1. Aihua Zheng, Huimin Wang, Jiaxiang Wang, Huaibo Huang, Ran He, Amir Hussaine, “Diverse Features Discovery Transformer for Pedestrian Attribute Recognition,” Engineering Applications of Artificial Intelligence, vol. 119, pp. 105708, 2023.
2. Chao Fan, Hongyuan Yu, Yan Huang, Caifeng Shan, Liang Wang, Chenglong Li, “SiamON: Siamese Occlusion-Aware Network for Visual Tracking,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 33, no. 1, pp. 186-199, 2023.
3. Linsen Song, Wayne Wu, Chaoyou Fu, Chen Change Loy, Senior Member, IEEE and Ran He, “Audio-driven Dubbing for User Generated Contents via Style-aware Semi-parametric Synthesis,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 33, no. 3, pp. 1247-1261, 2023.
4. Shuangqing Zhang, Chenglong Li, Zhen Jia, Lei Liu, Zhang Zhang, and Liang Wang., “Diag-IoU loss for object detection,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 33, no. 12, pp. 7671-7683, 2023.
5. Shubo Zhou , Liang Hu, Yunlong Wang, Zhenan Sun , Kunbo Zhang , Xueqin Jiang, “AIF-LFNet: All-in-Focus Light Field Super-Resolution Method Considering the Depth-Varying Defocus,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 33, no. 8, pp. 3976-3988, 2023.
6. Yunfan Liu, Qi Li, Qiyao Deng, Zhenan Sun, “Towards Spatially Disentangled Manipulation of Face Images With Pre-Trained StyleGANs,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 33, no. 4, pp. 1725-1739, 2023.
7. Chong Liu, Yuqi Zhang, Hongsong Wang, Weihua Chen, Fan Wang, Yan Huang, Yi-Dong Shen and Liang Wang, “Efficient Token-Guided Image-Text Retrieval With Consistent Multimodal Contrastive Training,” IEEE Transactions on Image Processing, vol. 32, pp. 3622-3633, 2023.
8. Jing Li, Junsong Fan, Yuxi Wang, Yuran Yang and Zhaoxiang Zhang, “Coarse Mask Guided Interactive Object Segmentation,” IEEE Transactions on Image Processing, vol. 32, pp. 5808-5822, 2023.
9. Kai Niu, Tao Huang, Linjiang Huang, Liang Wang, Yanning Zhang, “Improving Inconspicuous Attributes Modeling for Person Search by Language,” IEEE Transactions on Image Processing, vol. 32, pp. 3429-3441, 2023.
10. Wei Wang, Gaowei Zhang, Hongyong Han, Chi Zhang, “Correntropy-Induced Wasserstein GCN: Learning Graph Embedding via Domain Adaptation,” IEEE Transactions on Image Processing, vol. 32, pp. 3980-3993, 2023.
11. Yan Huang, Yan Huang, Zhang Zhang, Qiang Wu, Yi Zhong, Liang Wang, “Enhancing Person Re-Identification Performance through in vivo Learning,” IEEE Transactions on Image Processing, 2023.
12. Yi-Fan Zhang, Zhang Zhang, Da Li, Zhen Jia, Liang Wang, Tieniu Tan, “Learning Domain Invariant Representations for Generalizable Person Re-Identification,” IEEE Transactions on Image Processing, vol. 32, pp. 509-523, 2023.
13. Da Li, Zhang Zhang, Caifeng Shan and Liang Wang, “Incremental Pedestrian Attribute Recognition via Dual Uncertainty-Aware Pseudo-Labeling,” IEEE Transactions on Information Forensics and Security, vol. 18, pp. 2622-2636, 2023.
14. Jawad Muhammad, Caiyong Wang, Yunlong Wang, Kunbo Zhang, Zhenan Sun, “IrisGuideNet: Guided Localization and Segmentation Network for Unconstrained Iris Biometrics,” IEEE Transactions on Information Forensics and Security, vol. 18, pp. 2723-2736, 2023.
15. Jianze Wei, Yunlong Wang*, Huaibo Huang, Ran He, Zhenan Sun, Xingyu Gao*, “Contextual Measures for Iris Recognition,” IEEE Transactions on Information Forensics and Security, vol. 18, pp. 57-70, 2023.
