Selected Publications
2020

Xiaobin Liu, Shiliang Zhang. Domain Adaptive Person Re-Identification via Coupling Optimization. ACM MM, 2020.[pdf][code]

Jianing Li, Shiliang Zhang. Joint Visual and Temporal Consistency for Unsupervised Domain Adaptive Person Re-Identification. ECCV, 2020.[pdf][code]

Dongkai Wang, Shiliang Zhang. Unsupervised Person Re-identification via Multi-label Classification. CVPR, 2020.[pdf][code]

Yingji Zhong, Xiaoyu Wang, Shiliang Zhang. Robust Partial Matching for Person Search in the Wild. CVPR, 2020.[pdf][code]

Jianing Li, Shiliang Zhang, Tiejun Huang. Multi-scale Temporal Cues Learning for Video Person Re-Identification. TIP, 2020.[pdf][code]

2019

Xiaobin Liu, Shiliang Zhang, Xiaoyu Wang, Richang Hong, Qi Tian. Group-Group Loss Based Global-Regional Feature Learning for Vehicle Re-Identification. TIP, 2019.[pdf][code]

Jianing Li, Jingdong Wang, Qi Tian, Wen Gao, Shiliang Zhang. Global-Local Temporal Representations For Video Person Re-Identification. ICCV, 2019.[pdf][code]

Jianing Li, Shiliang Zhang, Qi Tian, Meng Wang, Wen Gao. Pose-Guided Representation Learning forPerson Re-Identification. TPAMI, 2019.[pdf][code]

Shunan Mao, Shiliang Zhang, Ming Yang. Resolution Invariant Person Re-Identification. IJCAI, 2019.[pdf][code]

Jianzhong He, Shiliang Zhang, Ming Yang, Yanhu Shan, Tiejun Huang. Bi-Directional Cascade Network for Perceptual Edge Detection. CVPR, 2019.[code][project page]

Jianming Ye, Shiliang Zhang, Tiejun Huang, Yong Rui. CDbin: Compact Discriminative Binary Descriptor Learned with Efficient Neural Network. TCSVT, 2019.[code][project page]

Jianing Li, Shiliang Zhang, Tiejun Huang. Multi-scale 3D Convolution Network for Video Based Person Re-Identification. AAAI, 2019.[pdf][code]

2018

L. Wei, S. Zhang, W. Gao, and Q. Tian. Person Transfer GAN to Bridge Domain Gap for Person Re-Identification, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.[pdf][datasetpage]

X. Liu, S. Zhang, Q. Huang, and W. Gao. RAM: A Region-Aware Deep Model for Vehicle Re-Identification. IEEE International Conference on Multimedia and Expo. (ICME), 2018.[pdf][code]

H. Yao, S. Zhang, Y. Zhang, J. Li, and Q. Tian. AutoBD: Automated Bi-level Description for scalable fine-grained visual categorization. IEEE Trans. on Image Processing(TIP), 27(1): 10-23, 2018.[pdf]

C. Su, S. Zhang, J. Xing, Q. Tian, and W. Gao. Multi-type attributes driven multi-camera person re-identification, Elsevier Pattern Recognition, 75: 77-89, 2018.[pdf]

2017

C. Su, F. Yang, S. Zhang, Q. Tian, L. S. Davis, and W. Gao. Multi-Task learning with low rank attribute embedding for multi-camera person re-identification. IEEE Trans. on Pattern Analysis and Machine Intelligence(TPAMI), DOI: 10.1109/TPAMI.2017.2679002[pdf]

S. Zhang, S. Zhang, T. Huang, W. Gao, and Q. Tian. Learning affective features with a hybrid deep model for audio-visual emotion recognition. IEEE Trans. on Circuits and Systems for Video Technology(TCSVT), DOI: 10.1109/TCSVT.2017.2719043[pdf]

S. Zhang, S. Zhang, T. Huang, and W. Gao. Speech emotion recognition using deep convolutional neural network and discriminant temporal pyramid matching. IEEE Trans. on Multimedia(TMM), DOI: 10.1109/TMM.2017.2766843[pdf]

C. Su, S. Zhang, Y. Fan, G. Zhang, Q. Tian, W. Gao, and L. S Davis. Attributes driven tracklet -to-tracklet person re-identification using latent prototypes space mapping. Elsevier Pattern Recognition, 66: 4-15, 2017.[pdf]

X. Liu, S. Zhang, T. Huang, and Q. Tian. E2BoWs: an end-to-end bag-of-words model via deep convolutional neural network for image retrieval. Accepted by Elsevier Neurocomputing, 2017.[pdf]

H. Yao, D. Zhang, J. Li, J. Zhou, S. Zhang, Y. Zhang. DSP: Discriminative Spatial Part modeling for fine-grained visual categorization. Elsevier Image Vision Comput., 63: 24-37, 2017.[pdf]

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), 2017.[pdf][code]

