智能感知与计算研究中心

1. Huimin Wang, Jiaxiang Wang, Aihua Zheng, Huaibo Huang, Ran He, Amir Hussaine, “Diverse Features Discovery Transformer for Pedestrian Attribute Recognition," Engineering Applications of Artificial Intelligence, vol. 119, pp. 105708, 2022.
2. Shangze Li, Andong Lu, Yan Huang, Chenglong Li and Liang Wang, “Joint Token and Feature Alignment Framework for Text-Based Person Search," IEEE Signal Processing Letters, vol. 29, pp. 2238 - 2242, 2022.
3. Bo Peng, Hongxing Fan, Wei Wang, Jing Dong, SiweiLyu, “A Unified Framework for High Fidelity Face Swap and Expression Reenactment," IEEE Trans. on Circuits and Systems for Video Technology, vol. 32, no. 6, pp. 3673-3684, 2022.
4. Hongchao Li, Xianmin Lin, Aihua Zheng, Chenglong Li, Bin Luo, Ran He, Amir Hussain, “Attributes Guided Feature Learning for Vehicle Re-Identification," IEEE Trans. on Emerging Topics in Computational Intelligence, vol. 6, no. 5, pp. 1211 - 1221, 2022.
5. Linjiang Huang, Liang Wang and Hongsheng Li, “Multi-Modality Self-Distillation for Weakly Supervised Temporal Action Localization," IEEE Trans. on Image Processing, vol. 31, pp. 1504 - 1519, 2022.
6. Jianhua Yang, Yan Huang, Kai Niu, Linjiang Huang, Zhanyu Ma, Liang Wang, “Actor and action modular network for text-based video segmentation," IEEE Trans. on Image Processing, vol. 31, pp. 4474-4489, 2022.
7. Yi-Fan Zhang; Zhang Zhang; Da Li; Zhen Jia; Liang Wang; Tieniu Tan, “Learning Domain Invariant Representations for Generalizable Person Re-Identification," IEEE Trans. on Image Processing, vol. 32, pp. 509 - 523, 2022.
8. Boqiang Xu, Lingxiao He, Jian Liang and Zhenan Sun, “Learning Feature Recovery Transformer for Occluded Person Re-identification," IEEE Trans. on Image Processing, no. 31, pp. 4651-4662, 2022.
9. Mengmeng Cui, Wei Wang, Kunbo Zhang, Zhenan Sun, Liang Wang, “Pose-Appearance Relational Modeling for Video Action Recognition," IEEE Transactions on Image Processing, vol. 32, pp. 295 - 308, 2022.
10. Yi-Fan Zhang, Zhang Zhang, Da Li, Zhen Jia, Liang Wang, Tieniu Tan, “Learning Domain Invariant Representations for Generalizable Person Re-Identification,," IEEE Trans. on Image Processing, vol. 32, pp. 509 - 523, 2022.
11. Muyi Sun, Jian Wang, Jian Liu, Jianshu Li, Tao Chen and Zhenan Sun, “A Unified Framework for Biphasic Facial Age Translation with Noisy-Semantic Guided Generative Adversarial Networks," IEEE Trans. on Information Forensics and Security, vol. 17, pp. 1513-1527, 2022.
12. Linsen Song, Wayne Wu, Chen Qian, Ran He, Change Loy Chen., “Everybody's Talkin': Let Me Talk as You Want," IEEE Trans. on Information Forensics and Security, vol. 17, pp. 585-598, 2022.
13. Jianze Wei, Huaibohuang, Yunlong Wang, Ran He, Zhenan Sun, “Towards More Discriminative and Robust Iris Recognition by Learning Uncertain Factors," IEEE Trans. on Information Forensics and Security, vol. 17, pp. 865-879, 2022.
14. Ziming Yang, Jian Liang, Chaoyou Fu, Mandi Luo, and Xiao-Yu Zhang, “Heterogeneous Face Recognition via Face Synthesis with Identity-Attribute Disentanglement," IEEE Trans. on Information Forensics and Security, vol. 17, pp. 1344-1358, 2022.
15. Mandi Luo, Haoxue Wu, Huaibo Huang, Weizan He, Ran He, “Memory-Modulated Transformer Network for Heterogeneous Face Recognition," IEEE Trans. on Information Forensics and Security, vol. 17, pp. 2095-2109, 2022.
