1. Zhen Jia, Zhang Zhang, Liang Wang, Tieniu Tan, “Human Image Generation: A Comprehensive Survey,” ACM Computing Surveys, vol. 56, no. 11, pp. 1-39, 2024.
2. Zheling Meng, Bo Peng, Jing Dong, Tieniu Tan, Haonan Cheng, “Artifact feature purification for cross-domain detection of AI-generated images,” Computer Vision and Image Understanding, vol. 247, pp. 104078, 2024.
3. Liqing Gao, Wei Feng, Fan Lyu, Liang Wan, “Combinational sign language recognition,” Computer Vision and Image Understanding, vol. 241, pp. 103972, 2024.
4. He Guan, Chunfeng Song, Zhaoxiang Zhang, “GRAMO: geometric resampling augmentation for monocular 3D object detection,” Frontiers of Computer Science, vol. 18, no. 5, pp. 185706, 2024.
5. Shuangqing Zhang, Zhang Zhang, Da Li, Zhen Jia, Chenglong Li, Liang Wang, Hanyu Zhao, Duo Wang, “Class Hierarchy Guided Generalized Few-shot Ship Detection in Remote Sensing Images,” IEEE Geoscience and Remote Sensing Letters, vol. 21, pp. 6013005, 2024.
6. Shuangqing Zhang, Zhang Zhang, Da Li, Zhen Jia, Chenglong Li, Liang Wang, Hanyu Zhao, Duo Wang, “Class Hierarchy-Guided Generalized Few-Shot Ship Detection in Remote Sensing Images,” IEEE Geoscience and Remote Sensing Letters, vol. 21, pp. 6013005, 2024.
7. Caiyong Wang, Haiqing Li, Yixin Zhang, Guangzhe Zhao, Yunlong Wang, Zhenan Sun, “Sclera-TransFuse: Fusing Vision Transformer and CNN for Accurate Sclera Segmentation and Recognition,” IEEE Transactions on Biometrics, Behavior, and Identity Science, vol. 6, no. 4, pp. 575-590, 2024.
8. Xiaoqiang Zhou, Chaoyou Fu, Huaibo Huang, Ran He, “Dynamic Graph Memory Bank for Video Inpainting,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 34, no. 11, pp. 10831-10844, 2024.
9. Liqing Gao, Fan Lyu, Peng Shi, Lei Zhu, Junfu Pu, Liang Wan, Wei Feng, “Overcoming Modality Bias in Question-Driven Sign Language Video Translation,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 34, no. 11, pp. 11724-11738, 2024.
10. Junxing Hu, Hongwen Zhang, Yunlong Wang, Min Ren, Zhenan Sun, “Personalized Graph Generation for Monocular 3D Human Pose and Shape Estimation,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 34, no. 4, pp. 2399-2413, 2024.
11. Yueming Lyu, Yue Jiang, Bo Peng, Jing Dong, “InfoStyler: Disentanglement Information Bottleneck for Artistic Style Transfer,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 34, no. 4, pp. 2070-2082, 2024.
12. Yuhe Ding, Jian Liang, Bo Jiang, Aihua Zheng, Ran He, “MAPS: A Noise-Robust Progressive Learning Approach for Source-Free Domain Adaptive Keypoint Detection,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 34, no. 3, pp. 1376-1387, 2024.
13. Kai Niu, Yanyi Liu, Yuzhou Long, Yan Huang, Liang Wang, Yanning Zhang, “An Overview of Text-Based Person Search: Recent Advances and Future Directions,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 34, no. 9, pp. 7803-7819, 2024.
14. Chi Zhang, Wenbo Chen, Wei Wang, Zhaoxiang Zhang, “MA-ST3D: Motion Associated Self-Training for Unsupervised Domain Adaptation on 3D Object Detection,” IEEE Transactions on Image Processing, vol. 33, pp. 6227-6240, 2024.
15. 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, vol. 33, pp. 639-654, 2024.
16. Kai Niu, Linjiang Huang, Yuzhou Long, Yan Huang, Liang Wang, Yanning Zhang, “Comprehensive Attribute Prediction Learning for Person Search by Language,” IEEE Transactions on Image Processing, vol. 33, pp. 1990-2003, 2024.
17. Yan Huang, Qiang Wu, Zhang Zhang, Caifeng Shan, Yan Huang, Yi Zhong, Liang Wang, “Meta Clothing Status Calibration for Long-Term Person Re-Identification,” IEEE Transactions on Image Processing, vol. 33, pp. 2334-2346, 2024.
18. Zhiwei Li, Min Ren, Qi Li, Fangling Jiang and Zhenan Sun, “Improving Transferability of Adversarial Samples via Critical Region-oriented Feature-level Attack,” IEEE Transactions on Information Forensics and Security, vol. 19, pp. 6650-6664, 2024.
