Location:
Visual Modeling
Leader: Hong Chang (Associate Professor)
Email: changhong [at] ict.ac.cn
Introduction of research group

Visual Modeling (VISMOD) group focuses on research of innovative machine learning methodologies and technologies to solve real-world computer vision problems including image/video representation, understanding, prediction and enhancement, as well as object (especially human) detection, tracking, recognition and retrieval, oriented to next-generation intelligent video surveillance.

During the past several years, VISMOD group has published many papers in related conferences and journals. Recently, the group members have achieved the 1stplace in ECCV’2018 Pedestrian Detection Challenge, and the Best Paper Award in ICME’2018.


Research

The current main research topics include:

●  Models and algorithms in machine learning, especially

1)    Metric learning

2)    Few-shot learning, meta learning

3)    Unsupervised/Semi-supervised/Weakly supervised learning

4)    Deep learning


●  Object detection, tracking and recognition

1)    Person re-identification 

2)   Object (especially human) detection

3)    Single/Multiple object tracking   


●  Image/video representation learning

1)    Attribute learning

2)    Visual relationship detection

3)    Combinatorial semantic learning


●  Image/video generation and enhancement

1)    Image generation 

2)    Video prediction

3)    Image/video super-resolution


Papers

Journal Papers

  • Fengling Mao, Bingpeng Ma, Hong Chang, Shiguang Shan and Xilin Chen. Learning Efficient Text to Image Synthesis via Interstage Cross-sample Similarity Distillation. SCIENCE CHINA Information Sciences, 64(2): 120102:1-120102:12, 2021.
  • Shutao Bai, Bingpeng Ma, Hong Chang, Rui Huang, Shiguang Shan and Xilin Chen. SANet: Statistic Attention Network for Person Re-Identification. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021. (Accepted)
  • Ruibing Hou, Bingpeng Ma, Hong Chang, Xinqian Gu, Shiguang Shan and Xilin Chen. IAUnet: Global Context-Aware Feature Learning for Person Re-Identification. IEEE Trans. on Neural Networks and Learning Systems (TNNLS), 32(10):4460-4474, 2021.
  • Xiangzhou Zhang, Bingpeng Ma, Hong Chang, Shiguang Shan and Xilin Chen. Location Sensitive Network for Human Instance Segmentation. IEEE Transactions on Image Processing (TIP), 30:7649-7662, 2021.
  • Yucheng Chen, Rui Huang, Hong Chang, Chuanqi Tan, Tao Xue and Bingpeng Ma. Cross-Modal Knowledge Adaptation for Language-Based Person Search. IEEE Transactions on Image Processing (TIP), 30:4057-4069, 2021.
  • Furong Xu, Bingpeng Ma, Hong Chang and Shiguang Shan. PRDP: Person Re-identification with Dirty and Poor Data. IEEE Transactions on Cybernetics, 2021. (Accepted)