16. Min Ren, Yuhao Zhu, Yunlong Wang, Zhenan Sun, “Perturbation Inactivation Based Adversarial Defense for Face Recognition," IEEE Trans. on Information Forensics and Security, no. 17, pp. 2947-2962, 2022.
17. Jianze Wei, Yunlong Wang, Huaibo Huang, Ran He, Zhenan Sun, Xingyu Gao, “Contextual Measures for Iris Recognition," IEEE Trans. on Information Forensics and Security, vol. 18, pp. 57-70, 2022.
18. Mengqi Zhang, Shu Wu, Meng Gao, Xin Jiang, Ke Xu, Liang Wang, “Personalized Graph Neural Networks With Attention Mechanism for Session-Aware Recommendation," IEEE Trans. on Knowledge and Data Engineering, vol. 34, no. 8, pp. 3946 - 3957, 2022.
19. Chaoyou Fu, Xiang Wu, Yibo Hu, Huaibo Huang and Ran He, “DVG-Face: Dual Variational Generation for Heterogeneous Face Recognition," IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 44, no. 6, pp. 2938-2952, 2022.
20. Hongwen Zhang, Jie Cao, Guo Lu, Wanli Ouyang, Zhenan Sun, “Learning 3D Human Shape and Pose From Dense Body Parts," IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 44, no. 5, pp. 2610-2627, 2022.
21. Yan Huang, Jingdong Wang, and Liang Wang, “Few-Shot Image and Sentence Matching via Aligned Cross-Modal Memory," IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 44, no. 6, pp. 2968-2983, 2022.
22. Jian Liang, Dapeng Hu, Yunbo Wang, Ran He and Jiashi Feng, “Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer," IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 44, no. 11, pp. 8602-8617, 2022.
23. Linjiang Huang, Yan Huang, Wanli Ouyang and Liang Wang, “Two-Branch Relational Prototypical Network for Weakly Supervised Temporal Action Localization," IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 44, pp. 5729 - 5746, 2022.
24. Si Liu, Wentao Jiang, Chen Gao, Ran He*, Jiashi Feng, Bo Li, Shuicheng Yan, “PSGAN++: Robust Detail-Preserving Makeup Transfer and Removal," IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 44, no. 11, pp. 8538-8551, 2022.
25. Zhengquan Luo, Yunlong Wang, Nianfeng Liu, Zilei Wang, “Combining 2D Texture and 3D Geometry Features for Reliable Iris Presentation Attack Detection using Light Field Focal Stack," IET Biometrics, 2022.
26. Zerui Chen, Yan Huang, Hongyuan Yu, Liang Wang, “Learning a Robust Part-Aware Monocular 3D Human Pose Estimator via Neural Architecture Search," International Journal of Computer Vision, vol. 130, no. 1, pp. 56-75, 2022.
27. Zhaoxiang Zhang, Cong Pan and Junran Peng, “Delving into the Effectiveness of Receptive Fields: Learning Scale-Transferrable Architectures for Practical Object Detection," International Journal of Computer Vision, vol. 130, pp. 970-989, 2022.
28. Zhaoxiang Zhang, Chuanchen Luo, Haiping Wu, Yuntao Chen, Naiyan Wang &Chunfeng Song, “From Individual to Whole: Reducing Intra-class Variance by Feature Aggregation," International Journal of Computer Vision, vol. 130, pp. pages800–819, 2022.
29. Tianhao Lu, Caiyong Wang, Yunlong Wang, Zhenan Sun, “Multitask deep active contour-based iris segmentation for off-angle iris images," Journal of Electronic Imaging (JEI), vol. 31, no. 4, 2022.
30. Min Ren, Yunlong Wang, Zhaofeng He, “Towards Interpretable Defense against Adversarial Attacks via Causal Inference," Machine Intelligence Research, vol. 19, no. 3, pp. 209-226, 2022.
31. Yi-Fan Zhang, Weiqiang Ren, Zhang Zhang, Zhen Jia, Liang Wang, Tieniu Tan, “Focal and Efficient IOU Loss for Accurate Bounding Box Regression," Neurocomputing, vol. 506, pp. 146-157, 2022.
32. Yi-Fan Zhang, Weiqiang Ren, Zhang Zhang, Zhen Jia, Liang Wang, Tieniu Tan, “Focal and Efficient IOU Loss for Accurate Bounding Box Regression,," Neurocomputing, vol. 506, pp. 146-157, 2022.