19. Min Ren, Yuhao Zhu, Yunlong Wang, Yongzhen Huang and Zhenan Sun, “Understanding Deep Face Representation via Attribute Recovery,” IEEE Transactions on Information Forensics and Security, vol. 19, pp. 6949-6961, 2024.
20. Jianze Wei, Yunlong Wang*, Xingyu Gao, Ran He, Zhenan Sun, “Multi-Faceted Knowledge-Driven Graph Neural Network for Iris Segmentation,” IEEE Transactions on Information Forensics and Security, vol. 19, pp. 6015-6027, 2024.
21. Weinan Guan, Wei Wang, Jing Dong and Bo Peng, “Improving Generalization of Deepfake Detectors by Imposing Gradient Regularization,” IEEE Transactions on Information Forensics and Security, vol. 19, pp. 5345-5356, 2024.
22. Ke Han, Yan Huang, Liang Wang, Zikun Liu, “Self-Supervised Recovery and Guide for Low-Resolution Person Re-Identification,” IEEE Transactions on Information Forensics and Security, vol. 19, pp. 6252-6263, 2024.
23. Leqi Ding, Lei Liu, Yan Huang, Chenglong Li, Cheng Zhang, Wei Wang, Liang Wang, “Text-to-Image Vehicle Re-Identification: Multi-Scale Multi-View Cross-Modal Alignment Network and a Unified Benchmark,” IEEE Transactions on Intelligent Transportation Systems, vol. 25, no. 7, pp. 7673-7686, 2024.
24. Huanyu Zhang, Yi-Fan Zhang, Zhang Zhang, Qingsong Wen, Liang Wang, “LogoRA: Local-Global Representation Alignment for Robust Time Series Classification,” IEEE Transactions on Knowledge and Data Engineering, vol. 36, no. 12, pp. 8718-8729, 2024.
25. Junfei Wu, Weizhi Xu, Qiang Liu, Shu Wu and Liang Wang, “Adversarial Contrastive Learning for Evidence-Aware Fake News Detection with Graph Neural Networks,” IEEE Transactions on Knowledge and Data Engineering, vol. 36, no. 11, pp. 5591-5604, 2024.
26. Qiang Liu, Junfei Wu, Shu Wu, Liang Wang, “Out-of-distribution Evidence-aware Fake News Detection via Dual Adversarial Debiasing,” IEEE Transactions on Knowledge and Data Engineering, vol. 36, no. 11, pp. 6801-6813, 2024.
27. Liang Wang, Shu Wu, Qiang Liu, Yanqiao Zhu, Xiang Tao, Mengdi Zhang and Liang Wang, “Bi-Level Graph Structure Learning for Next POI Recommendation,” IEEE Transactions on Knowledge and Data Engineering, vol. 36, no. 11, pp. 5695-5708, 2024.
28. Guofan Liu, Jinghao Zhang, Qiang Liu, Junfei Wu, Shu Wu, Liang Wang, “Uni-Modal Event-Agnostic Knowledge Distillation for Multimodal Fake News Detection,” IEEE Transactions on Knowledge and Data Engineering, vol. 36, no. 12, pp. 9490-9503, 2024.
29. Liping Wang, Qiang Liu, Mengqi Zhang, Yaxuan Hu, Shu Wu, Liang Wang, “Stage-Aware Hierarchical Attentive Relational Network for Diagnosis Prediction,” IEEE Transactions on Knowledge and Data Engineering, vol. 36, no. 4, pp. 1773-1784, 2024.
30. Xiaoqiang Zhou, Huaibo Huang, Zilei Wang, Ran He, “RISTRA: Recursive Image Super-Resolution Transformer with Relativistic Assessment,” IEEE Transactions on Multimedia, vol. 26, pp. 6475-6487, 2024.
31. Yueming Lyu, Tianwei Lin, Fu Li, Dongliang He, Jing Dong, Tieniu Tan, “DRAN: Detailed Region-Adaptive Normalization for Conditional Image Synthesis,” IEEE Transactions on Multimedia, vol. 26, pp. 1969-1982, 2024.
32. Andong Lu, Zhang Zhang, Yan Huang, Yifan Zhang, Chenglong Li, Jin Tang, Liang Wang, “Illumination Distillation Framework for Nighttime Person Re-Identification and a New Benchmark,” IEEE Transactions on Multimedia, vol. 26, pp. 406-419, 2024.
33. Zengjie Song, Zhaoxiang Zhang, “Visually Guided Sound Source Separation with Audio-Visual Predictive Coding,” IEEE Transactions on Neural Networks and Learning Systems, vol. 35, no. 11, pp. 15528-15542, 2024.
