” Journal of Computer Science and Technology, Volume 29, Issue 5, pp. 837-848, September 2014.

  3. S. Pang, J. Xue, Q. Tian, and N. Zheng, “Exploiting Local Linear Geometric Structure for Identifying Correct Matches,” Computer Vision and Image Understanding, Vol. 128, pp. 51-64, November 2014.

  4. J. Wang, B. Wang, L. Duan, Q. Tian, and H. Lu, “Interactive Ads Recommendation with contextual Search on Product Topic Space,” Multimedia Tools and Applications (MTA), Vol. 70, pp. 799-820, 2014.

  5. J. Ji, S. Yan, G. Guo, J. Li, Q. Tian, B. Zhang, “Batch-Orthogonal Locality-Sensitive Hashing for Angular Similarity,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI),Vol. 36, No. 10, pp. 1963-1974, October 2014.

  6. Y. Zhang, Z. Mao, J. Li, and Q. Tian, “Salient Region Detection for Complex Background Images Using Integrated Features,” Information Science, Vol. 281, pp. 586-600, October 2014.

  7. C. Zhang, J. Cheng, J. Liu, J. Pang, C. Liang, Q. Huang, and Qi Tian, “Object Categorization in Sub-semantic Space,” Neurocomputing, Vol. 142, pp. 248-255, October, 2014.

  8. S. Chen, S. Li, S. Su, Q. Tian, and R. Ji, “Online MIL tracking with instance-level semi-supervised learning,” Neurocomputing, Vol. 139, pp. 272-288, September, 2014.

  9. L. Zheng, S. Wang, and Q. Tian, “Coupled Binary Embedding for Large-scale Image Retrieval,” IEEE Transactions on Image Processing (TIP), Vol. 23, No. 8, pp. 3368-3380, August, 2014.

  10. L. Zheng, S. Wang, and Q. Tian, “Lp-norm IDF for Scalable Image Retrieval,” IEEE Transactions on Image Processing (TIP), Vol. 23, No. 8, pp. 3368-3380, August, 2014.

  11. S. Zhang, Q. Tian, Q. Huang, W. Gao, and Y. Rui, “USB: Ultra Short Binary Descriptor for Fast Visual Matching and Retrieval,” IEEE Transactions on Image Processing (TIP), Vol. 23, No. 8, pp. 3671-3683, August, 2014.

  12. L. Xie, Q. Tian, W. Zhou, and B. Zhang, “Fast and Accurate Near-Duplicate Image Search with Affinity Propagation on the ImageWeb,” Computer Vision and Image Understanding (CVIU), Special Issue on Large Scale Multimedia Semantic Indexing, Vol. 124, pp. 31-41, July 2014.

  13. L. Zhang, Y. Zhang, and Q. Tian, “Scalable Similarity Search with Topology Preserving Hashing,” IEEE Transactions on Image Processing (TIP), Vol. 23, No. 7, pp. 3025-3039, April, 2014.

  14. Z. Cheng. L. Qin, Q. Huang, S. Yan, and Q.Tian, “Recognizing Human Group Action by Layered Model with Multiple Cues,” Neurocomputing, Vol. 136, pp. 124-135, July 2014.

  15. S. ZhangQ. Tian, Q. Huang, W. Gao, and Y. Rui, “Cascade Category-Aware Visual Search,” IEEE Transactions on Image Processing (TIP), Vol. 23, No. 6, pp. 2514-2527, June 2014.

  16. Y. Zhang, L. Zhang, and Q. Tian, “A Prior-Free Weighting Scheme for Binary Code Ranking,” IEEE Transactions on Multimedia (TMM), Vol. 16, No. 4, pp. 1127-1139, June, 2014.

  17. L. Xie, Q. Tian, M. Wang, and B. Zhang, “Spatial Pooling of Heterogeneous Features for Image Classification,” IEEE Transactions on Image Processing (TIP), Vol. 23, No. 5, pp: 1994-2008, May 2014.

  18. Z. Liu, H. Li, L. Zhang, W. Zhou, and Q. Tian, “Cross-indexing of Binary SIFT Codes for Large-Scale Image Search,” IEEE Transactions on Image Processing (TIP), Vol. 23, No. 5, pp: 2047-2057, May 2014.

  19. Z. Liu, H. Li, W. Zhou, R. Zhao and Q. Tian, “Contextual Hashing for Large-scale Image Search,” IEEE Transactions on Image Processing (TIP), Vol. 23, No. 4, pp: 1606-1614, April 2014.

  20. W. Zhou, M. Yang, X. Wang, H. Li, Y. Lin, and Q. Tian, “Towards Codebook-free: Scalable Cascaded Hashing for Mobile Image Search,” IEEE Transactions on Multimedia(TMM), Special Issue on Socio-Mobile Media Analysis and Retrieval, Vol. 16, No. 3, pp: 601-611, April 2014.

  21. Y. Li, S. Wang, Q. Tian, and X. Ding, “Learning Cascaded Shared-Boost Classifiers for Part-based Object Detection,” IEEE Transactions on Image Processing (TIP), Vol. 23, No. 4, pp: 1858-1871, April 2014.

  22. S. Zhang, Q. Tian, Q. Huang, and Y. Rui, “Embedding Multi-order Spatial Clues for Scalable Visual Matching and Retrieval,” IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), Special Issue on Content-aware Visual Systems: Analysis, Streaming and Retargeting, Vol. 4, No. 1, pp: 130-141, March 2014.

  23. L. Zhang, Y. Gao, R. Zimmermann, Q. Tian, and X. Li, “Fusion of Multichannel Local and Global Structural Cues for Photo Aesthetics Evaluation,” IEEE Transactions on Image Processing (TIP), Vol. 23, No. 3, pp. 1419-1429, March 2014.

  24. S. Liu, P. Cui, H. Luan, W. Zhu, S. Yang, and Q. Tian, “Social-oriented Visual Image Search,” Computer Vision and Image Understanding (CVIU), Vol. 118, pp.30-39, January 2014.

  25. T. Mei, Y. Rui, S. Li, and Q. Tian, “Multimedia Search Reranking: A Literature Survey,” ACM Computing Survey, Vol. 46, Issue 3, January, Article No. 38, 2014.

  26. S. Zhang, Q. Tian, G. Hua, Q. Huang and W. Gao, “ObjectPatchNet: Towards Scalable and Semantic Image Annotation and Retrieval,” Computer Vision and Image Understanding (CVIU), Special Issue on Learning from Multiple Evidence for Large Scale Multimedia Analysis, Vol. 118, pp. 16-29, January 2014.

Conference Papers:

  1. Q. Luo, S. Zhang, T. Huang, W. Gao, and Q. Tian, “Hybrid-Indexing Multi-type Features for Large-scale Image Search,” Asian Conference on Computer Vision (ACCV), Singapore, Nov. 1-5, 2014.

  2. S. Liu, P. Cui, W. Zhu, S. Yang, and Q. Tian, “Social Embedding Image Distance Learning,” ACM Multimedia, acceptance rate <20%, Full paper, Orlando, FL, November 3-7, 2014.

  3. X. Zhang, H. Xiong, W. Zhou, and Q. Tian, “Fused One-vs-All Mid-Level Features for Fine-Grained Visual Categorization,” ACM Multimedia, acceptance rate <20%, Full paper, Orlando, FL, November 3-7, 2014.

  4. L. Zhang, Y. Gao, C. Zhang, H. Zhang, Q. Tian, and R. Zimmermann, “Perception-Guided Multimodal Feature Fusion for Photo Aesthetics Assessment,” ACM Multimedia, acceptance rate <20%, Full paper, Orlando, FL, November 3-7, 2014.

  5. S. Pang, J. Xue, Z. Gao, and Q. Tian, “Image Re-ranking with an Alternating Optimization,” ACM Multimedia, Short paper, Orlando, FL, November 3-7, 2014.

  6. Z. Niu, S. Zhang, X. Gao, and Q. Tian, “Personalized Visual Vocabulary Adaption for Social Image Retrieval,” ACM Multimedia, Short paper, Orlando, FL, November 3-7, 2014.

  7. G. Ren, J. Cai, S. Li, N. Yu, and Q. Tian, “Salable Image Search with Reliable Binary Code,” ACM Multimedia, Short paper, Orlando, FL, November 3-7, 2014.

  8. L. Xie, Q. Tian, and B. Zhang, “Max-SIFT: Flipping Invariant Descriptors for Web Logo Search,”the IEEE International Conference on Image Processing (ICIP), Paris, France, October 27-30, 2014.

  9. D. Zhuang, D. Zhang, J. Li, Q. Tian, and K. Lv, “Hamming Embedding with Fragile Bits for Image Search,” the IEEE International Conference on Image Processing (ICIP), Paris, France, October 27-30, 2014.

  10. Z. Wang, F. Wu, Y. Han, J. Luo, Q. Tian, and Y. Zhuang, “Attribute Predication with Long-Range Interactions via Path Coding,” the IEEE International Conference on Image Processing (ICIP), Paris, France, October 27-30, 2014.

  11. Y. Zhou, B. Ni, S. Yan, P. Moulin, and Q. Tian, “Pipelining Localized Semantic Features for Fine-Grained Action Recognition,” European Conference on Computer Vision (ECCV), Acceptance: 360/1444=24.9%, Zurich, Switzerland, September 6-12, 2014.