  • Xiaoyi Yin, Zhen Cui, Hong Chang, Bingpeng Ma and Shiguang Shan. Extending Generalized Unsupervised Manifold Alignment. SCIENCE CHINA Information Sciences, 2021. (Accepted)
  • Ruibing Hou, Bingpeng Ma, Hong Chang, Xinqian Gu, Shiguang Shan and Xilin Chen. Feature Completion for Occluded Person Re-Identification. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021. (Accepted)
  • Cheng Wang, Bingpeng Ma, Hong Chang, Shiguang Shan and Xilin Chen. Person Search by a Bi-directional Task-Consistent Learning Model. IEEE Transactions on Multimedia (TMM), 2021. (Accepted)
  • Furong Xu, Bingpeng Ma, Hong Chang and Shiguang Shan. "Isosceles Constraints for Person Re-identification." IEEE Trans. on Image Processing, vol. 29, no. 11, pp. 8930-8943, November 2020.
  • Wei Zheng, Luhong Liang,Hong Chang, Cher-Keng Heng, Shiguang Shan, Xilin Chen, “Boosted Translation-Tolerable Classifiers for Fast Object Detection. Image and Vision Computing,” Image and Vision Computing, vol.30, no.8, pp.480-491,Aug.2012.
  • Bingpeng Ma, Xiujuan Chai, Tianjiang Wang, \"A Novel Feature Descriptor Based on Biologically Inspired Feature for Head Pose Estimation,\" Neurocomputing, vol. 115, pp. 1-10, 2013.
  • Bingpeng Ma, Yu Su, Frederic Jurie, \"Covariance Descriptor Based on Bio-Inspired Features for Person Re-Identification and Face Verification,\" Image and Vision Computing, vol. 32, no. 6-7, pp. 379-390, 2014.
  • Zhen Cui, Hong Chang, Shiguang Shan, Bingpeng Ma, \"Joint Sparse Representation for Video-Based face Recognition,\" Neurocomputing, 2014.
  • Hao Liu, Bingpeng Ma, Lei Qin, Junbiao Pang, Chunjie Zhang, Qingming Huang, \"Set-Label Modeling and Deep Metric Learning on Person Re-Identification,\" Neurocomputing, vol. 151, no. 3, pp. 1283-1292, 2015.
  • Wei Zheng, Hong Chang, Luhong Liang, Haoyu Ren, Shiguang Shan, Xilin Chen, “Strip Features for Fast Object Detection,” IEEE Transactions on Systems, Man and Cybernetics, Part B: Cybernetics, vol.43, no.6, pp.1898-1912,Dec.2013.
  • Kongming Liang, Hong Chang, Shiguang Shan, Xilin Chen, "Visual Concept Conjunction Learning with Recurrent Neural Networks," Neurocomputing, Vol. 395, PP. 229-236, June 2020.
  • Kongming Liang, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen, \"Unifying Visual Attribute Learning with Object Recognition in a Multiplicative Framework,\" IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI), 41(7):1747 - 1760, 2019.
  • Deming Zhai, Hong Chang, Shiguang Shan, Xilin Chen, Wen Gao, \"Multi-View Metric Learning with Global Consistency and Local Smoothness,\" ACM Transactions on Intelligent Systems and Technology, Volume 3 Issue 3, May 2012.
  • Yucheng Chen, Bingpeng Ma and Hong Chang, "Part Alignment Network for Vehicle Re-identification," Neurocomputing, vol. 418, no. 12, pp. 114-125, December 2020.