34. Zeyu Cui, Zekun Li, Shu Wu, Xiaoyu Zhang, Qiang Liu, Liang Wang, Mengmeng Ai, “DyGCN: Efficient Dynamic Graph Embedding with Graph Convolutional Network,” IEEE Transactions on Neural Networks and Learning Systems, vol. 35, no. 4, pp. 4635-4646, 2024.
35. Qi Li, Weining Wang, Chengzhong Xu, Zhenan Sun, Ming-Hsuan Yang, “Learning Disentangled Representation for One-Shot Progressive Face Swapping,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 46, no. 12, pp. 8348-8364, 2024.
36. Cong Pan, Junran Peng, Xingyuan Bu, Zhaoxiang Zhang, “Large-Scale Object Detection in the Wild with Imbalanced Data Distribution, and Multi-Labels,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 46, no. 12, pp. 9255-9271, 2024.
37. Yingyan Li, Lue Fan, Yang Liu, Zehao Huang, Yuntao Chen, Naiyan Wang and Zhaoxiang Zhang, “Fully Sparse Fusion for 3D Object Detection,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 46, no. 11, pp. 7217-7231, 2024.
38. Jiawei He, Zehao Huang, Naiyan Wang, Zhaoxiang Zhang, “Learnable Graph Matching: A Practical Paradigm for Data Association,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 46, no. 7, pp. 4880-4895, 2024.
39. Yuxi Wang, Jian Liang, Zhaoxiang Zhang, “A Curriculum-Style Self-Training Approach for Source-Free Semantic Segmentation,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 46, no. 12, pp. 9890-9907, 2024.
40. Zengjie Song, Jiangshe Zhang, Yuxi Wang, Junsong Fan, Zhaoxiang Zhang, “Enhancing Sound Source Localization via False Negative Elimination,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 46, no. 12, pp. 10499-10514, 2024.
41. Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He, “Recognizing Predictive Substructures with Subgraph Information Bottleneck,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 46, no. 3, pp. 1650-1663, 2024.
42. Fei Liu, Yunlong Wang, Qing Yang, Shubo Zhou, Kunbo Zhang, “A comprehensive research on light field imaging: theory and application,” IET Computer Vision, 2024.
43. Fangling Jiang, Qi Li, Weining Wang, Min Ren, Wei Shen, Bing Liu, Zhenan Sun, “Open-Set Single-Domain Generalization for Robust Face Anti-Spoofing,” International Journal of Computer Vision, vol. 132, pp. 5151–5172, 2024.
44. Min Ren, Yunlong Wang, Yuhao Zhu, Yongzhen Huang, Zhenan Sun, Qi Li, Tieniu Tan., “Artificial Immune System of Secure Face Recognition Against Adversarial Attacks,” International Journal of Computer Vision, vol. 132, pp. 5718-5740, 2024.
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1. Weiqi Li, Fan Lyu, Fanhua Shang, Liang Wan, Wei Feng, “Long-Tailed Learning as Multi-Objective Optimization,” Proc. AAAI Conference on Artificial Intelligence, pp. 3190-3198, February 2024, Vancouver, Canada.
2. Junxing Hu, Hongwen Zhang, Zerui Chen, Mengcheng Li, Yunlong Wang, Yebin Liu, Zhenan Sun, “Learning Explicit Contact for Implicit Reconstruction of Hand-held Objects from Monocular Images,” Proc. AAAI Conference on Artificial Intelligence, pp. 2220-2228, February 2024, Vancouver, Canada.
3. Liang Wang, Xiang Tao, Qiang Liu, Shu Wu and Liang Wang, “Rethinking Graph Masked Autoencoders through Alignment and Uniformity,” Proc. AAAI Conference on Artificial Intelligence, pp. 15528-15536, February 2024, Vancouver, Canada.
4. Jing Li, Junsong Fan, Yuran Yang, Shuqi Mei, Jun Xiao, Zhaoxiang Zhang, “Fully Data-Driven Pseudo Label Estimation for Pointly-Supervised Panoptic Segmentation,” Proc. AAAI Conference on Artificial Intelligence, pp. 3127-3135, February 2024, Vancouver, Canada.
5. Zi Wang, Huaibo Huang, Aihua Zheng, Ran He, “Heterogeneous Test-Time Training for Multi-Modal Person Re-identification,” Proc. AAAI Conference on Artificial Intelligence, pp. 5850-5858, February 2024, Vancouver, Canada.
6. Haisong Gong, Qiang Liu, Shu Wu, Liang Wang, “Text-Guided Molecule Generation with Diffusion Language Model,” Proc. AAAI Conference on Artificial Intelligence, pp. 109-117, February 2024, Vancouver, Canada.