16. Yang Wang, Yan Huang, Caifeng Shan and Liang Wang, “Progressive Sub-Domain Information Mining for Single-Source Generalizable Gait Recognition,” IEEE Transactions on Information Forensics and Security, vol. 18, pp. 4787-4799, 2023.
17. Yu Tian, Yalin Huang, Kunbo Zhang, Yue Liu and Zhenan Sun, “Polarized Image Translation From Nonpolarized Cameras for Multimodal Face Anti-Spoofing,” IEEE Transactions on Information Forensics and Security, vol. 18, pp. 5651-5664, 2023.
18. Yuhao Zhu, Min Ren, Hui Jing, Linlin Dai, Zhenan Sun, Ping Li, “Joint Holistic and Masked Face Recognition,” IEEE Transactions on Information Forensics and Security, vol. 18, pp. 3388-3400, 2023.
19. Ziming Yang, Jian Liang, Yuting Xu, Xiaoyu Zhang, and Ran He, “Masked Relation Learning for DeepFake Detection.,” IEEE Transactions on Information Forensics and Security, no. 18, pp. 1696-1708, 2023.
20. Jie Gui, Zhenan Sun, Yonggang Wen, Dacheng Tao, Jieping Ye, “A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications,” IEEE Transactions on Knowledge and Data Engineering, vol. 35, no. 4, pp. 3313-3332, 2023.
21. Jinghao Zhang, Yanqiao Zhu, Qiang Liu, Mengqi Zhang, Shu Wu and Liang Wang, “Latent Structure Mining With Contrastive Modality Fusion for Multimedia Recommendation,” IEEE Transactions on Knowledge and Data Engineering, vol. 35, no. 9, pp. 9154-9167, 2023.
22. Mengqi Zhang, Shu Wu, Xueli Yu, Qiang Liu and Liang Wang, “Dynamic Graph Neural Networks for Sequential Recommendation,” IEEE Transactions on Knowledge and Data Engineering, vol. 35, no. 5, pp. 4741-4753, 2023.
23. Qiang Liu, Yingtao Luo, Shu Wu, Zhen Zhang, Xiangnan Yue, Hong Jin and Liang Wang, “RMT-Net: Reject-aware Multi-Task Network for Modeling Missing-not-at-random Data in Financial Credit Scoring,” IEEE Transactions on Knowledge and Data Engineering, vol. 35, no. 7, pp. 7427-7439, 2023.
24. Wenxuan Zou, Xingqun Qi, Wanting Zhou, Muyi Sun, Zhenan Sun, Caifeng Shan, “Graph Flow: Cross-Layer Graph Flow Distillation for Dual Efficient Medical Image Segmentation,” IEEE Transactions on Medical Imaging, vol. 42, no. 4, pp. 1159-1171, 2023.
25. Qiyao Deng, Qi Li, Jie Cao, Yunfan Liu, Zhenan Sun, “Semantic-Aware Noise Driven Portrait Synthesis and Manipulation,” IEEE Transactions on Multimedia, vol. 25, pp. 2799-2811, 2023.
26. Wenlong Cheng, Wei Tang, Yan Huang, Yiwen Luo and Liang Wang, “A Reconstruction-Based Visual-Acoustic-Semantic Embedding Method for Speech-Image Retrieval,” IEEE Transactions on Multimedia, vol. 25, pp. 4067-4080, 2023.
27. Yuchun Fang, Sirui Cai, Yiting Cao , Zhengchen Li, Zhaoxiang Zhang, “Adversarial Learning Guided Task Relatedness Refinement for Multi-Task Deep Learning,” IEEE Transactions on Multimedia, vol. 25, pp. 6946-6957, 2023.
28. Gengyun Jia, Peipei Li, Ran He, “Theme-Aware Aesthetic Distribution Prediction With Full-Resolution Photographs,” IEEE Transactions on Neural Networks and Learning Systems, vol. 34, no. 11, pp. 8654-8668, 2023.
29. Chaoyou Fu, Xiaoqiang Zhou, Weizan He and Ran He, “Towards Lightweight Pixel-Wise Hallucination for Heterogeneous Face Recognition,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 45, no. 7, pp. 9135-9148, 2023.