Conference Papers

  • Xinqian Gu, Hong Chang, Bingpeng Ma, Hongkai Zhang, Xilin Chen, "Appearance-Preserving 3D Convolution for Video-based Person Re-identification," Proceedings of the 16th European Conference on Computer Vision (ECCV), LNCS 12347, Vol.2, pp.228-243, Glasgow, UK / Cyberspace, August 23-28, 2020.
  • Ruibing Hou, Hong Chang, Bingpeng Ma, Rui Huang and Shiguang Shan. BiCnet-TKS: Learning Efficient Spatial-Temporal Representation for Video Person Re-Identification. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2014–2023, Virtual Event, Jun. 19-25, 2021.
  • Hongkai Zhang, Hong Chang, Bingpeng Ma, Shiguang Shan and Xilin Chen, \"Cascade RetinaNet: Maintaining Consistency for Single-Stage Object Detection,\" British Machine Vision Conference (BMVC), Cardiff, UK, September, 9-12, 2019.
  • RuiBing Hou, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen, "Temporal Complementary Learning for Video Person Re-Identification," Proceedings of the 16th European Conference on Computer Vision (ECCV), LNCS 12370, Vol.25, pp.388-405, Glasgow, UK / Cyberspace, August 23-28, 2020.
  • Fangyi Zhang, Bingpeng Ma, Hong Chang, Shiguang Shan and Xilin Chen, \"Relation-aware Multiple Attention Siamese Networks for Robust Visual Tracking,\" British Machine Vision Conference (BMVC), Cardiff, UK, September, 9-12, 2019.
  • Xiaoyi Yin, Xinqian Gu, Hong Chang, Bingpeng Ma and Xilin Chen, \"Attribute-aware Pedestrian Image Editing,\" International Conference on Image and Graphics (ICIG), August 2019.
  • Fengling Mao, Bingpeng Ma, Hong Chang, Shiguang Shan and Xilin Chen, \"MS-GAN: Text to Image Synthesis with Attention-Modulated Generators and Similarity-aware Discriminators,\" British Machine Vision Conference (BMVC), Cardiff, UK, September, 9-12, 2019.
  • Ruibing Hou, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen, \"Cross Attention Network for Few-shot Classification,\"The Thirty-third Annual Conference on Neural Information Processing Systems (NeurIPS), pp.4005-4016, Vancouver, Canada, Dec. 8-14, 2019.
  • Cheng Wang, Bingpeng Ma, Hong Chang, Shiguang Shan, Xilin Chen, \"TCTS: A Task-Consistent Two-stage Framework for Person Search,\" IEEE Conference on Computer Vision and Pattern Recognition(CVPR 2020), pp. 11952-11961, 2020.
  • Hongkai Zhang, Hong Chang, Bingpeng Ma, Naiyan Wang, Xilin Chen, "Dynamic R-CNN: Towards High Quality Object Detection via Dynamic Training," Proceedings of the 16th European Conference on Computer Vision (ECCV), LNCS 12360, Vol.15, pp.260-275, Glasgow, UK / Cyberspace, August 23-28, 2020.
  • Liqiang Bao, Bingpeng Ma, Hong Chang, Xilin Chen, \"Preserving Structural Relationships for Person Re-identification,\" International Workshop conjunction with IEEE International Conference on Multimedia and Expo(ICME), pp.120-125, July 2019.
  • Xiaqing Xu, Bingpeng Ma, Hong Chang, Xilin Chen, \"Siamese Recurrent Architecture for Visual Tracking,\" IEEE International Conference on Image Processing(ICIP2017), 2017.
  • Liqiang Bao, Bingpeng Ma, Hong Chang, Xilin Chen, \"Masked Graph Attention Network for Person Re-identification,\" International Workshop conjunction with IEEE Computer Vision and Pattern Recognition(CVPR), Long Beach, California, USA, June 2019.
  • Kongming Liang, Yuhong Guo, Hong Chang, Xilin Chen, \"Visual Relationship Detection with Deep Structural Ranking,\" AAAI Conference on Artificial Intelligence(AAAI2018), New Orleans, Louisiana, USA, 2018.
  • Fangyi Zhang, Bingpeng Ma, Hong Chang, Shiguang Shan and Xilin Chen, \"Relation-aware Multiple Attention Siamese Networks for Robust Visual Tracking,\" British Machine Vision Conference (BMVC), Cardiff, UK, September, 9-12, 2019.
  • Shen Li, Bingpeng Ma, Hong Chang, Shiguang Shan, Xilin Chen, \"Continuity-Discrimination Convolutional Neural Network for Visual Object Tracking,\" IEEE International Conference on Multimedia and Expo, San Diego, USA, July 23-27,2018.
  • Ruibing Hou, Hong Chang, Bingpeng Ma and Xilin Chen, \"Video Prediction with Bidirectional Constraint Network,\" 14th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2019), pp. 1-8, Lille, France, May 14-18, 2019.
  • Furong Xu, Bingpeng Ma, Hong Chang, Shiguang Shan, Xilin Chen, \"Style Transfer with Adversarial Learning for Cross-Dataset Person Re-identification,\" Asian Conference on Computer Vision 2018(ACCV2018), 2-6 Dec. 2018, Perth Western Australia.
  • Ruibing Hou, Bingpeng Ma, Hong Chang, Xinqian Gu, Shiguang Shan, Xilin Chen, “Interaction-and-Aggregation Network for Person Re-identification,” IEEE Conference on Computer Vision and Pattern Recognition, pp.9317-9326, Long Beach, California, USA, June 16-20, 2019.
  • Ruibing Hou, Bingpeng Ma, Hong Chang, Xinqian Gu, Shiguang Shan, Xilin Chen, “VRSTC: Occlusion-Free Video Person Re-Identification,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.7183-7192, Long Beach, California, USA, June 16-20, 2019.