  12. S. Sun, W. Zhou, H. Li, and Q. Tian, “Search by Detection: Object-level Feature for Image Retrieval,” ACM International Conference on Internet Media Computing and Service (ICIMCS), July 2014.

  13. J. Wen, W. Zhou, R. Hong, M. Wang, and Q. Tian, “Evaluation on the Impact of Image Quality on Image Retrieval,” ACM International Conference on Internet Media Computing and Service (ICIMCS), July 2014.

  14. Z. Yu, F. Wu, Y. Yang, Q. Tian, J. Luo, Y. Zhuang, “Discriminative Coupled Dictionary Hashing for Fast Cross-media Retrieval,” the 37th Annual International ACM SIGIR conference (SIGIR 2014), Acceptance rate 21%, 82 out of 387 submissions, Queensland, Australia, July 6-11, 2014.

  15. J. Ji, J. Li, S. Yan, Q. Tian, B. Zhang, “Similarity-Preserving Binary Signature for Linear Subspace, ” the 28th AAAI Conference on Artificial Intelligence (AAAI-2014), Acceptance rate 28%, 398 out of 1406 submissions Quebec City, Canada, July 27-31, 2014.

  16. Z. Yu, Y. Zhang, Tang, Y. Yang, Q. Tian, and J. Luo, “Cross-Media Hashing with Kernel Regression,” IEEE International Conference on Multimedia and Expo (ICME), Acceptance rate: 29.7%, 213 out of 716 submissions, Chengdu, China, July 14-18, 2014.

  17. Y. Yang, J. Cai, Z. Zha, and Qi Tian, “A Stereo-Vision-Assisted Model for Depth Map Super-resolution,” IEEE International Conference on Multimedia and Expo (ICME), Acceptance rate: 29.7%, 213 out of 716 submissions, Chengdu, China, July 14-18, 2014.

  18. X. Yang, L. Liu, X. Qian, T. Mei, and Q. Tian, “Mobile Visual Search via Hierarchical Sparse Coding,” IEEE International Conference on Multimedia and Expo (ICME), Acceptance rate: 29.7%, 213 out of 716 submissions, Chengdu, China, July 14-18, 2014.

  19. L. Zheng, S. Wang, W. Zhou, and Q. Tian, “Bayes Merging of Multiple Vocabularies for Scalable Image Retrieval,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Acceptance rate: 29.88%, 540 out of 1807 submissions, Columbus, Ohio, USA, June 17-19, 2014.

  20. L. Zheng, S. Wang,  Z. Liu, and Q. Tian, “Packing and Padding: Coupled Multi-index for Accurate Image Retrieval,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Acceptance rate: 29.88%, 540 out of 1807 submissions, Columbus, Ohio, USA, June 17-19, 2014.

  21. L. Xie, J. Wang,  B. Zhang, and Q. Tian, “Orientational Pyramid Matching for Recognizing Indoor Scenes,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Acceptance rate: 29.88%, 540 out of 1807 submissions, Columbus, Ohio, USA, June 17-19, 2014.

  22. Z. Niu, G. Hua,  X. Gao, and Q. Tian, “Coherent Semantic-visual Indexing for Large-scale Image Retrieval,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Acceptance rate: 29.88%, 540 out of 1807 submissions, Columbus, Ohio, USA, June 17-19, 2014.

  23. K. Zhang, Y. Fang, D. Min, L. Sun, S. Yang, S. Yan, and Q. Tian, “Cross-modal Hashing by Lp Norm Multiple Subgraph Combination,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Acceptance rate: 29.88%, 540 out of 1807 submissions, Columbus, Ohio, USA, June 17-19, 2014.

  24. Z. Liu, S. Wang, L. Zheng, and Q. Tian, “Visual Reranking with Improved Image Graph,” oral, IEEE International Conference on Accoustics, Speech and Signal Processing (ICASSP), Florence, Italy, May 4-9, 2014.  

  25. Q. Luo, S. Zhang, T. Huang, W. Gao, and Q. Tian, “Superimage: Packing Semantic-Relevant Images for Indexing and Retrieval,” 2014 ACM International Conference on Multimedia Retrieval (ICMR), oral (acceptance rate: 19.1%, 21/110 full papers), Glasgow, United Kingdom, April 1-4, 2014.

  26. J. Cai, Q. Liu, D. Joshi, F. Chen, and Q. Tian, “Scalable Image Search with Multiple Index Tables,” 2014 ACM International Conference on Multimedia Retrieval (ICMR), short paper (acceptance rate: 48%, 27/56 short papers), Glasgow, United Kingdom, April 1-4, 2014..

Back to top

Year 2013

Journal Papers:

  1. S. Zhang, Q. Tian, Q. Huang, K. Lu, and W. Gao, “Edge-SIFT: Discriminative Binary Descriptor for Large-scale Mobile Partial-Duplicate Image Search,” IEEE Transactions on Image Processing, pp. 2289-2902, Vol. 22, No. 7, July 2013.

  2. W. Zhou, H. Li, Y. Lu, and Qi Tian, “SIFT Match Verification by Geometric Coding for Large-Scale Partial-duplicate Web Image Search,” ACM Transactions on Multimedia Computing, Communications and Applications (TOMCCAP), Vol. 9, No. 1, Article 4, February, 2013.

  3. B. Ni, M. Xu, B. Cheng, M. Wang, S. Yan, and Q. Tian, “Learning to Photograph: a Compositional Perspective,” IEEE Transactions on Multimedia, pp.1138-1151, Vol. 15, No. 5, August 2013.

  4. B. Ni, S. Yan, M. Wang, A. Kassim, and Q. Tian, “High-Order Local Spatial Context Modeling by Spatialized Random Forest,” IEEE Transactions on Image Processing, Vol. 22, No. 2, pp: 739-751, February 2013.

  5. Z. Zha, Q. Tian, J. Cai, and Z. Wang, “Interactive Social Group Recommendation for Flickr Photos, ” Neurocomputing, Vol. 105, pp. 30-37, April 2013.

  6. L. Cao, R. Ji, W. Liu, H. Yao, and Q. Tian, “Weakly Supervised Codebook Learning by Iterative Label Propagation with Graph Quantization, ” Signal Processing,  an international journal of the European Association for Signal Processing (EURASIP), Vol. 93, No. 8, pp.2274-2283, August 2013.

  7. C. Zhang, J. Liu, Q. Tian, C. Liang, Q. Huang, “Beyond Visual Features: A Weak Semantic Image Representation Using Exemplar Classifiers for Classification,” Neurocomputing, Vol. 120, pp.318-324, November 2013.

  8. C. Zhang, S. Wang, Q. Huang, C. Liang, J. Liu, and Q. Tian, “Laplacian Affine Sparse Coding with Tilt and Orientation Consistency for Image Classification,” Journal of Visual Communication and Image Representation, 24(7), pp.786-793, 2013.

  9. C. Zhang, S. Wang, Q. Huang, J. Liu, C. Liang, and Q. Tian, “Image Classification Using Spatial Pyramid Robust Sparse Coding, ” Pattern Recognition Letters, 34(9):1046-1052, 2013.

  10. L. Zhang, Y. Han, Y. Yang, M. Song, S. Yan, and Q. Tian, “Discovering Discriminative Graphlets for Aerial Image Categories Recognition,” IEEE Transactions on Image Processing (TIP), Vol. 22, No. 12, pp. 5071-5084, 2013.

Conference Papers:

  1. J. Ji, J. Li, S. Yan, Q. Tian, and B. Zhang, “Min-Max Hash for Jaccard Similarity,” the 2013 IEEE International Conference on Data Mining (ICDM'13), regular paper, (Acceptance Rate: 11.6%, 94 out of 809 submissions), Dallas, Texas, December 7-10, 2013.

  2. S. Chang, G. Qi, J. Tang, Q. Tian, Y. Rui, and T. S. Huang, “Multimedia LEGO: LEarning structured model by probabilistic loGic Ontology tree,” the 2013 IEEE International Conference on Data Mining (ICDM'13), regular paper, (Acceptance Rate: 20.4%, 94 regular papers and 65 short papers out of 809 submissions), Dallas, Texas, December 7-10, 2013.

  3. S. Zhang, M. Yang, X. Wang, Y. Lin, and Q. Tian, “Semantic-aware Co-indexing for Near-Duplicate Image Retrieval, ” International Conference on Computer Vision (ICCV), Acceptance Rate: 455 out of 1505 submissions (30.2%), Sydney, Australia, December 3-6, 2013.

  4. L. Xie, Q. Tian, R. Hong, S. Yan, and B. Zhang, “Hierarchical Part Matching for Fine-Grained Visual Categorization, ” International Conference on Computer Vision (ICCV), Acceptance Rate: 455 out of 1505 submissions (30.2%), Sydney, Australia, December 3-6, 2013.

  5. L. Zhang, Y. Zhang, J. Tang, K. Lu, and Q. Tian, “Binary Code Ranking with Weighted Hamming Distance,” 2013 IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Acceptance Rate:  472 out of 1870 submissions (25.2%), Portland, Oregon, June 23-28, 2013.