30. Chuanchen Luo, Chunfeng Song, Zhaoxiang Zhang, “Learning to Adapt Across Dual Discrepancy for Cross-Domain Person Re-Identification,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 45, no. 2, pp. 1963-1980, 2023.
31. Chunfeng Song, Wanli Ouyang, Zhaoxiang Zhang, “Weakly Supervised Semantic Segmentation via Box-Driven Masking and Filling Rate Shifting,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 45, no. 12, pp. 15996-16012, 2023.
32. Chunfeng Song, Yongzhen Huang, Weining Wang, Liang Wang, “CASIA-E: A Large Comprehensive Dataset for Gait Recognition,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 45, no. 3, pp. 2801-2815, 2023.
33. Hongwen Zhang, Yating Tian, Yuxiang Zhang, Mengcheng Li, Liang An, Zhenan Sun and Yebin Liu, “PyMAF-X: Towards Well-aligned Full-body Model Regression from Monocular Images,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 45, no. 10, pp. 12287-12303, 2023.
34. Hongyuan Yu, Houwen Peng, Yan Huang, Jianlong Fu, Hao Du, Liang Wang, Haibin Ling, “Cyclic Differentiable Architecture Search,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 45, no. 1, pp. 211-228, 2023.
35. Huaibo Huang, Mandi Luo, Ran He, “Memory Uncertainty Learning for Real-World Single Image Deraining,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 45, no. 3, pp. 3446-3460, 2023.
36. Jie Cao, Mandi Luo, Junchi Yu, Ming-Hsuan Yang and Ran He, “ScoreMix: A Scalable Augmentation Strategy for Training GANs With Limited Data,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 45, no. 7, pp. 8920-8935, 2023.
37. Junran Peng, Qing Chang, Haoran Yin, Xingyuan Bu, Jiajun Sun, Lingxi Xie, Xiaopeng Zhang, Qi Tian, Zhaoxiang Zhang, “GAIA-Universe: Everything is Super-Netify,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 45, no. 10, pp. 11856-11868, 2023.
38. Junsong Fan, Zhaoxiang Zhang, “Memory-Based Cross-Image Contexts for Weakly Supervised Semantic Segmentation,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 45, no. 5, pp. 6006-6020, 2023.
39. Linjiang Huang, Kaixin Lu, Guanglu Song, Liang Wang, Si Liu, Yu Liu, Hongsheng Li, “Teach-DETR: Better Training DETR With Teachers,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 45, no. 12, pp. 15759-15771, 2023.
40. Lue Fan, Yuxue Yang, Feng Wang, Naiyan Wang, Zhaoxiang Zhang, “Super Sparse 3D Object Detection,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 45, no. 10, pp. 12490-12505, 2023.
41. Min Ren, Yunlong Wang, Yuhao Zhu, Kunbo Zhang, Zhenan Sun, “Multiscale Dynamic Graph Representation for Biometric Recognition with Occlusions,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 45, no. 12, pp. 15120-15136, 2023.
42. Wenjian Wang, Lijuan Duan, Yuxi Wang, Junsong Fan, Zhaoxiang Zhang, “MMT: Cross Domain Few-Shot Learning via Meta-Memory Transfer,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 45, no. 12, pp. 15018-15035, 2023.
43. Yan Huang, Yuming Wang, and Liang Wang, “Efficient Image and Sentence Matching,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 45, no. 3, pp. 2970-2983, 2023.
44. Yi-Fan Song, Zhang Zhang, Caifeng Shan and Liang Wang, “Constructing Stronger and Faster Baselines for Skeleton-Based Action Recognition,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 45, no. 2, pp. 1474-1488, 2023.
45. Yueming Lyu, Yue Jiang, Ziwen He, Bo Peng, Yunfan Liu, Jing Dong, “3D-Aware Adversarial Makeup Generation for Facial Privacy Protection,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 45, no. 11, pp. 13438-13453, 2023.
46. Yunfan Liu, Qi Li, Qiyao Deng, Zhenan Sun, Ming-Hsuan Yang, “GAN-Based Facial Attribute Manipulation,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 45, no. 12, pp. 14590-14610, 2023.
47. Yuqi Wang, Yuntao Chen, Zhaoxiang Zhang, “Object Affinity Learning: Towards Annotation-Free Instance Segmentation,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 45, no. 11, pp. 13959-13973, 2023.