7. Haisong Gong, Weizhi Xu, Shu Wu, Qiang Liu, Liang Wang, “Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables,” Proc. AAAI Conference on Artificial Intelligence, pp. 100-108, February 2024, Vancouver, Canada.
8. Songlin Yang, Wei Wang, Yushi Lan, Xiangyu Fan, Bo Peng, Lei Yang, and Jing Dong, “Learning Dense Correspondence for NeRF-Based Face Reenactment,” Proc. AAAI Conference on Artificial Intelligence, pp. Vol. 38 No. 7, February 2024, Vancouver, Canada.
9. Dongze Li, Kang Zhao, Wei Wang, Bo Peng, Yingya Zhang, Jing Dong, Tieniu Tan, “AE-NeRF: Audio Enhanced Neural Radiance Field for Few Shot Talking Head Synthesis,” Proc. AAAI Conference on Artificial Intelligence, pp. 3037-3045, February 2024, Vancouver, Canada.
10. Jiajun Zhang, Zhixun Li, Qiang Liu, Shu Wu, Zilei Wang, Liang Wang, “Evolving to the Future: Unseen Event Adaptive Fake News Detection on Social Media,” Proc. ACM International Conference on Information and Knowledge Management, pp. 4273-4277, October 2024, Boise, Idaho, USA.
11. Jinghao Zhang, Guofan Liu, Qiang Liu, Shu Wu, Liang Wang, “Modality-Balanced Learning for Multimedia Recommendation,” Proc. ACM International Conference on Multimedia, pp. 7551-7560, October 2024, Melbourne, Australia.
12. Yue Jiang, Yueming Lyu, Ziwen He, Bo Peng, Jing Dong, “Mitigating Social Biases in Text-to-Image Diffusion Models via Linguistic-Aligned Attention Guidance,” Proc. ACM International Conference on Multimedia, pp. 3391-3400, October 2024, Melbourne, Australia.
13. Liu, Jin, Huaibo Huang, Jie Cao, and Ran He, “ZePo: Zero-Shot Portrait Stylization with Faster Sampling,” Proc. ACM International Conference on Multimedia, pp. 3509-3518, October 2024, Melbourne, Australia.
14. Zeyu Li, Ruitong Gan, Chuanchen Luo, Yuxi Wang, Jiaheng Liu, Ziwei Zhu, Qing Li, Xucheng Yin, Man Zhang, Zhaoxiang Zhang, Junran Peng, “MaterialSeg3D: Segmenting Dense Materials from 2D Priors for 3D Assets,” Proc. ACM International Conference on Multimedia, pp. 370-379, October 2024, Melbourne, Australia.
15. Xin Sun, Liang Wang, Qiang Liu, Shu Wu, Zilei Wang, Liang Wang, “DIVE: Subgraph Disagreement for Graph Out-of-Distribution Generaliztion,” Proc. ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp. 2794-2805, August 2024, Barcelona, Spain.
16. Xin Sun, Liang Wang, Qiang Liu, Shu Wu, Zilei Wang, Liang Wang:, “DIVE: Subgraph Disagreement for Graph Out-of-Distribution Generalization.,” Proc. ACM SIGKDD Conference on Knowledge Discovery and Data Mining, pp. 2794-2805, August 2024, Barcelona, Spain.
17. Xiang Tao, Liang Wang, Qiang Liu, Shu Wu and Liang Wang, “Semantic Evolvement Enhanced Graph Autoencoder for Rumor Detection,” Proc. The ACM Web Conference, pp. 4150-4159, May 2024, Singapore.
18. Jinghao Zhang, Yuting Liu, Qiang Liu, Shu Wu, Guibing Guo, Liang Wang, “Stealthy Attack on Large Language Model based Recommendation,” Proc. Annual Meeting of the Association for Computational Linguistics, pp. 5839–5857, August 2024, Bangkok, Thailand.
19. Tingkai Liu, Yunzhe Tao, Haogeng Liu, Qihang Fang, Ding Zhou, Huaibo Huang, Ran He, Hongxia Yang, “DeVAn: Dense Video Annotation for Video-Language Models,” Proc. Annual Meeting of the Association for Computational Linguistics, pp. 14305-14321, August 2024, Bangkok, Thailand.
20. Haogeng Liu, Quanzeng You, Yiqi Wang, Xiaotian Han, Bohan Zhai, Yongfei Liu, Wentao Chen, Yiren Jian, Yunzhe Tao, Jianbo Yuan, Ran He, Hongxia Yang, “InfiMM: Advancing Multimodal Understanding with an Open-Sourced Visual Language Model,” Proc. Annual Meeting of the Association for Computational Linguistics, pp. 485-492, August 2024, Bangkok, Thailand.