  6. L. Zheng, S. Wang, and Q. Tian, “Lp-norm IDF for Large Scale Image Search,” 2013 IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Acceptance Rate:  472 out of 1870 submissions (25.2%), Portland, Oregon, June 23-28, 2013.

  7. J. Mao, H. Li, W. Zhou, S. Yan, and Q. Tian, “Scale-based Region Growing for Scene Text Detection,” The 21st ACM International Conference on Multimedia (MM"13), Full Paper, Acceptance Rate: 20%, Barcelona, Spain, October 21-25, 2013.

  8. L. Zhang, Y. Zhang, J. Tang, X. Gu, J. Li, and Q. Tian, “Topology Preserving Hashing for Similarity Search,” The 21st ACM International Conference on Multimedia (MM"13), Full Paper, Acceptance Rate: 20%, Barcelona, Spain, October 21-25, 2013.

  9. T. Nguyen, M. Xu, G. Gao, M. Kankanhalli, Q. Tian, and S. Yan, “Static Saliency vs. Dynamic Saliency: A Comparative Study, ” The 21st ACM International Conference on Multimedia (MM"13), Full Paper, Acceptance Rate: 20%, Barcelona, Spain, October 21-25, 2013.

  10. Z. Mao, Y. Zhang, and Q. Tian, “What are the Distance Metrics for Local Features,” The 21st ACM International Conference on Multimedia (MM'13), Short Paper, Acceptance Rate: 30%, Barcelona, Spain, October 21-25, 2013.

  11. J. Chen, Y. Han, X. Cao, and Q. Tian, “Object Coding on the Semantic Graph for Scene Classification,” The 21st ACM International Conference on Multimedia (MM"13), Short Paper, Acceptance Rate: 30%, Barcelona, Spain, October 21-25, 2013.

  12. S. Pang, J. Xue, N. Zheng, and Q. Tian, “Locality Preserving Verification for Image Search,” The 21st ACM International Conference on Multimedia (MM'13), Short Paper, Acceptance Rate: 30%, Barcelona, Spain, October 21-25, 2013.

  13. C. Zhang, S. Wang, Q. Huang, C. Liang, J. Liu and Q. Tian, “Undo the Codebook Bias by Linear Transform for Visual Applications,” The 21st ACM International Conference on Multimedia (MM'13), Short Paper, Acceptance Rate: 30%, Barcelona, Spain, October 21-25, 2013.

  14. C. Zhang, S. Wang, Q. Huang, C. Liang, J. Liu and Q. Tian, “Beyond Bag of Words: Image Representation in Sub-Semantic Space,” The 21st ACM International Conference on Multimedia (MM'13), Short Paper, Acceptance Rate: 30%, Barcelona, Spain, October 21-25, 2013.

  15. Y. Yang, Q. Liu, Y. Gao, B. Xiong, L. Yu, H. Luan, R. Ji, and Q. Tian, “Stereotime: A Wireless 2D and 3D Switchable Video Communication System,” Technical Demo Paper at the 21st ACM International Conference on Multimedia, Barcelona, Spain, October 21-25, 2013.

  16. D. Zhuang, D. Zhang, J. Li, and Q. Tian, “Improved Binary Feature Matching Through Fusion of Hamming Distance and Fragile Bit Weight,” The 3rd International Workshop on Interactive Multimedia on Mobile and Portable Devices (IMMPD 2013), in conjunction with ACM International Conference on Multimedia, Barcelona, Spain, October 21-25, 2013.

  17. L. Xie, Q. Tian, and B. Zhang, “Feature Normalization for Part-based Image Classification,” Oral paper, 2013 IEEE International Conference on Image Processing (ICIP 2013), Melbourne, Australia, September 15-18, 2013.

  18. K. Teng, J. Wang, Q. Tian, and H. Lu, “Improving Scene Classification with Weakly Spatial Symmetry Information,” Poster paper, 2013 IEEE International Conference on Image Processing (ICIP 2013), Melbourne, Australia, September 15-18, 2013.

  19. Z. Mao, Y. Zhang, and Q. Tian, “A Novel Feature Descriptor Exploring Anisotropy and Non-uniformity, ” Pacific-rim Conference on Multimedia, Nanjing, China, Dec. 13-16, 2013.

  20. J. Cai, Z. Zha, H. Luan, S. Zhang, and Q. Tian, “Learning Attribute-aware Dictionary for Image Classification and Search,” Oral, 2013 ACM International Conference on Multimedia Retrieval (ICMR), Dallas, Texas, USA, April 16-19, 2013.

  21. S. Zhang, Q. Tian, Q. Huang, W. Gao, and Y. Rui, “Multi-order Visual Phrase for Scalable Image Search, ” Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service(ICIMCS), pp. 145-149, Huangshan, Anhui, China.

  22. Q. Luo, S. Zhang, T. Huang, W. Gao, and Q. Tian, “Scalable Mobile Search with Binary Phrase,” Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service(ICIMCS), pp. 145-149, Huangshan, Anhui, China.

  23. J. Shen, T. Mei, Q. Tian, and X. Gao, “Image Search Reranking with Multi-Latent Topical Graph,” the 2013 IEEE International Symposium on Circuits and Systems (ISCAS), lecture presentation, May 19-23, 2013, Beijing, China.

  24. D. Zhuang, D.M. Zhang, J.T. Li, and Q. Tian, “A Novel Binary Feature from Intensity Difference Quantization between Random Sample of Points,” Special Session of Cross-media Computing for Content Understanding and Summarization, the 19th International Conference on Multimedia Modeling(MMM), January 7-9, 2013, Huangshan, China.

  25. L. Zhang, Y. D. Zhang, D.M. Zhang, and Q. Tian, “Distribution-Aware Locality Sensitive Hashing,” Special Session of Large-Scale Rich Media Search and Management in the Social Web, the 19th International Conference on Multimedia Modeling(MMM), January 7-9, 2013, Huangshan, China.

  26. S. Liu, P. Cui, B. Luan, W. Zhu, S. Yang, and Q. Tian, “Social visual image ranking for Web image search,” the 19th International Conference on Multimedia Modeling(MMM), Best Paper Award, January 7-9, 2013, Huangshan, China.

 

Back to top

Year 2012

Journal Papers:

  1. C. Zhang, Q. Huang, J. Liu, Q. Tian, C. Liang, and X. Zhu, “Image Classification Using Harr-like Transformation of Local Features with Coding Residuals,” Signal Processing,  an international journal  of the European Association for Signal Processing (EURASIP), September, 2012, 93(8):2111-2118.

  2. W. Zhou, H. Li, Y. Lu, and Q. Tian, “Principal Visual Word Discovery for Automatic License Plate Detection,IEEE Transactions on Image Processing (TIP), Vol. 21, No. 9, pp:4269-4279, September, 2012.

  3. B. Jiao, L. Yang, J. Xu, and Q. Tian, and F. Wu, “Visually Summarizing Web Pages Through Internal and External Images,” IEEE Transactions on Multimedia (TMM), Vol. 14, No. 6, pp. 1673-1683, December 2012.

  4. G. Qi, C. Aggarwal, Q. Tian, H. Ji, and T. S. Huang, “Exploring Context and Content Links in Social Media: A Latent Space Method,” IEEE Transactions on Pattern Analysis and Machine Intelligence(PAMI), Vol. 34, No. 5, pp. 850-862, May 2012.

  5. S. Wang, Q. Huang, S. Jiang, and Q. Tian, “S3MKL: Scalable Semi-Supervised Multiple Kernel Learning for Real World Image Applications,” IEEE Transactions on Multimedia (TMM), Vol. 14, No. 4, pp: 1259-1274, August, 2012.

  6. Y. Han, F. Wu, Q. Tian, and Y. Zhuang, “Image Annotation by Input-Outp​ut Structural Grouping Sparsity,” IEEE Transactions on Image Processing (TIP), Volume 21, Issue 6, pp: 3066-3079, June 2012.

  7. Z. Niu, X. Gao and Q. Tian, “Tactic Analysis Based on Real-world Ball Trajectory in Soccer Video,” Pattern Recognition (PR), Vol. 45, Issue 5, pp.1937-1947, May 2012.

  8. Y. Su, Y. Fu, X. Gao, and Q. Tian, “Discriminant Learning through Multiple Principal Angles for Visual Recognition,” IEEE Transactions on Image Processing (TIP), Vol. 21, No. 3, pp. 1381-1390, March 2012.

  9. R. Ji, H. Yao, W. Liu, X. Sun, and Q. Tian, “Task-Dependent Visual Codebook Compression,” IEEE Transactions on Image Processing(TIP), Vol. 32, No. 4, pp. 2282-2293, April 2012.

  10. S. Wang, Q. Huang, S. Jiang, Q. Tian, and L. Qin , “Nearest-Neighbor Method Using Multiple Neighborhood Similarities for Social Media Data Mining, ” Neurocomputing, Special issue on Learning from Social Media Network, Vol. 95, pp:105-116, October, 2012.

  11. C. Tian, J. Fan, X. Gao, and Q. Tian, “Multi-view Face Recognition: From TensorFace to V-Tensor Face and K-Tensor Face,” IEEE Transactions on Systems, Man, and Cybernetics, Part B (SMC Part B), Special Issue on Subspace and Manifold Learning for Image and Video Indexing and Searching, Vol. 42, No. 2, pp.320-333, April 2012.