48. Fangling Jiang, Qi Li, Pengcheng Liu, Xiang-Dong Zhou, Zhenan Sun, “Adversarial Learning Domain-Invariant Conditional Features for Robust Face Anti-spoofing,” International Journal of Computer Vision, vol. 131, pp. 1680-1703, 2023.
49. Junsong Fan, Zhaoxiang Zhang, “Toward Practical Weakly Supervised Semantic Segmentation via Point-Level Supervision,” International Journal of Computer Vision, vol. 131, pp. 3252–3271, 2023.
50. Zhengxiong Luo, Yan Huang, Shang Li, Liang Wang, Tieniu Tan, “End-to-End Alternating Optimization for Real-World Blind Super Resolution,” International Journal of Computer Vision, vol. 131, no. 12, pp. 3152-3169, 2023.
51. Yuhe Ding, Lijun Sheng, Jian Liang, Aihua Zheng, Ran He, “ProxyMix: Proxy-based Mixup training with label refinery for source-free domain adaptation.,” Neural Networks, vol. 167, pp. 92-103, 2023.
52. Zhen Jia, Zhang Zhang, Caifeng Shan, Liang Wang, Tieniu Tan, “Dual-focus transfer network for zero-shot learning,” Neurocomputing, vol. 541, pp. 126264, 2023.
53. Junxian Duan, Xiang Wu, Yibo Hu, Chaoyou Fu, Zi Wang, Ran He, “Iterative embedding distillation for open world vehicle recognition,” Pattern Recognition, vol. 135, pp. 109140, 2023.
54. Qi Li, Weining Wang, Yuanyan Tang, Chengzhong Xu, Zhenan Sun, “Semantic-based conditional generative adversarial hashing with pairwise labels,” Pattern Recognition, vol. 139, pp. 109452, 2023.
55. Wentao Chen, Zhang Zhang, Wei Wang, Liang Wang, Zilei Wang, Tieniu Tan, “Few-Shot Learning with Unsupervised Part Discovery and Part-Aligned Similarity,” Pattern Recognition, vol. 133, pp. 108986, 2023.
56. Yan Huang, Zhang Zhang, Yan Huang, Qiang Wu, Han Huang, Yi Zhong, Liang Wang, “Customized meta-dataset for automatic classifier accuracy evaluation,” Pattern Recognition, vol. 146, pp. 110026, 2023.
57. Ziwen He, Wei Wang, Jing Dong, Tieniu Tan, “Temporal sparse adversarial attack on sequence-based gait recognition,” Pattern Recognition, vol. 113, pp. 109028, 2023.

 

 

1. Shengchao Zhou, Gaofeng Meng, Zhaoxiang Zhang, Richard Yi Da Xu , Shiming Xiang, “Robust Feature Rectification of Pretrained Vision Models for Object Recognition,” Proc. AAAI Conference on Artificial Intelligence, pp. 3796-3804, February 2023, Washington, USA.
2. Tianxiang Ma, Bingchuan Li, Qian He, Jing Dong, Tieniu Tan, “Semantic 3D-aware Portrait Synthesis and Manipulation Based on Compositional Neural Radiance Field,” Proc. AAAI Conference on Artificial Intelligence, February 2023, Washington, USA.
3. Tianxiang Ma, Bingchuan Li, Wei Liu, Miao Hua, Jing Dong, Tieniu Tan, “CFFT-GAN: Cross-domain Feature Fusion Transformer for Exemplar-based Image Translation,” Proc. AAAI Conference on Artificial Intelligence, February 2023, Washington, USA.
4. Zewen Long, Liang Wang, Qiang Liu and Shu Wu, “Personalized Interest Sustainability Modeling for Sequential POI Recommendation,” Proc. ACM International Conference on Information and Knowledge Management, pp. 4145–4149, October 2023, Birmingham, UK.
5. Jilong Wang, Saihui Hou, Yan Huang, Chunshui Cao, Xu Liu, Yongzhen Huang and Liang Wang, “Causal Intervention for Sparse-View Gait Recognition,” Proc. ACM International Conference on Multimedia, pp. 77-85, October 2023, Ottawa, Canada.
6. Songlin Yang, Wei Wang, Jun Ling, Bo Peng, Xu Tan and Jing Dong, “Context-Aware Talking-Head Video Editing,” Proc. ACM International Conference on Multimedia, pp. 7718–7727, October 2023, Ottawa, Canada.