21. Jiaxu Tian, Fan Lyu, “Parameter-Selective Continual Test-Time Adaptation,” Proc. Asian Conference on Computer Vision, pp. 15479, December 2024, Hanoi, Vietnam.
22. Xiangxin Zhou, Jiaqi Guan, Yijia Zhang, Xingang Peng, Liang Wang, Jianzhu Ma, “Reprogramming Pretrained Target-Specific Diffusion Models for Dual-Target Drug Design,” Proc. Conference on Neural Information Processing Systems, December 2024, Vancouver, Canada.
23. Dingshuo Chen, Zhixun Li, Yuyan Ni, Guibin Zhang, Ding Wang, Qiang Liu, Shu Wu, Jeffrey Xu Yu, Liang Wang, “Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization,” Proc. Conference on Neural Information Processing Systems, December 2024, Vancouver, Canada.
24. Han Huang, Haitian Zhong, Tao Yu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan, “VLKEB: A Large Vision-Language Model Knowledge Editing Benchmark,” Proc. Conference on Neural Information Processing Systems, December 2024, Vancouver, Canada.
25. Hongbo Zhao, Lue Fan, Yuntao Chen, Haochen Wang, Xiaojuan Jin, Yixin Zhang, Gaofeng Meng, Zhaoxiang Zhang, “OpenSatMap: A Fine-grained High-resolution Satellite Dataset for Large-scale Map Construction,” Proc. Conference on Neural Information Processing Systems, December 2024, Vancouver, Canada.
26. Haokun Lin, Haobo Xu, Yichen Wu, Jingzhi Cui, Yingtao Zhang, Linzhan Mou, Linqi Song, Zhenan Sun, Ying Wei, “DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs,” Proc. Conference on Neural Information Processing Systems, December 2024, Vancouver, Canada.
27. Hongbo Wang, Jie Cao, Jin Liu, Xiaoqiang Zhou, Huaibo Huang, Ran He, “Hallo3D: Multi-Modal Hallucination Detection and Mitigation for Consistent 3D Content Generation,” Proc. Conference on Neural Information Processing Systems, December 2024, Vancouver, Canada.
28. Yuqi Wang, Ke Cheng, Jiawei He, Qitai Wang, Hengchen Dai, Yuntao Chen, Fei Xia and Zhaoxiang Zhang, “DrivingDojo Dataset: Advancing Interactive and Knowledge-Enriched Driving World Model,” Proc. Conference on Neural Information Processing Systems, December 2024, Vancouver, Canada.
29. Yuang Ai, Xiaoqiang Zhou, Huaibo Huang, Xiaotian Han, Zhengyu Chen, Quanzeng You, Hongxia Yang, “DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curation,” Proc. Conference on Neural Information Processing Systems, December 2024, Vancouver, Canada.
30. Guowen Zhang, Lue Fan, Chenhang He, Zhen Lei, Zhaoxiang Zhang, Lei Zhang, “Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object Detection,” Proc. Conference on Neural Information Processing Systems, December 2024, Vancouver, Canada.
31. Haogeng Liu, Quanzeng You, Xiaotian Han, Yongfei Liu, Huaibo Huang, Ran He, Hongxia Yang, “Visual Anchors Are Strong Information Aggregators For Multimodal Large Language Model,” Proc. Conference on Neural Information Processing Systems, December 2024, Vancouver, Canada.
32. Keji He, Kehan Chen, Jiawang Bai, Yan Huang, Qi Wu, Shu-Tao Xia, Liang Wang, “Everyday Object Meets Vision-and-Language Navigation Agent via Backdoor,” Proc. Conference on Neural Information Processing Systems, December 2024, Vancouver, Canada.
33. Jiaheng Liu, Zehao Ni, Haoran Que, Tao Sun, Noah Wang, Jian Yang, Jiakai Wang, Hongcheng Guo, Zhongyuan Peng, Ge Zhang, Jiayi Tian, Xingyuan Bu, Ke Xu, Wenge Rong, Junran Peng, Zhaoxiang Zhang, “RoleAgent: Building, Interacting, and Benchmarking High-quality Role-Playing Agents from Scripts,” Proc. Conference on Neural Information Processing Systems, December 2024, Vancouver, Canada.
34. Liang Wang, Qiang Liu, Shaozhen Liu, Xin Sun, Shu Wu and Liang Wang, “Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-shot Molecular Property Prediction,” Proc. Conference on Neural Information Processing Systems, December 2024, Vancouver, Canada.
35. Dapeng Hu, Mi Luo, Jian Liang, and Chuan-Sheng Foo, “Towards Reliable Model Selection for Unsupervised Domain Adaptation: An Empirical Study and A Certified Baseline,” Proc. Conference on Neural Information Processing Systems (NeurIPS 2024) Track on Datasets and Benchmarks, December 2024, Vancouver, Canada.