  12. J. Wang, B. Wang, L. Duan, Q. Tian, and H. Lu, “Interactive Ads Recommendation with contextual Search on Product Topic Space,” accepted to Multimedia Tools and Applications (MTA), Available online, July, 2012.

  13. M. Wang, D. Ji, Q. Tian, and X.S. Hua. “Intelligent Photo Clustering with User Interaction and Distance Metric Learning,” Pattern Recognition Letters (PRL), Vol. 33, Issue 4, pp. 462-470, 2012.

  14. C. Zhang, J. Liu, Q.Tian, Y. Han, H. Lu, and S. Ma, “A Boosting Sparsity Constrained Bi-Linear Model for Object Recognition,” IEEE Multimedia Magazine, Volume 19, Number 2, pp:58-68, February, 2012.

 

Conference Papers:

  1. J. Ji, J. Li, B. Zhang, S. Yan and Q. Tian, “Super-Bit Locality-Sensitive Hashing,”  the Neural Information Processing Systems (NIPS), Poster (acceptance rate 25.2% , 370 out 1467 ), December 3-6, 2012, Lake Tahoe, Nevada.

  2. S. Liu, P. Cui, B. Luan, W. Zhu, S. Yang, and Q. Tian, “Social visual image ranking for Web image search,” Best Paper Award, the 19th International Conference on Multimedia Modeling(MMM), January 7-9, 2013, Huangshan, China.

  3. W. Zhou, H. Li, M. Wang, Y. Lu and Q. Tian, “Binary SIFT: Towards Efficient Feature Matching Verification for Image Search,” Best Paper Award, the 4th ACM International Conference on Internet Multimedia Computing and Service (ICIMCS 2012), Wuhan, China, September 9-11, 2012.

  4. L. Xie, Q. Tian, and B. Zhang, “Spatial Pooling of Heterogeneous Features for Image Applications,” ACM Multimedia, Full Paper (acceptance rate 20.2%), October 29- November 2, 2012, Nara, Japan.

  5. W. Zhou, H. Li, Y. Lu, and Q. Tian, “Scalar Quantization for Large Scale Image Search,” ACM Multimedia, Full Paper (acceptance rate 20.2%), October 29- November 2, 2012, Nara, Japan.

  6. Z. Liu, H. Li, W. Zhou and Q. Tian, “Embedding Spatial Context into Inverted File for Large-Scale Image Search,” ACM Multimedia, Full Paper (acceptance rate 20.2%), October 29- November 2, 2012, Nara, Japan.

  7. Y. Han, F. Wu, X. Lu, Q. Tian, J. Luo, and Y. Zhuang, “Correlated Attribute Transfer with Multi-task Graph-Guided Fusion,” ACM Multimedia, Full Paper (acceptance rate 20.2%), October 29- November 2, 2012, Nara, Japan.

  8. X. Li, W. Zhou, J. Tang, and Q. Tian, “Query Expansion Enhancement by Fast Binary Matching,” ACM Multimedia, Short Paper (acceptance rate about 31.2%), October 29- November 2, 2012, Nara, Japan.

  9. J. Xiao, W. Zhou, and Q. Tian, “Image Tag Re-ranking by Coupled Probability Transition,” ACM Multimedia, Short Paper (acceptance rate 31.2%), October 29- November 2, 2012, Nara, Japan.

  10. J. Cai, W. Zhou, Z. Zha, and Q. Tian, “Attribute-assisted Reranking for Web Image Retrieval,” ACM Multimedia, Short Paper (acceptance rate 31.2%), October 29- November 2, 2012, Nara, Japan.

  11. J. Bian, Z. Zha, H. Zhang, Qi Tian, and T.-S. Chua, “Visual Query Attributes Suggestion,” ACM Multimedia, Short Paper (acceptance rate 31.2%), October 29- November 2, 2012, Nara, Japan.

  12. Z. Cheng, L. Qin, T. Ye, Q. Huang, and Q. Tian, “Human Daily Action Analysis with Multi-View and Color-Depth Data,” accepted to 2nd Workshop on Consumer Depth Cameras for Computer Vision (CDC4CV), in conjunction with ECCV 2012, Firenze, Italy, October 7-13, 2012.

  13. Z. Niu, G. Hua, X. Gao, and Q. Tian, “Context Aware Topic Model for Scence Recognition, ” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), (acceptance rate 24%, 465 out of 1933) June 16-21, 2012, Providence, Rhode Island, USA.

  14. S. Wang, Q. Huang, S. Jiang, and Q. Tian, “Multi-Feature Similarity Learning with Knowledge Transfer among Semantics and Social Tagging, ” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), (acceptance rate 24%, 465 out of 1933) June 16-21, 2012, Providence, Rhode Island, USA.

  15. L. Cao, R. Ji, Y. Gao, H. Yao, and Q. Tian,  “Weakly Supervised Sparse Coding with Geometric Consistency Pooling,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), (acceptance rate 24%, 465 out of 1933) June 16-21, 2012, Providence, Rhode Island, USA.

  16. Y. Han, F. Wu, Q. Tian, and Y. Zhuang, “Graph-Guided Sparse Reconstruction for Region Tagging, ” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), (acceptance rate 24%, 465 out of 1933) June 16-21, 2012, Providence, Rhode Island, USA.

Back to top

 

Year 2011

Journal Papers:

  1. Y. Gao, M. Wang, Z. J. Zha, Q. Tian, Q. Dai, N. Zhang. “Less is More: Efficient 3D Object Retrieval with Query View Selection,” IEEE Transactions on Multimedia (TMM), Vol. 13, No. 5, pp. 1007-1018, October 2011.

  2. R. Ji, Y. Gao, B. Zhong, H. Yao, and Q. Tian, "Mining City Landmarks by Modeling Reconstruction Sparsity," ACM Transactions on Multimedia Computing, Communications and Applications (TOMCCAP), Vol.7 (supplement):31, October, 2011.

  3. R. Ji, H. Yao, X. Xie, and Q. Tian, “Vocabulary Hierarchy Optimization and Transfer for Scalable Image Search,” IEEE Multimedia Magazine, pp. 66-76, Vol. 18, Issue 3, July-September 2011.

  4. S. Zhang, Q. Tian, G. Hua, Q. Huang, and W. Gao, “Generating Descriptive Visual Words and Visual Phrases for Large-Scale Image Applications,” IEEE Transactions on Image Processing (TIP), Vol. 20, No. 9, pp:2664-2677, September 2011.

  5. W. Zhou, Q. Tian, Y. Lu, L. Yang, and H. Li, “Latent Visual Context Learning for Web Image Applications,” Pattern Recognition, Special Issue on Semi-Supervised Learning for Visual Content Analysis and Understanding, Vol. 44, Issue 10-11, pp. 2263-2273, October, 2011.

  6. S. Zhang, Q. Tian, G. Hua, W. Zhou, Q. Huang, H. Li, and W. Gao, “Modeling Spatial and Semantic Cues for Large-Scale Near-Duplicated Image Retrieval,” Journal of Computer Vision and Image Understanding, Special Issue of Feature Oriented Image and Video Computing for Extracting Contexts and Semantics, Vol. 115, Issue 3, pp. 403-414, March, 2011.

  7. R. Ji, H. Yao, and Q. Tian, and Pengfei Xu, Xiaoshuai Sun, Xianming Liu, “Context-aware Semi-Local Feature Detector,” ACM Transactions on Intelligent Systems and Technology (TIST), 3(3):44, 2011.

  8. Y. Lu, N. Sebe, R. Hytnen, and Q. Tian, “Personalization Multimedia Retrieval: A Survey,” International Journal of Multimedia Tools and Applications, Special Issue: Survey Papers in Multimedia by World Experts, 51:1, pp: 247-277, 2011, Editors: R. Jain, A. Del Bimbo, T-S. Chua, and B. Furht.

  9. Q. Tian, S. Zhang, W. Zhou, R. Ji, B. Ni, and N. Sebe,  “Building Descriptive and Discriminative Visual Codebook for large-scale Image Applications,” International Journal of Multimedia Tools and Applications, Special Issue: Hot Research Topics in Multimedia, 51:441-477, 2011, Editors: R. Jain, A. Del Bimbo, T-S. Chua, and B. Furht.

 

Conference Papers:

  1. X. Tian, Y. Lu, L. Yang, and Q. Tian, “Learning to Judge Image Search Results,” ACM Multimedia, full paper (acceptance rate: 17.3%, 58 out of 335), pp: 363-372, November 28-December 1, 2011, Scottsdale, AZ, USA.

  2. X. Liu, H. Yao, R. Ji, P. Xu, X. Sun, and Q. Tian, “Learning Heterogeneous Data for Hierarchical Web Video Classification, ” ACM Multimedia, full paper (acceptance rate: 17.3%, 58 out of 335), pp: 433-442, November 28-December 1, 2011, Scottsdale, AZ, USA.

  3. X. Li, Y. Song, Y. Lu, and Q. Tian, “Spatial Pooling for Transformation Invariant Image Representation,” ACM Multimedia, pp: 1509-1512, short paper (acceptance rate: 36.3%, 120 out of 331), pp. 1509-1512, November 28-December 1, 2011, Scottsdale, AZ, USA.