33. Junran Peng, Haoquan Wang, Shaolong Yue, Zhaoxiang Zhang, “Context-aware co-supervision for accurate object detection," Pattern Recognition, vol. 121, pp. 108199, 2022.
34. Chaoyou Fu, Guoli Wang, Xiang Wu, Qian Zhang, and Ran He, “Deep momentum uncertainty hashing.," Pattern Recognition, vol. 122, pp. 108264, 2022.
35. Junchi Yu, Tingyang Xu, Yu Rong, Junzhou Huang, Ran He, “Structure-aware conditional variational auto-encoder for constrained molecule optimization," Pattern Recognition, 2022.
36. He Guan, Chunfeng Song, Zhaoxiang Zhang and Tieniu Tan, “MonoPoly: A practical monocular 3D object detector," Pattern Recognition, vol. 132, pp. 108967, 2022.
37. Wenkai Dong, Zhaoxiang Zhang, Chunfeng Song, Tieniu Tan, “Identifying the key frames: An attention-aware sampling method for action recognition," Pattern Recognition, vol. 130, pp. 108797, 2022.
38. Ziwen He, Wei Wang, Jing Dong, Tieniu Tan, “Temporal sparse adversarial attack on sequence-based gait recognition," Pattern Recognition, vol. 133, pp. 109028, 2022.
39. Chaoyou Fu, Guoli Wang, Xiang Wu, Qian Zhang and Ran He, “Deep Momentum Uncertainty Hashing," Pattern Recognition, vol. 122, pp. 108264, 2022.
40. Zhenyu Liu, Zhang Zhang, Da Li, Peng Zhang, Caifeng Shan, “Dual-branch self-attention network for pedestrian attribute recognition," Pattern Recognition Letters, vol. 163, pp. 112-120, 2022.
41. Ziwen He, Wei Wang, Jing Dong, Tieniu Tan, “Revisiting ensemble adversarial attack," Signal Processing: Image Communication, vol. 107, pp. 116747, 2022.
42. Matej Vitek, Abhijit Das, Diego Rafael Lucio, Luiz Antonio Zanlorensi, David Menotti, Jalil NourmohammadiKhiarak, Mohsen Akbari Shahpar, MeysamAsgari-Chenaghlu, FarhangJaryani, Juan E. Tapia, Andres Valenzuela, Caiyong Wang, Yunlong Wang, Zhaofeng He, Zhenan Sun,et al., “Exploring Bias in Sclera Segmentation Models: A Group Evaluation Approach," IEEE Trans. on Information Forensics and Security, vol. 18, pp. 190-205, 2022.

1. Ke Han, Chenyang Si, Yan Huang, Liang Wang, Tieniu Tan, “Generalizable Person Re-Identification via Self-Supervised Batch Norm Test-Time Adaption,” Prof. AAAI Conference on Artificial Intelligence, February 2022, Virtual.
2. Zi Wang, Chenglong Li, Aihua Zheng, Ran He, Jin Tang, “Interact, Embed, and EnlargE: Boosting Modality-Specific Representations for Multi-Modal Person Re-identification,” Prof. AAAI Conference on Artificial Intelligence, pp. 2633-2641, February 2022, Vancouver, Canada.
3. Weizhi Xu, Junfei Wu, Qiang Liu, Shu Wu, Liang Wang, “Evidence-aware Fake News Detection with Graph Neural Networks,” Prof. the ACM Web Conference, pp. 2501-2510, April 2022, Lyon, France.
4. Qu Tang, Xiangyu Zhu, Zhen Lei, Zhaoxiang Zhang, “Object Dynamics Distillation For Scene Decomposition and Representation,” Prof. International Conference on Learning Representations, April 2022, Virtual.
5. Yanqiao Zhu, Yichen Xu, Hejie Cui, Carl Yang, Qiang Liu, Shu Wu, “Structure-Enhanced Heterogeneous Graph Contrastive Learning,” Prof. SIAM International Conference on Data Mining (SDM 2022), pp. 82-90, April 2022, Virtual.
6. Junchi Yu, Jie Cao, Ran He, “Improving Subgraph Recognition with Variational Graph Information Bottleneck,” Prof. IEEE Conference on Computer Vision and Pattern Recognition, June 2022, New Orlean, USA.