36. Zhang Zhang, Da Li, Geng Wu, Yaoning Li, Xiaobing Sun, Liang Wang, “Love in Action: Gamifying Public Video Cameras for Fostering Social Relationships in Real World,” Proc. EAI International Conference on ArtsIT, Interactivity and Game Creation (EAI-ArtsIT) 2024, November 2024, Abu Dhabi, United Arab Emirates.
37. Kaile Du, Yifan Zhou, Fan Lyu, Yuyang Li, Chen Lu, Guangcan Liu, “Confidence self-calibration for multi-label class-incremental learning,” Proc. European Conference on Computer Vision, pp. 234-252, September 2024, Milan, Italy.
38. Yongcan Yu, Lijun Sheng, Ran He and Jian Liang, “STAMP: Outlier-Aware Test-Time Adaptation with Stable Memory Replay,” Proc. European Conference on Computer Vision, pp. 375-392, September 2024, Milan, Italy.
39. Hongxiao Yu, Yuqi Wang, Yuntao Chen, Zhaoxiang Zhang, “Monocular Occupancy Prediction for Scalable Indoor Scenes,” Proc. European Conference on Computer Vision, pp. 38-54, September 2024, Milan, Italy.
40. Dongze Li, Kang Zhao, Wei Wang, Yifeng Ma, Bo Peng, Yingya Zhang and Jing Dong, “Sˆ3D-NeRF: Single-Shot Speech-Driven Neural Radiance Field for High Fidelity Talking Head Synthesis,” Proc. European Conference on Computer Vision, pp. 365-382, September 2024, Milan, Italy.
41. Yang Liu, He Guan, Chuanchen Luo, Lue Fan, Naiyan Wang, Junran Peng, and Zhaoxiang Zhang, “CityGaussian: Real-time High-quality Large-Scale Scene Rendering with Gaussians,” Proc. European Conference on Computer Vision, pp. 265-282, September 2024, Milan, Italy.
42. Qitai Wang, Jiawei He, Yuntao Chen, Zhaoxiang Zhang, “OneTrack: Demystifying the Conflict between Detection and Tracking in End-to-End 3D Trackers,” Proc. European Conference on Computer Vision, pp. 387-404, September 2024, Milan, Italy.
43. Jilong Wang, Saihui Hou, Yan Huang, Chunshui Cao, Xu Liu, Yongzhen Huang, Tianzhu Zhang and Liang Wang, “Free Lunch for Gait Recognition: A Novel Relation Descriptor,” Proc. European Conference on Computer Vision, pp. 39-56, September 2024, Milan, Italy.
44. Guowen Zhang, Junsong Fan, Liyi Chen, Zhaoxiang Zhang, Zhen Lei, Lei Zhang, “General Geometry-Aware Weakly Supervised 3D Object Detection,” Proc. European Conference on Computer Vision, pp. 290-309, September 2024, Milan, Italy.
45. Pengfei Wang, Yuxi Wang, Shuai Li, Zhaoxiang Zhang, Zhen Lei, Lei Zhang, “Open Vocabulary 3D Scene Understanding via Geometry Guided Self-Distillation,” Proc. European Conference on Computer Vision, pp. 442-460, September 2024, Milan, Italy.
46. Jing Li, Junsong Fan, and Zhaoxiang Zhang, “Point-supervised Panoptic Segmentation via Estimating Pseudo Labels from Learnable Distance,” Proc. European Conference on Computer Vision, pp. 95-112, September 2024, Milan, Italy.
47. Zekun Moore Wang*, Zhongyuan Peng*, Haoran Que*, Jiaheng Liu†, Wangchunshu Zhou, Yuhan Wu, Hongcheng Guo, Ruitong Gan, Zehao Ni, Jian Yang, Man Zhang, Zhaoxiang Zhang, Wanli Ouyang, Ke Xu, Stephen W. Huang, Jie Fu, Junran Peng, “RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models,” Proc. Findings of the Association for Computational Linguistics, pp. 14743-14777, August 2024, Bangkok, Thailand.
48. Junfei Wu, Qiang Liu, Ding Wang, Jinghao Zhang, Shu Wu, Liang Wang, Tieniu Tan, “Logical closed loop: Uncovering object hallucinations in large vision-language models,” Proc. Findings of the Association for Computational Linguistics, pp. 6944–6962, August 2024, Bangkok, Thailand.
49. Yuqi Wang, Jiawei He, Lue Fan, Hongxin Li, Yuntao Chen, Zhaoxiang Zhang, “Driving into the Future: Multiview Visual Forecasting and Planning with World Model for Autonomous Driving,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 14749-14759, June 2024, Seattle WA, USA.