  4. W. Zhou, H. Li, Y. Lu, and Q. Tian, “Large Scale Image Search with Geometric Coding,” ACM Multimedia, pp: 1349-1352, short paper (acceptance rate: 36.3%, 120 out of 331), November 28-December 1, 2011, Scottsdale, AZ, USA.

  5. Z. Cheng, L. Qin, Q. Huang, S. Jiang, S. Yan, and Q. Tian, “Human Group Activity with Fusion of Motion and Appearance Information, ” ACM Multimedia, pp: 1401-1404, short paper (acceptance rate: 36.3%, 120 out of 331), November 28-December 1, 2011, Scottsdale, AZ, USA.

  6. S. Purushotham, Q. Tian, and C.-C. Jay Kuo, “Picture-in-Picture Copy Detection Using Spatial Coding Technique,” International ACM Workshop on Automated Media Analysis and Production for Novel TV Services (AIEMPro), in conjunction with ACM Multimedia, Nov. 27- Dec. 1, 2011, Scottsdale, AZ, USA.

  7. S. Zhang, Q. Tian, Q. Huang, and W. Gao, “ObjectBook Construction for Large-Scale Semantic Aware Image Retrieval, ” 2011 IEEE International Workshop on Multimedia Signal Processing (MMSP), pp: 1-6, Top 10% Paper Award, Hangzhou, China, October 17-19, 2011.

  8. S. Wang, Q. Huang, S. Jiang and Q. Tian, “Efficient Lp-norm Multiple Feature Metric Learning for Image Data Mining,” The 20th ACM Conference on Information and Knowledge Management (CIKM 2011), poster, pp: 2077-2080, October 24-28, 2011, Glasgow, UK.

  9. J. Liu,C. Zhang, Q. Tian, C. Xu, H. Lu, and S. Ma, “One Step Beyond Bags of Features: Visual Categorization Using Components,” IEEE International Conference on Image Processing (ICIP), pp. 2417-2420, Sep. 11-14, 2011, Brussels, Belgium.

  10. Z. Niu, G. Hua, X. Gao and Q. Tian, “Spatial-DiscLDA for Visual Recognition,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), (acceptance rate 26.4%, 379 out of 1677), pp: 1769-1786, June 20-25, 2011, Colorado Springs, USA.

  11. G. Qi, Q. Tian, and T. S. Huang, “Locality-Sensitive Support Vector Machines by Exploring Local Correlation for Web Image Annotation,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), (acceptance rate 26.4%, 379 out of 1677), pp: 841-848, June 20-25, 2011, Colorado Springs, USA.

  12. J. Feng, B. Ni, Q. Tian, and S. Yan, “Geometric Lp-norm Feature Pooling for Image Classification,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), (acceptance rate 26.4%, 379 out of 1677), pp: 2697-2704, June 20-25, 2011, Colorado Springs, USA.

  13. C. Zhang, J. Liu, Q. Tian, C. S. Xu, H. Lu and S. Ma, “Image Classification by Non-Negative Sparse Coding, Low-Rank and Sparse Decomposition,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), (acceptance rate 26.4%, 379 out of 1677) pp: 1673-1680, June 20-25, 2011, Colorado Springs, USA.

  14. G. Qi, C. Aggarwal, Y. Rui, Q. Tian, S. Chang, and T.S. Huang, “Towards Cross-Category Propagation for Learning Visual Concepts,” oral (3.5% acceptance rate, 59 out of 1677), pp:897-904, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 20-25, 2011, Colorado Springs, USA.

  15. X. Li, Y. Song, Y. Lu, and Q. Tian, “Multi-layer Orthogonal Visual Codebook for Image Classification,” oral, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 22-27, 2011, Prague, Czech Republic.

  16. J . Cai, Z. Zha, Q. Tian, and Z. Wang, “Semi-Automatic Flickr Group Suggestion,” The 17th International Conference on Multimedia Modeling (MMM), pp:77-87, January 5-7, 2011, Taibei, Taiwan.

  17. J. Shen, M. Wang, S. Yan and Q. Tian, “Probabilistic Indexing of Media Sequences, ” Proc. of the 3rd ACM International Conference on Internet Multimedia Computing and Service (ICIMCS), pp. 108-111, August 5-7, 2011, Chengdu, Sichuan, China.

  18. J. Xiao and Q. Tian, “Annotate Wikipedia with Flickr Images: Concepts and Case Study,” 2nd International Conference on Internet Multimedia Computing and Service (ICIMCS), December 30-31, 2010, Harbin, China.

  19. Y. Song, J. Tang, X. Li, and Q. Tian, “Effective Image Representation Based on bi-layer Visual Codebook”, First Asian Conference on Pattern Recognition (ACPR), November 28-30, 2011, Beijing, China.

Back to top

 

Year 2010

Book Chapter:

  1. Susanne Boll, Qi Tian, Lei Zhang, Zili Zhang, and Yi-Ping Phoebe Chen (Eds.), LNCS 5916, Advances in Multimedia Modeling, MMM 2010, Chongqing, China, January 5-8, 2010, Springer.

 

Journal Papers:

  1. S. Zhang, Q. Huang, S. Jiang, W. Gao, and Q. Tian, “Affective Visualization and Retrieval for Music Video”, IEEE Transactions on Multimedia, Special Issue on Multimodal Affective Interaction, pp. 510-522, Vol. 12, No. 6, October 2010.

  2. Y. Lu, L. Zhang, J. Liu, and Q. Tian, “Construct Concept Lexica with Small Semantic Gaps,” IEEE Transactions on Multimedia, pp. 288-299, Vol. 12, No. 4, June 2010.

 

Conference Papers:

  1. X. Liu, H. Yao, R. Ji, P. Xu, X. Sun, and Q. Tian, “Visual Topic Model for Web Image Annotation,” 2nd ACM International Conference on Multimedia Computing and Service (ICIMCS), December 30-31, 2010, Harbin, China.

  2. B. Wang, J. Wang, L. Duan, Q. Tian and H. Lu, “Interactive Service Recommendation Based on Ad Concept Hierarchy,” 2nd ACM International Conference on Multimedia Computing and Service (ICIMCS), December 30-31, 2010, Harbin, China.

  3. C. Zhang, J. Liu, J. Wang, Q. Tian, C. Xu, H.Lu, and S. Ma, “Image Classification Using Spatial Pyramid Coding and Visual Word Reweighting,” The Tenth Asian Conference on Computer Vision (ACCV), pp: 239-249, Queenstown, New Zealand, November 8-12, 2010.

  4. S. Zhang, Q. Huang, G. Hua, S. Jiang, W. Gao, and Q. Tian, “Building Contextual Visual Vocabulary for Large-scale Image Applications,” Full Paper (acceptance rate: 16%) at ACM Multimedia, Florence, Italy, October 25-29, 2010.

  5. S. Wang, Q. Huang, S. Jiang, and Q. Tian, “S3MKL: Scalable Semi-supervised Multiple Kernel Learning for Image Data Mining,” Full Paper (acceptance rate: 16%) at ACM Multimedia, Florence, Italy, October 25-29, 2010.

  6. W. Zhou, Y. Lu, H. Li, Y. Song, and Q. Tian, “Spatial Coding for Large Scale Partial-Duplicate Web Image Search,” Full Paper (acceptance rate: 16%) at ACM Multimedia, Florence, Italy, October 25-29, 2010.

  7. F. Wu, Y. Han, Q. Tian, and Y. Zhuang, “Multi-label Boosting for Image Annotation by Structural Grouping Sparsity,” Full Paper (acceptance rate: 16%) at ACM Multimedia, Florence, Italy, October 25-29, 2010.

  8. B. Chen, B. Ni, S. Yan, and Q. Tian, “Learning to Photograph,” Full Paper (acceptance rate: 16%) at ACM Multimedia, Florence, Italy, October 25-29, 2010.

  9. S. Wang, Q. Huang, S. Jiang, and Q. Tian, “Nearest-Neighbor Classification Using Unlabeled Data for Real World Image Application,” short paper at ACM Multimedia, Florence, Italy, October 25-29, 2010.

  10. Z. Niu, Q. Tian, and X. Gao, “Real-World Trajectory Extraction for Attack Pattern Analysis in Soccer Video,” short paper at ACM Multimedia, Florence, Italy, October 25-29, 2010.

  11. W. Zhou, Y. Lu, H. Li, and Q. Tian, “Canonical Image Selection by Visual Context Learning,” 20th International Conference on Pattern Recognition, oral, August 23-26, 2010, Istanbul, Turkey.

  12. S. Wang, S. Jiang, Q. Huang, and Q. Tian, “Multiple Kernel Learning with High Order Kernels,” Analysis and Search," 20th International Conference on Pattern Recognition, August 23-26, 2010, oral, Istanbul, Turkey.

  13. Q. Hu, L. Qin, Q. Huang, S. Jiang, and Q. Tian, “Action Recognition Using Spatial-Temporal Context,”  oral, 20th International Conference on Pattern Recognition, August 23-26, 2010, Istanbul, Turkey.