7. Yiwei Ru, Peipei Li, Muyi Sun, Yunlong Wang, Kunbo Zhang, Qi Li, Zhaofeng He, and Zhenan Sun, “Sensing Micro-Motion Human Patterns using Multimodal mmRadar and Video Signal for Affective and Psychological Intelligence,” Proc. ACM International Conference on Multimedia, pp. 5935–5946, October 2023, Ottawa, Canada.
8. Qiang Liu, YIngtao Luo, Yuntian Chen, Wenbo Hu, Tian Tian and Jun Zhu, “Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential Equations,” Proc. ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp. 1595–1607, August 2023, Long Beach, USA.
9. Jin Liu, Huaibo Huang, Jie Cao, Junxian Duan, Ran He, “Fine-Grained Face Sketch-Photo Synthesis with Text-Guided Diffusion Models,” Proc. Asian Conference on Pattern Recognition, pp. 340–354, November 2023, Kitakyushu, Japan.
10. Shenyuan Huang, Huaibo Huang, Zi Wang, Nan Xu, Aihua Zheng, Ran He, “Uncertainty-Guided Test-time Training for Face Forgery Detection,” Proc. Asian Conference on Pattern Recognition, pp. 258-272, November 2023, Kitakyushu, Japan.
11. Dingshuo Chen, Yanqiao Zhu, Jieyu Zhang, Yuanqi Du, Zhixun Li, Qiang Liu, Shu Wu and Liang Wang, “Uncovering Neural Scaling Laws in Molecular Representation Learning,” Proc. Conference on Neural Information Processing Systems, December 2023, New Orleans, USA.
12. Haochen Wang, Junsong Fan, Yuxi Wang, Kaiyou Song, Tong Wang, Zhaoxiang Zhang, “DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions,” Proc. Conference on Neural Information Processing Systems, December 2023, New Orleans, USA.
13. Hongxin Li, Jingran Su, Yuntao Chen, Qing Li, and Zhaoxiang Zhang, “SheetCopilot: Bringing Software Productivity to the Next Level through Large Language Models,” Proc. Conference on Neural Information Processing Systems, pp. 292, December 2023, New Orleans, USA.
14. Keji He, Chenyang Si, Zhihe Lu, Yan Huang, Liang Wang, and Xinchao Wang, “Frequency-Enhanced Data Augmentation for Vision-and-Language Navigation,” Proc. Conference on Neural Information Processing Systems, pp. 12863, December 2023, New Orleans, USA.
15. Xin Sun, Qiang Liu, Shu Wu, Zilei Wang, Liang Wang, “Noise-Robust Semi-Supervised Learning for Distantly Supervised Relation Extraction,” Proc. Findings of Empirical Methods in Natural Language Processing, pp. 13145–13157, December 2023, Singapore.
16. Chang Yu, Xiangyu Zhu, Xiaomei Zhang, Zhaoxiang Zhang, Zhen Lei, “Graphics Capsule: Learning Hierarchical 3D Face Representations from 2D Images,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 20981-20990, June 2023, Vancouver, Canada.
17. Chenyang Lei, Xuanchi Ren, Zhaoxiang Zhang, Qifeng Chen, “Blind Video Deflickering by Neural Filtering with a Flawed Atlas,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 10439-10448, June 2023, Vancouver, Canada.
18. Chenyu Yang, Yuntao Chen, Hao Tian, Chenxin Tao, Xizhou Zhu, Zhaoxiang Zhang, Gao Huang, Hongyang Li, Yu Qiao, Lewei Lu, Jie Zhou, Jifeng Dai, “BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 17830-17839, June 2023, Vancouver, Canada.
19. Cong Pan, Yonghao He, Junran Peng, Qian Zhang, Wei Sui, Zhaoxiang Zhang, “BAEFormer: Bi-directional and Early Interaction Transformers for Bird's Eye View Semantic Segmentation,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 9590-9599, June 2023, Vancouver, Canada.
20. Dongze Li, Wei Wang, Kang Zhao, Jing Dong, Tieniu Tan, “RiDDLE: Reversible and Diversified De-identification with Latent Encryptor,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 8093-8102, June 2023, Vancouver Canada.