7. Weikuo Guo, Huaibo Huang, Xiangwei Kong, Ran He, “Fine-Grained Cross-Modal Retrieval with Triple-Streamed Memory Fusion Transformer Encoder,” Prof. IEEE International Conference on Multimedia and Expo (ICME), pp. 1-6, June 2022, Taipei, Taiwan.
8. Jianxin Sun, Qiyao Deng, Qi Li, Muyi Sun, Min Ren, Zhenan Sun., “Anyface: Free-style Text-to-face Synthesis and Manipulation,” Prof. IEEE Conference on Computer Vision and Pattern Recognition, June 2022, New Orleans, USA.
9. Xin Xie, Yi Li, Huaibo Huang, Haiyan Fu, Wanwan Wang, Yanqing Guo, “Artistic Style Discovery With Independent Components,” Prof. IEEE Conference on Computer Vision and Pattern Recognition, pp. 19870-19879, June 2022, New Orleans, USA.
10. Jian Liang, Dapeng Hu, Jiashi Feng, Ran He, “DINE: Domain Adaptation from Single and Multiple Black-box Predictors,” Prof. IEEE Conference on Computer Vision and Pattern Recognition, pp. 8003-8013, June 2022, New Orleans, USA.
11. Jiyang Guan, Zhuozhuo Tu, Ran He and Dacheng Tao, “Few-shot Backdoor Defense Using Shapley Estimation,” Prof. IEEE Conference on Computer Vision and Pattern Recognition, pp. 13358-13367, June 2022, New Orleans.
12. Chang Yu, Xiangyu Zhu, Xiaomei Zhang, Zidu Wang, Zhaoxiang Zhang, Zhen Lei, “HP-Capsule: Unsupervised Face Part Discovery by Hierarchical Parsing Capsule Network,” Prof. IEEE Conference on Computer Vision and Pattern Recognition, pp. 4022 - 4031, June 2022, New Orleans, USA.
13. Xinyu Zhang, Dongdong Li, Zhigang Wang, Jian Wang, Errui Ding, Javen Qinfeng Shi, Zhaoxiang Zhang, Jingdong Wang, “Implicit Sample Extension for Unsupervised Person Re-Identification,” Prof. IEEE Conference on Computer Vision and Pattern Recognition, pp. 7359 - 7368, June 2022, New Orleans, USA.
14. Yujun Shi, Kuangqi Zhou, Jian Liang, Zihang Jiang, Jiashi Feng, Philip Torr, Song Bai, and Vincent Y. F. Tan, “Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning,” Prof. IEEE Conference on Computer Vision and Pattern Recognition, pp. 16722-16731, June 2022, New Orleans, USA.
15. Wenjian Wang, Lijuan Duan, Yuxi Wang, Qing En, Junsong Fan, Zhaoxiang Zhang, “Remember the Difference: Cross-Domain Few-Shot Semantic Segmentation via Meta-Memory Transfer,” Prof. IEEE Conference on Computer Vision and Pattern Recognition, pp. 7055 - 7064, June 2022, New Orleans, USA.
16. Gengyun Jia, Huaibo Huang, Chaoyou Fu, Ran He, “Rethinking Image Cropping: Exploring Diverse Compositions from Global Views,” Prof. IEEE Conference on Computer Vision and Pattern Recognition, pp. 2446-2455, June 2022, New Orleans, USA.
17. Zengjie Song, Yuxi Wang, Junsong Fan, Tieniu Tan and Zhaoxiang Zhang, “Self-Supervised Predictive Learning: A Negative-Free Method for Sound Source Localization in Visual Scenes,” Prof. IEEE Conference on Computer Vision and Pattern Recognition, pp. 3222-3231, June 2022, New Orleans, USA.
18. Tianheng Cheng, Xinggang Wang, Shaoyu Chen, Wenqiang Zhang, Qian Zhang, Chang Huang, Zhaoxiang Zhang, Wenyu Liu, “Sparse Instance Activation for Real-Time Instance Segmentation,” Prof. IEEE Conference on Computer Vision and Pattern Recognition, pp. 4423 - 4432, June 2022, New Orleans, USA.
19. Jing Li, Junsong Fan, Zhaoxiang Zhang, “Towards Noiseless Object Contours for Weakly Supervised Semantic Segmentation,” Prof. IEEE Conference on Computer Vision and Pattern Recognition, pp. 16856-16865, June 2022, New Orleans, USA.