  14. B. Wang, J. Wang, L. Duan, Q. Tian, H. Lu, and W. Gao, “Interactive Web Video Advertising with Context Analysis and Search,” 20th International Conference on Pattern Recognition, August 23-26, 2010, Istanbul, Turkey.

  15. Z. Cheng, L. Qin, Q. Huang, S. Jiang, and Q. Tian, “Group Activity Recognition by Gaussian Processes Estimation,” 20th International Conference on Pattern Recognition, August 23-26, 2010, Istanbul, Turkey.

  16. Y. Song,  Q. Tian, M. Wang, H. Liu, and L. Dai, “Multiple Instance Learning Using Visual Phrases for Object Classification,” acceptance rate: 30%, IEEE International Conference on Multimedia and Expo (ICME), July 19-23, 2010, Singapore.

  17. W. Zhou, Q. Tian, L. Yang, and H. Li, “Latent Visual Context Analysis for Image Re-ranking,” acceptance rate: 38%, ACM International Conference on Image and Video Retrieval (CIVR), Xi'an, China, July 5-7, 2010.

  18. Y. Cui, J.S. Jin, S. Zhang, S. Luo, and Q. Tian, “Music Video Affective Understanding Using Feature Importance Analysis,” acceptance rate: 38%, ACM International Conference on Image and Video Retrieval (CIVR), Xi'an, China, July 5-7, 2010.

  19. D. Ji, M. Wang, Q. Tian, and X. S. Hua, “Semi-Supervised Photo Classification with Distance Metric Learning,” Visual Communications and Image Processing, Huang Shan, Anhui, China, July 11-14, 2010

  20. S. Zhang, Q. Huang, Y. Lu, W. Gao, and Q. Tian, “Building Pair-Wise Visual Word Tree for Efficient Image Re-ranking,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) , March 14-19, 2010, Dallas, TX.

  21. W. Zhou, H. Li, Y. Lu, and Q. Tian, “Large Scale Partial-Duplicate Image Retrieval with Bi-Space Quantization and Geometric Consistency,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), March 14-19, 2010, Dallas, TX.

  22. Y. Su, Y. Fu, Q. Tian, and X. Gao, “Cross-database Age Estimation Based on Transfer Learning,”  IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) , March 14-19, 2010, Dallas, TX.

  23. S. Chen, J. Wang, Y. Ouyang, B. Wang, Q. Tian, and H. Lu, “Multi-level Trajectory Modeling for Video Copy Detection,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) , March 14-19, 2010, Dallas, TX.

  24. W. Zhou, Y. Lu, H. Li, Y. Song, and Q. Tian, “Large Scale Partially Duplicated Web Image Retrieval,” industrial demo paper at ACM Multimedia, pp. 1523-1524, Florence, Italy, October 25-29, 2010.

  25. S. Chen, J. Wang, B. Wang, L. Duan, Q. Tian, H. Lu, “AdVR: Linking Ad Video with Products or Service,” The 16th International Conference on Multimedia Modeling (MMM), Chongqing, China, January 5-8, 2010.

Back to top

 

Year 2009

Journal Paper:

  1. Y. Lu and Q. Tian, “Discriminant Subspace Analysis: an Adaptive Approach for Image Classification,” IEEE Transactions on Multimedia, Vol. 11, No. 7, pp. 1289-1300, November, 2009.

 

Conference Papers:

  1. W. Zhou, Q. Tian, and H. Li, “Visual Block Link Analysis for Image Re-ranking,” the first ACM International Conference on Internet Multimedia Computing and Service, November 23-25, 2009, Kunming, Yunnan, China.

  2. S. Zhang, Q. Tian, G. Hua, Q. Huang, and S. Li, “Descriptive Visual Words and Visual Phrases for Image Applications,” accepted (16% acceptance rate, 22/138) by ACM Multimedia 2009, October 19-23, 2009, Beijing, China.

  3. S. Wang, Q. Huang, S. Jiang, L. Qin, and Q. Tian, “Visual ContextRank for Web Image Re-ranking,” ACM International Workshop on Large-Scale Multimedia Retrieval and Mining (LSMRM), in conjunction with ACM Multimedia 2009, October 23, Beijing, China.

  4. S. Zhang, Q. Tian, Q. Huang, and S. Li, “Utilizing Affective Analysis for Efficient Movie Browsing”, IEEE International Conference on Image Processing (ICIP), Cario, Egypt, November 7-11, 2009.

  5. C. Zhang, J. Liu, Y. Ouyang, Q. Tian, H. Lu, and S. Ma, “Concept-Specific Visual Vocabulary Construction for Object Classification,” The 2009 IEEE Pacific-Rim Conference on Multimedia (PCM), Bangkok, Thailand, December 15-18, 2009

  6. C. Zhang, J. Liu, Y. Ouyang, Q. Tian, H. Lu, S. Ma, “Category Sensitive Codebook Construction for Object Category Recognition”, IEEE International Conference on Image Processing (ICIP), Cario, Egypt, November 7-11, 2009.

  7. G. Guan, Z. Wang, Q. Tian, and D. Feng, “Improved Concept Similarity Measuring in Visual Domain,”  IEEE International Workshop on Multimedia Signal Processing (MMSP), Rio de Janeiro, Brazil, October 5-7, 2009.

  8. G. Hua and Q. Tian, “What Visual Content Analysis Do for Text Based Image Search?” invited paper, Special Session on Challenges in Large-Scale Image Retrieval,  IEEE International Conference on Multimedia and Expo (ICME), New York, NY, June 29-July3, 2009.

  9. J. Xiao, Y. Fu, Y. Lu, and Q. Tian, “Refining Image Retrieval Using One-Class Classification,” Oral , IEEE International Conference on Multimedia and Expo (ICME), June 28-July 3, 2009, New York, NY.

  10. J. Liu, Q. Tian, Y. Lu, C. Wang, L. Zhang, X. Yang, and S. Li, “A Lexica Family with Small Semantic Gap, ”invited paper, Special Session on Challenges in Large-Scale Image Retrieval, IEEE International Conference on Multimedia and Expo (ICME), pp. 1484-1487, June 28-July 3, 2009, New York, NY.

Back to top

 

Year 2008

Journal Papers:

  1. J. Yu and Q. Tian, “Semantic Subspace Projection and Its Applications in Image Retrieval,” IEEE Transactions on Circuit and Systems for Video Technology, Vol. 18, No. 4, pp. 544-548, 2008.

  2. Y. Lu, Q. Tian, J. Neary, F. Liu, and Y. Wang, “Adaptive Discriminant Analysis for Microarray-based Classification,” ACM Transactions on Knowledge Discovery from Data (TKDD), Special Issue on Bioinformatics, Vol.2, No. 1, Article 5, pp:5:1-5:20, March, 2008.

  3. J. Yu, J. Amores, N. Sebe, P. Radeva, and Q. Tian, “Distance Learning for Similarity Estimation,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 30, Issue 3, pp. 451-462, March 2008.

 

Conference Papers:

  1. S. L. Zhang, Q. Huang, Q. Tian, S. Jiang, and W. Gao, “Personalized MTV Affective Analysis Using User Profile,” Pacific Conference on Multimedia (PCM), December 9-13, 2008, Tainan, Taiwan, China.

  2. Y. Lu, L. Zhang, Q. Tian, and W. Y. Ma, “What Are the High Level Concepts with Small Semantic Gap?” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR 2008), Anchorage, Alaska, June 24-26, 2008.

  3. S. L. Zhang, Q. Tian, S. Q. Jiang, Q. Huang, and W. Gao, “Affective MTV Analysis based on Arousal and Valence Features,” IEEE International Conference on Multimedia and Expo (ICME), June 23-26, 2008, Hannover, Germany.

  4. L. Zhuang, W. Zhou, Q. Tian, and N. Yu, “Learning Object from Small and Imbalanced Dataset with Boost-BFKO,” IEEE International Conference on Multimedia and Expo (ICME), pp. 1449-1452, June 23-26, 2008, Hannover, Germany.

Back to top

 

Year 2007

Journal Papers:

  1. Y. Lu, Q. Tian, M. Sanchez, J. Neary, F. Liu, and Y. Wang, “Learning Microarray Gene Expression Data by Hybrid Discriminant Analysis,” IEEE Multimedia Magazine, Special Issue on Multimedia Signal Processing and Systems in Health Care and Life Science, pp. 22-31, October-December 2007 .

  2. Y. Lu, Q. Tian, F. Liu, M. Sanchez, and Y. Wang, “Interactive Semi-Supervised Learning for Microarray Analysis,” IEEE Transactions on Computational Biology and Bioinformatics, Special Issue on Computational Intelligence Approaches in Computational Biology and Bioinformatics, Vo. 4, No. 2, pp: 190-203, April-June 2007.

  3. J. Yu, Q. Tian, T. Rui, and T.S. Huang, “Integrating Discriminant and Descriptive Information for Dimension Reduction and Classification,” IEEE Transactions on Circuits and Systems for Video Technology, Special Issue on the Convergence of Knowledge Engineering, Semantics, and Signal Processing in Audiovisual Information Retrieval, Vol. 17, No.3, pp: 372-377, March 2007.