L. Wei, S. Zhang, H. Yao, W. Gao, and Q. Tian. GLAD: Global-Local-Alignment Descriptor for Pedestrian Retrieval. ACM International Conference on Multimedia (ACM MM), 2017.[pdf]

[code]

H. Yao, S. Zhang, Y. Zhang, Q. Tian. One-Shot Fine-Grained Instance Retrieval. ACM International Conference on Multimedia (ACM MM), 2017.[pdf][dataset]

H. Yao, S. Zhang, D. Zhang, Y. Zhang, J. Li, Y. Wang, Q. Tian. Large-Scale Person Re-Identification as Retrieval. IEEE International Conference on Multimedia and Expo (ICME), 2017.[pdf]

2016
  1. H. Yao, S. Zhang, Y. Zhang, J. Li, and Q. Tian. Coarse-to-fine description for fine-grained visual categorization. IEEE Trans. on Image Processing(TIP), 25(10): 4858-4872, 2016. [pdf]
  2. C. Su, S. Zhang, J. Xing, W. Gao, and Qi Tian. Deep attributes driven multi-camera person re-identification. European Conference on Computer Vision (ECCV), 2016.[pdf]
  3. S. Zhang, S. Zhang, T. Huang, and W. Gao. Multimodal Deep convolutional neural network for audio-visual emotion recognition. ACM International Conference on Multimedia Retrieval (ICMR), 2016.[pdf]
2015
  1. S. Zhang, Q. Huang, Q. Tian, and W. Gao. Large-scale Image Search - From the Perspective of Local Descriptor, SpringerBriefs, Springer, Under Editing, 2015.
  2. S. Zhang, X. Wang, Y. Lin, and Q. Tian. Cross indexing with grouplets. IEEE Transactions on Multimedia (T-MM), 2015.[pdf]
  3. S. Zhang, M. Yang, X. Wang, Y. Lin, and Q. Tian. Semantic-aware co-indexing for image search. IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2015.[pdf]
  4. S. Zhang, Q. Tian, Q. Huang, Y. Rui, and W. Gao. Multi-order visual phrase for scalable partial-duplicate visual search. Multimedia System Journal (MMSJ), 2015.[pdf]
  5. 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 (T-IP), 2015.[pdf]
  6. S. Zhang. Efficient indexing for large-scale image search. ACM International Conference on International Conference on Internet Multimedia Computing and Service (ICIMCS) 2015.[pdf]
  7. C. Su, F. Yang, S. Zhang, Q. Tian, L. Davis, W. Gao. Multi-Task Learning with Low Rank Attribute Embedding for Person Re-identification, IEEE International Conference on Computer Vision(ICCV), 2015.[pdf]
  8. H. Yao, S. Zhang, F. Xie, Y. Zhang, D. Zhang, Y. Su, Q. Tian. Orientational Spatial Part Modeling for Fine-Grained Visual Categorization. IEEE International Conference on Mobile Service 2015.[pdf]
  9. Y. Zhou, D. Zeng, S. Zhang, and Q. Tian. Augmented feature fusion for image retrieval system. ACM International Conference on Multimedia Retrieval (ICMR), 2015.[pdf]
2014
  1. S. Zhang, Q. Tian, Q. Huang, Y. Rui, and W. Gao. USB: ultra short binary descriptor for fast image matching and retrieval. Accepted, IEEE Transactions on Image Processing (T-IP), 2014.[pdf]
  2. S. Zhang, Q. Tian, Q. Huang, Y. Rui, and W. Gao. Cascade category-aware visual search. IEEE Transactions on Image Processing (T-IP), Volume 23, Issue 6, pp. 2514-2527,2014.[pdf]
  3. 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), 2014.[pdf]
  4. S. Zhang, Q. Tian, G. Hua, Q. Huang, S. Jiang, and W. Gao. ObjectPatchNet: Towards scalable and semantic image annotation and retrieval. Computer Vision and Image Understanding (CVIU), Volume 118, pp. 16-29, January, 2014.[pdf]
  5. Q. Luo, S. Zhang, T. Huang, W. Gao, and Q. Tian. Indexing heterogeneous features with superimages. International Journal of Multimedia Information Retrieval (IJMIR), 2014.[pdf]
  6. Q. Luo#, S. Zhang#((#: equal contribution), T. Huang, W. Gao, and Q. Tian. Superimage: packing semantic-relevant images for indexing and retrieval. Oral paper (acceptance rate: 19%, 21/110), ACM International Conference on Multimedia Retrieval (ICMR), 2014.[pdf]
  7. 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), 2014. [pdf]
  8. Z. Niu, S. Zhang, X. Gao, and Q. Tian. Personalized visual vocabulary adaption for social image applications. Short paper (acceptance rate: 30%) ACM International Conference on Multimedia (ACM MM), 2014. [pdf]
2013