20. Ziwen He, Wei Wang, Jing Dong, Tieniu Tan, “Transferable Sparse Adversarial Attack,” Prof. IEEE Conference on Computer Vision and Pattern Recognition, pp. 14963-14972, June 2022, New Orleans, USA.
21. Zhengxiong Luo, Yan Huang,Shang Li, Liang Wang, and Tieniu Tan, “Learning the Degradation Distribution for Blind Image Super-Resolution,” Prof. IEEE Conference on Computer Vision and Pattern Recognition, pp. 6063-6074, June 2022, New Orleans, Louisiana, USA.
22. Qing Chang, Junran Peng, Jiajun Sun, LingxiXie, Haoran Yin, Qi Tian, Zhaoxiang Zhang, “DATA: Domain-Aware and Task-Aware Self-Supervised Learning,” Prof. IEEE Conference on Computer Vision and Pattern Recognition, pp. 9841-9850, June 2022, New Orleans, Louisiana, United States.
23. Renjie Zou, Chunfeng Song, Zhaoxiang Zhang*, “The Devil Is in the Details: Window-based Attention for Image Compression,” Prof. IEEE Conference on Computer Vision and Pattern Recognition, pp. 17492-17501, June 2022, New Orleans, Louisiana, USA.
24. Zijian Wang, Xingqun Qi, Kun Yuan and Muyi Sun, “Self-supervised Correlation Mining Network for Person Image Generation,” Prof. IEEE Conference on Computer Vision and Pattern Recognition, pp. 7703-7712, June 2022, New Orleans, USA.
25. Junfei Wu, Qiang Liu, Weizhi Xu, Shu Wu, “Bias Mitigation for Evidence-aware Fake News Detection by Causal Intervention,” Prof. ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), pp. 2308–2313, July 2022, Madrid,Spain.
26. Fenyu Hu, Liping Wang, Qiang Liu, Shu Wu, Liang Wang and Tieniu Tan, “GraphDIVE: Graph Classification by Mixture of Diverse Experts,” Prof. International Joint Conference on Artificial Intelligence, pp. 2080-2086, July 2022, Vienna, Austria.
27. Hongyuan Yu, Tian Li, Weichen Yu, Jianguo Li, Yan Huang, Liang Wang, and Alex Liu, “Regularized Graph Structure Learning with Semantic Knowledge for Multi-variates Time-Series Forecasting,” Prof. International Joint Conference on Artificial Intelligence , pp. pp. 2362-2368, 2022., July 2022, Vienna, Austria.
28. Dongdong Li, Zhigang Wang, Jian Wang, Xinyu Zhang, Errui Ding, Jingdong Wang, Zhaoxiang Zhang, “Self-Guided Hard Negative Generation for Unsupervised Person Re-Identification,” Prof. International Joint Conference on Artificial Intelligence, pp. 1067-1073, July 2022, Vienna, Austria.
29. Tianxiang Ma, Dongze Li, Wei Wang and Jing Dong, “AdaDeId: Adjust Your Identity Attribute Freely,” Prof. International Conference on Pattern Recognition, pp. 210-216, August 2022, Montreal, Canada.
30. Dongze Li, WenqiZhuo, Wei Wang and Jing Dong, “Contrastive Knowledge Transfer for Deepfake Detection with Limited Data,” Prof. International Conference on Pattern Recognition, pp. 1945-1951, August 2022, Montréal Québec, Canada.
31. Weinan Guan, Ziwen He, Wei Wang, Jing Dong and Bo Peng, “Defending Against Deepfakes with Ensemble Adversarial Perturbation,” Prof. International Conference on Pattern Recognition, pp. 1952-1958, August 2022, Montréal Québec, Canada.
32. Binghao Zhao, Tianxiang Ma, Bo Peng and Jing Dong, “DesignerGAN: Sketch Your Own Photo,” Prof. International Conference on Pattern Recognition, pp. 3216-3223, August 2022, Montreal, Canada.
33. Weinan Guan, Wei Wang, Jing Dong, Bo Peng and Tieniu Tan, “Robust Face-Swap Detection Based on 3D Facial Shape Information,” Prof. CAAI International Conference on Artificial Intelligence, pp. 404–415, August 2022, Beijing, China.
34. Fenyu Hu, Zeyu Cui, Shu Wu, Qiang Liu, Jinlin Wu, Liang Wang and Tieniu Tan, “Second-Order Global Attention Networks for Graph Classification and Regression,” Prof. CAAI International Conference on Artificial Intelligence, pp. 496-507, August 2022, Beijing, China.