50. Yuqi Wang, Yuntao Chen, Xingyu Liao, Lue Fan, Zhaoxiang Zhang, “Panoocc: Unified occupancy representation for camera-based 3d panoptic segmentation,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 17158-17168, June 2024, Seattle WA, USA.
51. Hongbo Zhao, Bolin Ni, Junsong Fan, Yuxi Wang, Yuntao Chen, Gaofeng Meng and Zhaoxiang Zhang, “Continual forgetting for pre-trained vision models,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 28631-28642, June 2024, Seattle WA, USA.
52. Hongxin Li, Zeyu Wang, Xu Yang, Yuran Yang, Shuqi Mei, Zhaoxiang Zhang, “MemoNav: Working Memory Model for Visual Navigation,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 17913-17922, June 2024, Seattle WA, USA.
53. Haokun Lin, Haoli Bai, Zhili Liu, Lu Hou, Muyi Sun, Linqi Song, Ying Wei, Zhenan Sun, “MoPE-CLIP: Structured Pruning for Efficient Vision-Language Models with Module-wise Pruning Error Metric,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 27370-27380, June 2024, Seattle WA, USA.
54. Yan Huang, Zhang Zhang, Qiang Wu, Yi Zhong, Liang Wang, “Attribute-Guided Pedestrian Retrieval: Bridging Person Re-ID with Internal Attribute Variability,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 17689-17699, June 2024, Seattle WA, USA.
55. Yunan Zeng, Yan Huang, Jinjin Zhang, Zequn Jie, Zhenhua Chai, Liang Wang, “Investigating Compositional Challenges in Vision-Language Models for Visual Grounding,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 14141-14151, June 2024, Seattle WA, USA.
56. Qihang Fan, Huaibo Huang, Mingrui Chen, Hongmin Liu, Ran He, “RMT: Retentive Networks Meet Vision Transformers,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 5641-5651, June 2024, Seattle WA, USA.
57. Jiaqi Liao, Chuanchen Luo, Yinuo Du, Yuxi Wang, Xucheng Yin, Man Zhang, Zhaoxiang Zhang, Junran Peng, “HardMo: A Large-Scale Hardcase Dataset for Motion Capture,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 1629-1638, June 2024, Seattle WA, USA.
58. Bolin Ni, Hongbo Zhao, Chenghao Zhang, Ke Hu, Gaofeng Meng, Zhaoxiang Zhang, Shiming Xiang, “Enhancing Visual Continual Learning with Language-Guided Supervision,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 24068-24077, June 2024, Seattle WA, USA.
59. Yuang Ai, Huaibo Huang, Xiaoqiang Zhou, Jiexiang Wang, Ran He, “Multimodal Prompt Perceiver: Empower Adaptiveness Generalizability and Fidelity for All-in-One Image Restoration,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 25432-25444, June 2024, Seattle WA, USA.
60. Yuang Ai, Xiaoqiang Zhou, Huaibo Huang, Lei Zhang, Ran He, “Uncertainty-Aware Source-Free Adaptive Image Super-Resolution with Wavelet Augmentation Transformer,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 8142-8152, June 2024, Seattle WA, USA.
61. Jiyang Guan, Jian Liang, and Ran He, “Backdoor Defense via Test-Time Detecting and Repairing,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 24564-24573, June 2024, Seattle WA, USA.
62. Huanhuan Ma, Jinghao Zhang, Qiang Liu, Shu Wu, Liang Wang, “Interpretable Multimodal Out-of-Context Detection with Soft Logic Regularization,” Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 4740-4744, April 2024, Seoul, Korea.
63. Zi Wang, Huaibo Huang, Aihua Zheng, Chenglong Li, Ran He, “Parallel Augmentation and Dual Enhancement for Occluded Person Re-Identification,” Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 3590-3593, April 2024, Seoul, Korea.
64. Yexiang Liu, Jin Liu, Jie Cao, Junxian Duan, Ran He, “PortraitDAE: Line-Drawing Portraits Style Transfer from Photos via Diffusion Autoencoder with Meaningful Encoded Noise,” Proc. IEEE International Conference on Automatic Face and Gesture Recognition, May 2024, Istanbul, Turkey.
65. Wei Zhang, Huiru Xie, Qi Li, Zhenan Sun, “DCAPose: Improve One-Stage Multi-Person Pose Estimation with Dynamic Center Assignment,” Proc. IEEE International Conference on Automatic Face and Gesture Recognition, May 2024, Istanbul, Turkey.
66. Huimin Zhao, Xiaoqiang Zhou, Jie Cao, Huaibo Huang, Aihua Zheng, Ran He, “Semantic-Aware Detail Enhancement for Blind Face Restoration,” Proc. IEEE International Conference on Automatic Face and Gesture Recognition, May 2024, Istanbul, Turkey.