21. Haochen Wang, Kaiyou Song, Junsong Fan, Yuxi Wang, Jin Xie, and Zhaoxiang Zhang, “Hard Patches Mining for Masked Image Modeling,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 10375-10385, June 2023, Vancouver, Canada.
22. Huaibo Huang, Xiaoqiang Zhou, Jie Cao, Ran He, Tieniu Tan, “Vision Transformer with Super Token Sampling,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 22690--22699, June 2023, Vancouver, Canada.
23. Jiawei He, Yuntao Chen, Naiyan Wang, Zhaoxiang Zhang, “3D Video Object Detection with Learnable Object-Centric Global Optimization,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 5106-5115, June 2023, Vancouver, Canada.
24. Jingqiu Zhou, Linjiang Huang, Liang Wang, Si Liu, Hongsheng Li, “Improving Weakly Supervised Temporal Action Localization by Bridging Train-Test Gap in Pseudo Labels,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 23003-23012, June 2023, Vancouver, Canada.
25. Junchi Yu, Jian Liang, Ran He, “Mind the Label Shift of Augmentation-based Graph OOD Generalization,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 11620-11630, June 2023, Vancouver, Canada.
26. Pengfei Wang, Zhaoxiang Zhang, Zhen Lei, Lei Zhang, “Sharpness-Aware Gradient Matching for Domain Generalization,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 3769-3778, June 2023, Vancouver, Canada.
27. Qu Tang, Xiangyu Zhu, Zhen Lei, Zhaoxiang Zhang, “Intrinsic Physical Concepts Discovery with Object-Centric Predictive Models,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 23252-23261, June 2023, Vancouver, Canada.
28. Yueming Lyu, Tianwei Lin, Fu Li, Dongliang He, Jing Dong, Tieniu Tan, “DeltaEdit: Exploring Text-free Training for Text-Driven Image Manipulation,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, June 2023, Vancouver, Canada.
29. Yuqi Wang, Yuntao Chen and Zhaoxiang Zhang, “FrustumFormer: Adaptive Instance-aware Resampling for Multi-view 3D Detection,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 5096-5105, June 2023, Vancouver, Canada.
30. Songlin Yang, Wei Wang, Bo Peng, and Jing Dong, “Designing a 3D-Aware StyleNeRF Encoder for Face Editing,” Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, June 2023, Rhodes Island, Greece.
31. Yuhe Ding, Jian Liang, Jie Cao, Aihua Zheng, Ran He, “Modify: Model-Driven Face Stylization Without Style Images,” Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, June 2023, Rhodes Island, Greece.
32. Zhengbo Wang, Jian Liang, Zilei Wang, Tieniu Tan, “Exploiting Semantic Attributes for Transductive Zero-Shot Learning,” Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 1-5, June 2023, Rhodes Island, Greece.
33. Dong An, Yuankai Qi, Yangguang Li, Yan Huang, Liang Wang, Tieniu Tan, Jing Shao, “Bevbert: Multimodal map pre-training for language-guided navigation,” Proc. IEEE International Conference on Computer Vision, October 2023, Paris, France.
34. Jingtao Wang, Zengjie Song, Yuxi Wang, Jun Xiao, Yuran Yang, Shuqi Mei, Zhaoxiang Zhang, “SSF: Accelerating Training of Spiking Neural Networks with Stabilized Spiking Flow,” Proc. IEEE International Conference on Computer Vision, pp. 5982-5991, October 2023, Paris, France.
35. Lijun Sheng, Jian Liang, Ran He, Zilei Wang, Tieniu Tan, “AdaptGuard: Defending Against Universal Attacks for Model Adaptation,” Proc. IEEE International Conference on Computer Vision, pp. 19093-19103, October 2023, Paris, France.
36. Lin Zhang, Xin Li, Dongliang He, Fu Li, Errui Ding and Zhaoxiang Zhang, “LMR: A Large-Scale Multi-Reference Dataset for Reference-based Super-Resolution,” Proc. IEEE International Conference on Computer Vision, pp. 13118-13127, December 2023, Paris, France.
37. Lue Fan, Yuxue Yang, Yiming Mao, Feng Wang, Yuntao Chen, Naiyan Wang, Zhaoxiang Zhang, “Once Detected, Never Lost: Surpassing Human Performance in Offline LiDAR based 3D Object Detection,” Proc. IEEE International Conference on Computer Vision, pp. 19820-19829, October 2023, Paris, France.