35. Weinan Guan, Wei Wang, Jing Dong, Bo Peng and Tieniu Tan, “Collaborative Feature Learning for Fine-grained Facial Forgery Detection and Segmentation,” Prof. International Joint Conference on Biometrics, October 2022, Abu Dhabi, United Arab Emirates.
36. Kai Niu, Linjiang Huang, Yan Huang, Peng Wang, Liang Wang, and Yanning Zhang, “Cross-modal Co-occurrence Attributes Alignments for Person Search by Language,” Prof. ACM International Conference on Multimedia, pp. 4426–4434, October 2022, Lisboa, Portugal.
37. Ziwen He, Wei Wang, Weinan Guan, Jing Dong, Tieniu Tan, “Defeating DeepFakes via Adversarial Visual Reconstruction,” Prof. ACM International Conference on Multimedia, pp. 2464-2472, October 2022, Lisbon, Portugal.
38. Caiyong Wang, Tianhao Lu, Gaosheng Wu, Yunlong Wang, and Zhenan Sun, “D-ESRGAN: A Dual-Encoder GAN with Residual CNN and Vision Transformer for Iris Image Super-Resolution,” Prof. International Joint Conference on Biometrics, pp. 1-8, October 2022, Abu Dhabi, United Arab Emirates.
39. Bo Peng, Wei Xiang, Yue Jiang, Wei Wang, Jing Dong, Zhenan Sun, Zhen Lei, SiweiLyu, “DFGC 2022: The Second DeepFake Game Competition,” Prof. International Joint Conference on Biometrics, pp. 1-10, October 2022, Abu Dhabi, United Arab Emirates.
40. Ruitong Gan, Junsong Fan, Yuxi Wang, and Zhaoxiang Zhang*, “Interact with Open Scenes: A Life-long Evolution Framework for Interactive Segmentation Models,” Prof. ACM International Conference on Multimedia, October 2022, Lisbon, Portugal.
41. Mandi Luo, Jie Cao, and Ran He, “Order-Aware Human Interaction Manipulation,” Prof. ACM International Conference on Multimedia, pp. 2691-2699, October 2022, Lisbon, Portugal.
42. Yunlong Wang，Mupei Li，Zhengquan Luo，Zhenan Sun, “PDVN: A Patch-based Dual-view Network for Face Liveness Detection using Light Field Focal Stack,” Prof. International Joint Conference on Biometrics, October 2022, Abu Dhabi, United Arab Emirates.
43. Mengqi Zhang, Yanqiao Zhu, Qiang Liu, Shu Wu, Liang Wang, “Deep Contrastive Multiview Network Embedding,” Prof. ACM International Conference on Information and Knowledge Management, pp. 4692-4696, October 2022, Atlanta, Georgia, USA.
44. Wentaochen, Zhang Zhang, Wei Wang, Liang Wang, Zilei Wang, Tieniu Tan, “Cross-Domain Cross-Set Few-Shot Learning via Learning Compact and Aligned Representations,” Prof. European Conference on Computer Vision, pp. pp 383–399, October 2022, Tel Aviv, Israel.
45. Boqiang Xu, Jian Liang, Lingxiao He and Zhenan Sun, “Mimic Embedding via Adaptive Aggregation: Learning Generalizable Person Re-identification,” Prof. European Conference on Computer Vision, pp. 372-388, October 2022, Tel Aviv, Israel.
46. Lin Zhang, Xin Li, Dongliang He, Fu Li, Yili Wang and Zhaoxiang Zhang, “RRSR: Reciprocal Reference-based Image Super-Resolution with Progressive Feature Alignment and Selection,” Prof. European Conference on Computer Vision, pp. 648-664, October 2022, Tel Aviv, Israel.
47. Yi-Fan Zhang, Zhang Zhang, Baosheng Yu, Liang Wang, Dacheng Tao, Tieniu Tan, “Generalizable Person Re-identification Without Demographics,” Prof. Out Of Distribution Generalization in Computer Vision in conjunction with ECCV, October 2022, Virtual.
48. Yingyan Li, Yuntao Chen, Jiawei He and Zhaoxiang Zhang, “Densely Constrained Depth Estimator for Monocular 3D Object Detection,” Prof. European Conference on Computer Vision, October 2022, Tel Aviv, Israel.