 

Conference Papers:

  1. L. Zhuang, W. Zhou, Q. Tian, and N. Yu, “Learning Object from Small and Imbalanced Dataset with Boost-BFKO,” IEEE International Conference on Multimedia and Expo (ICME), pp. 1449-1452, June 23-26, 2008, Hannover, Germany.

  2. Y. Lu, I. Cohen, X. Zhou, and Q. Tian, “Feature Selection Using Principal Feature Analysis,” (acceptance rate: 27%) ACM Multimedia 2007, Short Paper Track, September 24-29, 2007, Augsburg, Germany.

  3. Y. Lu, J. Ma, and Q. Tian, “FADA: An Efficient Dimension Reduction Scheme for Image Classification,” Best Paper Candidate in Retrieval Track, Pacific-rim Conference on Multimedia (PCM), Hong Kong, December 11-14, 2007.

  4. N. Sebe and Q. Tian, “Personalized Multimedia Retrieval: The New Trend,” invited paper, 9th ACM SIGMM International Workshop on Multimedia Information Retrieval, Special Session on Personalized Multimedia Information Retrieval, September 28-29, 2007, University of Augsburg, Germany.

  5. C. S. Xu and Q. Tian, “Semantic Analysis and Personalization for Mobile Media Applications,” invited paper, IEEE International Conference on Multimedia and Expo (ICME 2007), Special Session on Mobile Media, pp. 1047-1050, July 2-5, 2007, Beijing, China.

  6. Y. Lu, T. Zhang, and Q. Tian, “i.Boosting for Image Classification,” IEEE International Conference on Multimedia and Expo (ICME 2007), pp. 1711-1714, July 2-5, 2007, Beijing, China.

  7. Y. Lu, J. Yu, N. Sebe, and Q. Tian, “Two-Dimensional Adaptive Discriminant Analysis,” (acceptance rate: 46%, 1344 out of 2922 submissions) in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), vol. 1. pp. 985-988, April 16-20, 2007, Honolulu, Hawaii.

  8. J. Yu, Y. Lu, Y. Xu, N. Sebe, and Q. Tian, “Integrating Relevance Feedback in Boosting for Content-based Image Retrieval,” (acceptance rate: 46%, 1344 out of 2922 submissions) in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), vol. 1, pp. 965-968, April 16-20, 2007, Honolulu, Hawaii.

Back to top

 

Year 2006

Book Chapter:

  1. J. Yu, J. Amores, N. Sebe, and Q. Tian, “Ranking Metrics and Evaluation Measures,” invited book chapter, Advances in Imaging and Electron Physics, Elsevier, Vol. 144, pp. 291-316, 2006.

 

Journal Papers:

  1. Z. Xiong, X. Zhou, Q. Tian, Y. Rui, and T.S. Huang, “Semantic Retrieval of Video,” invited paper, IEEE Signal Processing Magazine, Special Issue on Semantic Retrieval of Multimedia, 23(2):18-27, March 2006.

  2. Q. Tian, “A Foundational Pespective for Visual Information Retrieval,” invited book review for Exploration of Visual Data, IEEE Multimedia Magazine, Vol. 13, No. 2, pp. 90-92, April 2006.

 

Conference Papers:

  1. J. Yu and Q. Tian, “Learning Image Manifolds by Semantic Subspace Projection,” Full paper (acceptance rate: 16%, 21 out of 128 submissions), ACM Multimedia, October 23-27, 2006, Santa Barbara, CA.

  2. J. Yu and Q. Tian, “Adaptive Discriminant Projection for Content-based Image Retrieval,” Oral Paper (15% acceptance rate for oral paper over 2000 submissions), IEEE International Conference on Pattern Recognition (ICPR 2006), August 20-24, 2006, Hong Kong.

  3. J. Yu, J. Amores, N. Sebe, and Q. Tian, “Toward Robust Distance Metric Analysis for Similarity Estimation,” (acceptance rate: 23%, 318 papers out of about 1400 submissions) IEEE International Conference on Computer Vision and Pattern Recognition (CVPR 2006), New York, NY, June 17-22, 2006.

  4. J. Yu and Q. Tian, “Constructing Descriptive and Discriminant Features for Face Classification,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006), Best Student Paper, vol. 2, pp. 121-124, May 14-19, 2006, Toulouse, France.

  5. J. Yu, J. Amores, N. Sebe, and Q. Tian, “A New Study on Distance Metrics as Similarity Measurement,” (Lecture paper: 20% acceptance rate out of 1028 submissions) IEEE International Conference on Multimedia and Expo (ICME 2006), pp. 533-536, July 9-12, 2006, Toronto, Ontario, Canada.

  6. J. Yu and Q. Tian, “Toward Intelligent Use of Semantic Information on Subspace Discovery for Image Retrieval,” (Lecture paper: 20% acceptance rate out of 1028 submissions) IEEE International Conference on Multimedia and Expo (ICME 2006), pp. 293-296, July 9-12, 2006, Toronto, Ontario, Canada.

Back to top

 

Year 2005

Book Chapters:

  1. Q. Tian, B. Moghaddam, N. Lesh, C. Shen, and T.S. Huang, “Visualization, Estimation and User-Modeling for Interactive Browsing of Personal Photo Libraries,” Chapter 9, pp. 193-222, Book Chapter of Managing Multimedia Semantics, edited by Dr. U. Srinivasan and Dr. S. Nepal, ICT Centre CSIRO, Australia, July 2005, ISBN 1-59140-569-6.

  2. Q. Tian, Y. Wu, J. Yu and T.S. Huang, “Self-Supervised Learning Based on Discriminative Nonlinear Features and Its applications for Pattern Classification,” Chapter 3, pp.52-75, Book Chapter of Managing Multimedia Semantics, edited by Dr. U. Srinivasan and Dr. S. Nepal, ICT Centre CSIRO, Australia, July, 2005, ISBN 1-59140-569-6.

 

Journal Paper:

  1. Q. Tian, Y. Wu, J. Yu, and T.S. Huang, “Self-Supervised Learning Based on Discriminative Nonlinear Features for Image Classification, Pattern Recognition, Special Issue on Image Understanding for Digital Photographs, Vol. 38, No. 6, pp. 903-917, 2005.

 

Conference Papers:

  1. J. Yu and Q. Tian, “Boosting Multiple Classifiers by Hybrid Discriminant Analysis for Face Identification,” SPIE’s Optics East, Multimedia Systems and Applications VIII, October 23-26, 2005, Boston, MA.

  2. X. Su, Q. Tian, Q. Xue, N. Sebe, and J. Ma, “Neighborhood Issue in Single-Frame Image Superresolution,” IEEE International Conference on Multimedia and Expo (ICME 2005), Amsterdam, The Netherlands, July 6-8, 2005.

  3. L. Zhang, Q. Tian, N. Sebe, and J. Ma, “Video Object Boundary Reconstruction by 2-Pass Voting,” IEEE International Conference on Multimedia and Expo (ICME 2005), Amsterdam, The Netherlands, July 6-8, 2005.

  4. Q. Tian, J. Yu, and T. S. Huang, “Boosting Multiple Classifiers Constructed by Hybrid Discriminant Analysis,” Sixth International Workshop on Multiple Classifier Systems, Seaside, California, June 13-15, 2005. Also appear in Lecture Notes in Computer Science, editors N. C. Oza, R. Polikar, J. Kittler, et al., Springer-Verlag, Vol. 3541, pp. 42-52, 2005.

  5. Q. Tian, L. Zhang, and J. Ma, “Voting Based Object Boundary Reconstruction,” (acceptance rate: 42%, 241 out of 540 submissions), Visual Communications and Image Processing, Beijing, China, July 12-15, 2005.

  6. N. Sebe, N. Huijsmans, Q. Tian, and T. Gevers, “Towards Complete Performance Characterization in Content-based Retrieval,” Storage and Retrieval Methods and Applications for Multimedia (EI121), IS&T/SPIE's 17th Annual Symposium, Electronic Imaging, Science and Technology, January 16-20, 2005, San Jose, CA.

Back to top

 

Year 2004

Journal Paper:

  1. B. Moghaddam, Q. Tian, N. Lesh, C. Shen, and T. S. Huang, “Visualization and User-Modeling for Browsing Personal Photo Libraries,” International Journal of Computer Vision, Special Issue on Content-Based Image Retrieval, 56(1/2/3), pp. 109-130, 2004.

 

Conference Papers:

  1. Q. Tian, J. Yu, T. Rui, and T. S. Huang, “A Hybrid Feature Dimension Reduction Approach for Image Classification,” Information Technology and Communication (IT Com), SPIE International Symposium, Vol. 5601, pp. 13-23, Philadelphia, PA, October 25-28, 2004.

  2. Q. Tian, Q. Xue, N. Sebe, and T. S. Huang, “Error Metric Analysis and Its Applications", Information Technology and Communication (IT Com), SPIE International Symposium, Vol. 5601, pp. 46-57, Philadelphia, PA, October 25-28, 2004.

  3. N. Sebe, D. P. Huijsmans, and Q. Tian, “Complete Performance Graphics in Probabilistic Information Retrieval,” 2004 Pacific-Rim Conference on Multimedia (PCM 2004), November 30 - December 3, 2004, Tokyo Waterfront City, Japan.