38. Peipei Li, Rui Wang, Huaibo Huang, Ran He, Zhaofeng He, “Pluralistic Aging Diffusion Autoencoder,” Proc. IEEE International Conference on Computer Vision, pp. 22613-22623, October 2023, Paris, France.
39. Tianxiang Ma, Bingchuan Li, Qian He, Jing Dong, Tieniu Tan, “GaFET: Learning Geometry-aware Facial Expression Translation from In-The-Wild Images,” Proc. IEEE International Conference on Computer Vision, October 2023, Paris, France.
40. Xiaoqiang Zhou, Huaibo Huang, Ran He, Zilei Wang, Jie Hu, and Tieniu Tan, “MSRA-SR: Image Super-resolution Transformer with Multi-scale Shared Representation Acquisition,” Proc. IEEE International Conference on Computer Vision, pp. 12665-12676, October 2023, Paris, France.
41. Yuting Xu, Jian Liang, Gengyun Jia, Ziming Yang, Yanhao Zhang, Ran He, “TALL: Thumbnail Layout for Deepfake Video Detection,” Proc. IEEE International Conference on Computer Vision, pp. 22658-22668, October 2023, Paris, France.
42. Yuxi Wang, Jian Liang, Jun xiao, Shuqi Mei, Yuran Yang, Zhaoxiang Zhang, “Informative Data Mining for One-shot Cross-Domain Semantic Segmentation,” Proc. IEEE International Conference on Computer Vision, pp. 1064-1074, October 2023, Paris, France.
43. Zhengbo Wang, Jian Liang, Ran He, Nan Xu, Zilei Wang, Tieniu Tan, “Improving Zero-Shot Generalization for CLIP with Synthesized Prompts,” Proc. IEEE International Conference on Computer Vision, pp. 3032-3042, October 2023, Paris, France.
44. Songlin Yang, Wei Wang, Chenye Xu, Ziwen He, Bo Peng and Jing Dong, “Exposing Fine-Grained Adversarial Vulnerability of Face Anti-Spoofing Models,” Proc. IEEEConference on Computer Vision and Pattern Recognition (Workshop), pp. 1001-1010, June 2023, Vancouver, Canada.
45. Jinghao Zhang, Qiang Liu, Shu Wu and Liang Wang, “Mining Stable Preferences: Adaptive Modality Decorrelation for Multimedia Recommendation,” Proc. International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 443–452, July 2023, Taipei, China.
46. Yalin Huang, Yu Tian, Kunbo Zhang, Kaiyue Zhang, Zhenan Sun, “Unified Polarimetric Method for Cross-domain Face Attacks Detection,” Proc. International Conference on Algorithms, Microchips, and Network Applications, pp. , January 2023, Zhengzhou, China.
47. Ming-Zhe Li, Zhen Jia, Zhang Zhang, Zhanyu Ma, and Liang Wang, “Multi-Semantic Fusion Model for Generalized Zero-Shot Skeleton-Based Action Recognition,” Proc. International Conference on Image and Graphics, pp. 68-80, September 2023, Nanjing, China.
48. YiFan Zhang, xue wang, Jian Liang, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan, “Free Lunch for Domain Adversarial Training: Environment Label Smoothing,” Proc. International Conference on Learning Representations, May 2023, Kigali Rwanda.
49. Yunlong Wang, Jianze Wei, Zhaofeng He, Zhenan Sun, Tieniu Tan, “Dual Dense Uncertainty Embedding for Iris Recognition,” Proc. International Joint Conference on Biometrics, September 2023, Ljubljana, Slovenia.
50. Mengqi Zhang, Yuwei Xia, Qiang Liu, Shu Wu and Liang Wang, “Learning Long- and Short-term Representations for Temporal Knowledge Graph Reasoning,” Proc. The ACM Web Conference, pp. 2412–2422, April 2023, Austin, USA.
51. Xianyun Sun, Beibei Dong, Caiyong Wang, Bo Peng, Jing Dong, “Visual Realism Assessment For Face-Swap Videos,” Proc. International Conference on Image and Graphics (ICIG), pp. 415-426, September 2023, Nanjing, China.