49. Junsong Fan, Zhaoxiang Zhang and Tieniu Tan, “Pointly-Supervised Panoptic Segmentation,” Prof. European Conference on Computer Vision, pp. 319-336, October 2022, Tel Aviv, Israe.
50. Yi-Fan Zhang, Hanlin Zhang, Jindong Wang, Zhang Zhang, Baosheng Yu, Liang Wang, Dacheng Tao, Xing Xie, “Domain-Specific Risk Minimization,” Prof. European Conference on Computer Vision workshop on OOD, November 2022, Virtual.
51. Chenyu Liu, Jia Li, Junxian Duan, Huaibo Huang, “Video Forgery Detection Using Spatio-Temporal Dual Transformer,” Prof. International Conference on Computing and Pattern Recognition Proceedings (ICCPR), November 2022, Beijing, China.
52. Yuqi Wang, Yuntao Chen and Zhaoxiang Zhang, “4D Unsupervised Object Discovery,” Prof. Conference on Neural Information Processing Systems, December 2022, New Orleans, United States of America.
53. Huaibo Huang, Xiaoqiang Zhou, Ran He, “An Efficient Vision Transformer Backbone with Token Orthogonalization,” Prof. Conference on Neural Information Processing Systems (NIPS), November 2022, New Orleans, USA.
54. Jiyang Guan, Jian Liang and Ran He, “Are You Stealing My Model? Sample Correlation for Fingerprinting Deep Neural Networks,” Prof. Conference on Neural Information Processing Systems, December 2022, New Orleans, USA.
55. Yingtao Luo, Zhaocheng Liu and Qiang Liu, “Deep Stable Representation Learning on Electronic Health Records,” Prof. IEEE International Conference on Data Mining, November 2022, Orlando, USA.
56. Lue Fan, Feng Wang, Naiyan Wang, Zhaoxiang Zhang, “Fully Sparse 3D Object Detection,” Prof. Conference on Neural Information Processing Systems, December 2022, New Orleans, USA.
57. Yan Huang, Yuming Wang, Yunan Zeng, and Liang Wang, “MACK: Multimodal Aligned Conceptual Knowledge for Unpaired Image-text Matching,” Prof. Conference on Neural Information Processing Systems, November 2022, New Orleans, USA.
58. Zhixun Li, Dingshuo Chen, Qiang Liu and Shu Wu, “The Devil is in the Conflict: Disentangled Information Graph Neural Networks For Fraud Detection,” Prof. IEEE International Conference on Data Mining, pp. 1059-1064, December 2022, Orlando, USA.
59. Zhiyuan Cheng, Andong Lu, Zhang Zhang, Chenglong Li, and Liang Wang, “Fusion Tree Network for RGBT Tracking,” Prof. IEEE International Conference on Advanced Video and Signal Based Surveillance, December 2022, Madrid, Spain.
60. Haonan Xu, WenfangXue, “Spatial-Temporal Graph Neural Networks Fusing Multiple Data,” Prof. International Conference on Frontiers Technology of Information and Computer, December 2022, Qingdao, China.
61. Ke Han, Yan Huang, Shaogang Gong, Liang Wang, Tieniu Tan, “3D Shape Temporal Aggregation for Video-Based Clothing-Change Person Re-identification,” Prof. Asian Conference on Computer Vision, pp. 2371-2387, December 2022, Macau, China.
62. Puning Yang, Huaibo Huang, Zhiyong Wang, Aijing Yu, Ran He, “Calibrated Face Image Forgery Detection with Contrastive Representation Distillation,” Prof. Asian Conference on Computer Vision, pp. 39-55, December 2022, Macau SAR, China.
63. Yuwei Xia, Mengqi Zhang, Qiang Liu, Shu Wu, and Xiao-Yu Zhang, “MetaTKG: Learning Evolutionary Meta-Knowledge for Temporal Knowledge Graph Reasoning,” Prof. Conference on Empirical Methods in Natural Language Processing, pp. 7230-7240, October 2022, Abu Dhabi.
64. Yanqiao Zhu, Yuanqi Du, Yinkai Wang, Yichen Xu, Jieyu Zhang, Qiang Liu, Shu Wu, “A Survey on Deep Graph Generation: Methods and Applications,” Prof. Learning on Graphs Conference (LoG 2022), pp. 1-47, December 2022, Virtual.