  1. S. Zhang, Q. Tian, Q. Huang, and W, Gao. Edge-SIFT: Discriminative binary descriptor for scalable partial-duplicate mobile search. IEEE Transactions on Image Processing (T-IP), Volume 22, Issue 7, pp. 2889-2902, July, 2013.[pdf]
  2. S. Zhang, M. Yang, X. Wang, Y. Lin, and Q. Tian. Semantic-aware co-indexing for image search. IEEE International Conference on Computer Vision (ICCV), 2013.[pdf]
  3. S. Zhang, Q. Tian, Q. Huang, W. Gao, and Y. Rui. Multi-order visual phrase for scalable image search. Oral paper, ACM International Conference on International Conference on Internet Multimedia Computing and Service (ICIMCS), 2013.[pdf]
  4. Q. Luo#, S. Zhang#((#: equal contribution), Q. Tian, T. Huang, and W. Gao. Scalable mobile search with binary phrases. Oral paper, ACM International Conference on International Conference on Internet Multimedia Computing and Service (ICIMCS), 2013.[pdf]
  5. J. Cai, Z. Zha, H. Luan, S. Zhang, and Q. Tian. Learning Attribute-aware Dictionary for Image Classification and Search. Oral paper, ACM International Conference on Multimedia Retrieval (ICMR), 2013.[pdf]
Before 2012
  1. 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 (T-IP), Volume 20, Issue 9, pp. 2664-2677, September, 2011.[pdf]
  2. Y. Cui, S. Luo, Q. Tian, S. Zhang, Y. Peng, L. Jiang, and J. Jin. Mutual information-based emotion recognition, Pacific-Rim Conference on Multimedia (PCM), 2011.[pdf]
  3. Y. Cui, J. Jin, S. Zhang, S. Luo, and Q. Tian. Music video affective understanding using feature importance analysis. ACM International Conference on Image and Video Retrieval (ACM CIVR), pp. 213-219, 2010.[pdf]
  4. Y. Cui, J. Jin, S. Zhang, S. Luo, Q. Tian. Correlation-based feature selection and regression. Pacific-Rim Conference on Multimedia (PCM), pp. 25-35, 2010.[pdf]
  5. S. Zhang, Q. Huang, S. Jiang, W. Gao, and Q. Tian. Affective visualization and retrieval for music video. IEEE Transactions on Multimedia (T-MM),Volume 12, Issue 6, pp. 510-522, October, 2010.[pdf]
  6. S. Zhang, Q. Tian, G. Hua, W. Zhou, Q. Huang, and W. Gao. Modeling spatial and semantic cues for large-scale near-duplicated image retrieval. Computer Vision and Image Understanding (CVIU), Volume 115, Issue 3, pp. 403-414, March, 2010.[pdf]
  7. 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 (IJMTA),Volume 51, Issue 2, pp. 441-477, November, 2010.[pdf]
  8. S. Zhang, Q. Tian, Q. Huang, and W. Gao. Objectbook construction for large-scale semantic-aware image retrieval, Oral paper and top 10% paper award, IEEE International Workshop on Multimedia Signal Processing (IEEE MMSP), 2011.[pdf]
  9. S. Zhang, Q. Huang, G. Hua, S. Jiang, W. Gao, and Q. Tian, Building contextual visual vocabulary for large-scale image applications, Full paper and best paper candidate in content track, ACM International Conference on Multimedia (ACM MM), pp. 501-510, October, 2010.[pdf]
  10. S. Zhang, Q. Huang, Y. Lu, W. Gao, and Q. Tian. Building pair-wise visual word tree for efficient image re-ranking. Oral paper, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 794-797, March, 2010.[pdf]
  11. S. Zhang, Q. Tian, G. Hua, Q. Huang, and S. Li. Descriptive visual words and visual phrases for image applications. Full paper, ACM International Conference on Multimedia (ACM MM), pp. 75-84, October, 2009.[pdf]
  12. S. Zhang, Q. Tian, Q. Huang, W. Gao, and S. Li. Utilizing affective analysis for efficient movie browsing. IEEE International Conference on Image Processing (ICIP), pp. 1853-1856, November, 2009.[pdf]
  13. S. Zhang, Q. Huang, Q. Tian, S. Jiang, and W. Gao. Personalized MTV affective analysis using user profile. Oral paper, Pacific-Rim Conference on Multimedia (PCM), pp. 327-337, 2008.[pdf]
  14. S. Zhang, Q. Huang, Q. Tian, S. Jiang, and W. Gao. i.MTV-an integrated system for MTV affective analysis. Technical demonstration, ACM International Conference on Multimedia (ACM MM), pp. 985-986, October, 2008.[pdf]
  15. S. Zhang, Q. Tian, S. Jiang, Q. Huang, and W. Gao. Affective MTV analysis based on arousal and valence features. IEEE International Conference on Multimedia and Expo (ICME), pp. 1369-1372, June, 2008.[pdf]