  4. Q. Tian, Q. Xue, J. Yu, N. Sebe, and T. S. Huang, “Toward An Improved Error Metric,” IEEE Int’l Conf. on Image Processing (ICIP’2004), vol. 4, pp. 2199-2202, Singapore, October 24-27, 2004.

  5. Q. Tian, J. Yu, Q. Xue, N. Sebe, and T. S. Huang, “Robust Error Metric for Noise Estimation in Image Indexing,” the 4th International Workshop on Multimedia Data and Document Engineering (MDDE-04), in conjunction with IEEE International Conference on Computer Vision and Pattern Recognition (CVPR 2004), Washington, DC, June 27-July 2, 2004.

  6. Q. Tian, B. Moghaddam, and T. S. Huang, “Towards An Improved Visualization and User-Modeling for Image Libraries,” the 4th IASTED International Conference on Visualization, Imaging, and Image Processing (VIIP 2004), September 6-8, 2004, Marbella, Spain.

  7. Q. Tian, J. Yu, Q. Xue, and N. Sebe, “A New Analysis of the Value of Unlabeled Data in Semi-Supervised Learning for Image Retrieval,” IEEE International Conference on Multimedia and Expo (ICME 2004), vol.2, pp. 1019-1022, Taipei, Taiwan, ROC, June 27-30, 2004.

  8. Q. Tian, J. Yu, T. Rui, and T. S. Huang, “Parameterized Discriminant Analysis for Image Classification,” IEEE International Conference on Multimedia and Expo (ICME 2004), vol. 1, pp. 5-8, Taipei, Taiwan, ROC, June 27-30, 2004.

  9. Q. Tian, J. Yu, Y. Wu, and T. S. Huang, “Learning Based on Kernel Discriminant-EM Algorithm for Image Classification,” IEEE Int’l Conf. on Acoustics, Speech, and Signal Processing (ICASSP’2004), vol. V, pp. 461-464, May 17-24, 2004, Montreal, Quebec, Canada.

Back to top

 

Year 2003

Journal Paper:

  1. N. Sebe, Q. Tian, E. Loupias, M.S. Lew, and T. S. Huang, “Evaluation of Salient Points Techniques,” Image and Vision Computing, Vol. 21, No. 13-14, pp. 1087-1095, December, 2003.

Back to top

 

Year 2002

Conference Papers:

  1. B. Moghaddam, Q. Tian, N. Lesh, C. Shen, and T. S. Huang, “PDH: A Human-Centric Interface for Image Libraries,” invited paper in Video-based HCI session, IEEE Int’l Conf. on Multimedia and Expo (ICME’2002), vol. 1, pp. 901-904, August 26-29, 2002, Lausanne, Switzerland.

  2. Q. Tian, B. Moghaddam, and T. S. Huang, “Visualization, Estimation and User-Modeling for Interactive Browsing of Image Libraries,” Int’l Conf. on Image and Video Retrieval (CIVR’2002), pp. 7-16, London, UK, July 18-19, 2002.

  3. N. Sebe, Q. Tian, E. Loupias, M. S. Lew, and T. S. Huang, “Evaluation of Salient Point Techniques,” Int’l Conf. on Image and Video Retrieval (CIVR’2002), pp. 367-377, London, UK, July 18-19, 2002.

Back to top

 

Year 2001 and before

Journal Papers:

  1. Q. Tian, N. Sebe, M. S. Lew, E. Loupias, and T. S. Huang, “Image Retrieval Using Wavelet-Based Salient Points,” Journal of Electronic Imaging,  pp. 835-849, Vol. 10(4), October Issue, 2001.

  2. Q. Tian, B. Sun, A. Ozguler, S. A. Morris, and W. D.  O’Brien, Jr., “Parametric Modeling in Food Package Defect Imaging,” IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control (UFFC), Vol. 47, No. 3, pp. 635-643, May, 2000.

  3. C. H. Frazier, Q. Tian, A. Ozguler, S. A. Morris, and W. D. O'Brien, Jr., “High Contrast Ultrasound Images of Detects in Food Package Seals,” IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control (UFFC), Vol. 47, No.3, pp. 530-539, May 2000.

  4. Q. Tian, and N.  M. Bilgutay, “Statistical Analysis of Split Spectrum Processing for Multiple Target Detection,” IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control (UFFC), Vol. 45, No. 1, pp.251-256, January 1998.

  5. Q. Tian, X. Li, and N. M. Bilgutay, “Multiple Target Detection Using Split Spectrum Processing and Group Delay Moving Entropy,” IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control (UFFC), Vol. 42, No.6, pp.1075-1086, November 1995.

 

Conference Papers:

  1. Q. Tian, B. Moghaddam, and T. S. Huang, “Display Optimization for Image Browsing,” 2nd Int’l Workshop on Multimedia Databases and Image Communications (MDIC’2001), pp. 167-173, Amalfi, Italy, September 17-18, 2001.

  2. B. Moghaddam, Q. Tian, N. Lesh, C. Shen, and T. S. Huang, “Visualization & Layout for Image Libraries,” IEEE Int’l Conf. on Computer Vision and Pattern Recognition (CVPR’2001), Technical Sketches, Kauai, Hawaii, December 11-13, 2001.

  3. Q. Tian, N. Sebe, M. S. Lew, E. Loupias, and T. S. Huang, “Content-Based Image Retrieval Using Wavelet-Based Salient Points,” Storage and Retrieval for Media Databases, SPIE Photonics West, Electronic Imaging, San Jose, California, January 21-26, 2001.

  4. B. Moghaddam, Q. Tian, N. Lesh, C. Shen, and T. S. Huang, “Visualization & Layout for Personal Photo Libraries,” Int’l Workshop on Content-Based Multimedia Indexing (CBMI’2001), pp. 379-386, University of Brescia, Italy, September 19-21, 2001.

  5. B. Moghaddam, Q. Tian, and T. S. Huang, “Spatial Visualization for Content-Based Image Retrieval,” IEEE Int’l Conf. on Multimedia and Expo (ICME’2001), Waseda University, Tokyo, Japan, August 22-25, 2001.

  6. Q. Tian, Y. Wu, T. S. Huang, “Incorporating Discriminant Analysis with EM Algorithm in Image Retrieval”, IEEE Int’l Conf. on Multimedia and Expo (ICME’2000), Vol. 1, pp. 299-302, New York, NY, July 30-August 2, 2000.

  7. Q. Tian, P. Hong, and T. S. Huang, “Update Relevant Image Weights for Content-Based Image Retrieval Using Support Vector Machines,” IEEE Int’l Conf. on Multimedia and Expo (ICME’2000), Vol. 2, pp. 1199-1202, New York, NY, July 30-August 2, 2000.

  8. Q. Tian, Y. Wu, and T. S. Huang, “Combine User Defined Region-of-Interest and Spatial Layout for Image Retrieval,” IEEE Int’l Conf. on Image Processing (ICIP’2000), Vol. 3, pp. 746-749, Vancouver, BC, Canada, September 10-13, 2000.

  9. N. Sebe, Q. Tian, M. S. Lew, E. Loupias, and T. S. Huang, “Color Indexing Using Wavelet-Based Salient Points,” IEEE Workshop on Content-based Access of Image and Video Libraries (CBAIVL’2000), in conjunction with IEEE CVPR'2000, pp. 15-19, South Carolina, June 13-16, 2000.

  10. Y. Wu, Q. Tian, and T. S. Huang, “Discriminant EM Algorithm with Application to Image Retrieval,” IEEE Int’l Conf. on Computer Vision and Pattern Recognition (CVPR’2000), Vol.1, pp. 222-227, South Carolina, June 13-15, 2000.

  11. P. Hong, Q. Tian, and T. S. Huang, “Incorporate Support Vector Machines to Content-Based Image Retrieval with Relevance Feedback,” IEEE Int’l Conf. on Image Processing (ICIP’2000), Vancouver, Canada, September 10-13, 2000.

  12. Y. Wu, Q. Tian, and T. S. Huang, “Integrating Unlabeled Images in Relevance Feedback for Image Retrieval,” The IEEE 15th Int’l Conf. on Pattern Recognition (ICPR’2000), Vol.1, pp. 21-24, Barcelona, Spain, September 3-8, 2000.

  13. Q. Tian, A. Ozguler, S. A. Morris, and W. D. O'Brien, Jr., “High-Contrast RF Correlation Imaging of Defects in Food Package Seals,” IEEE Int’l Ultrasonics Symposium (US’1999), Vol. 1, pp. 809-912, Lake Tahoe, Nevada, October 17-21, 1999.

  14. Q. Tian, and N. M. Bilgutay, “Statistical Analysis of Split Spectrum Processing,” 1996 IEEE Int’l Ultrasonics Symposium (US’1996), Vol. 1, pp. 709-712, San Antonio, Texas, November 3-6, 1996.

  15. Q. Tian, X. Li, and N. M. Bilgutay, “An Iterative Spectral Method for Multiple Target Detection,” IEEE Int’l Ultrasonics Symposium (US’1995), Vol. 1, pp. 712-724, Seattle, WA, November 7-10, 1995.

  16. X. Li, W. Fang, and Q. Tian, “Error Analysis and Robust Data Fusion,” 1994 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP’1994), Vol. 4, pp. 37-40, Adelaide, Australia, April 1994.

Back to top