67. Yang Li, Songlin Yang, Wei Wang, Ziwen He, Bo Peng, Jing Dong, “Counterfactual Explanations for Face Forgery Detection via Adversarial Removal of Artifacts,” Proc. IEEE International Conference on Multimedia and Expo, July 2024, Niagara Falls, ON, Canada.
68. Kaiduo Zhang, Muyi Sun, Junxing Hu, Kunbo Zhang, Zhenan Sun, “EditHuman: Fine-Grained Text-Driven Human Video Editing,” Proc. IEEE International Joint Conference on Biometrics, September 2024, New York, USA.
69. Yuxue Yang, Lue Fan, Zhaoxiang Zhang, “MixSup: Mixed-grained Supervision for Label-efficient LiDAR-based 3D Object Detection,” Proc. International Conference on Learning Representations, May 2024, Vienna, Austria.
70. Zhengbo Wang, Jian Liang, Lijun Sheng, Ran He, Zilei Wang, Tieniu Tan, “A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation,” Proc. International Conference on Learning Representations, May 2024, Vienna, Austria.
71. Yanbo Wang, Jian Liang, Ran He, “Towards Eliminating Hard Label Constraints in Gradient Inversion Attacks,” Proc. International Conference on Learning Representations, May 2024, Vienna, Austria.
72. Yingtao Zhang, Haoli Bai, Haokun Lin, Jialin Zhao, Lu Hou, Carlo Vittorio Cannistraci, “Plug-and-Play: An Efficient Post-training Pruning Method for Large Language Models,” Proc. International Conference on Learning Representations, May 2024, Vienna, Austria.
73. Yingqing He, Shaoshu Yang, Haoxin Chen, Xiaodong Cun, Menghan Xia, Yong Zhang, Xintao Wang, Ran He, Qifeng Chen, Ying Shan, “ScaleCrafter: Tuning-free Higher-Resolution Visual Generation with Diffusion Models,” Proc. International Conference on Learning Representations, May 2024, Vienna, Austria.
74. Junchi Yu, Ran He, Zhitao Ying, “Thought Propagation: an Analogical Approach to Complex Reasoning with Large Language Models,” Proc. International Conference on Learning Representations, May 2024, Vienna, Austria.
75. Zhengbo Wang, Jian Liang, Ran He, Zilei Wang, and Tieniu Tan, “Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models,” Proc. International Conference on Machine Learning, July 2024, Vienna, Austria.
76. Jian Liang, Lijun Sheng, Zhengbo Wang, Ran He, and Tieniu Tan, “Realistic Unsupervised CLIP Fine-tuning with Universal Entropy Optimization,” Proc. International Conference on Machine Learning, July 2024, Vienna, Austria.
77. Dapeng Hu, Jian Liang, Xinchao Wang, and Chuan-Sheng Foo, “International Conference on Machine Learning,” Proc. International Conference on Machine Learning, July 2024, Vienna, Austria.
78. Beibei Dong, Bo Peng and Jing Dong, “SPI2I: Structure-Preserved Image-to-Image Translation with Diffusion Models,” Proc. International Conference on Pattern Recognition, pp. 143-159, December 2024, Kolkata, India.
79. Zetao Du, Jianhua Yang, Junbo Wang, Yan Huang, and Liang Wang, “SPK: Semantic and Positional Knowledge for Zero-Shot Referring Expression Comprehension,” Proc. International Conference on Pattern Recognition, pp. 280-295, December 2024, Kolkata, India.
80. Jianshu Zeng, Chi Zhang, “Distill the Knowledge of Multimodal Large Language Model into Text-to-Image Vehicle Re-identification,” Proc. International Conference on Pattern Recognition, pp. 341-357, December 2024, Kolkata, India.
81. Tianxiang Ma, Kang Zhao, Jianxin Sun, Yingya Zhang, Jing Dong, “Freestyle 3D-Aware Portrait Synthesis Based on Compositional Generative Priors,” Proc. International Conference on Pattern Recognition, pp. 98-113, December 2024, Kolkata, India.
82. Li Dinghang, Zongqing Lu, Weiliang Zheng, Qingmin Liao, Fan Lyu, “MetaMask: Improving Few-Shot Semantic Segmentation via Multi-Mask Calibration,” Proc. International Joint Conference on Neural Networks, June 2024, Yokohama, Japan.
83. Xianglu Zhu, Zhang Zhang, Wei Wang, Zilei Wang and Liang Wang, “Learning Energy-Based Models for 3D Human Pose Estimation,” Proc. International Joint Conference on Neural Networks, June 2024, Yokohama, Japan.
84. Liang Wang, Hao Fu, Shu Wu, Qiang Liu, Xuelei Tan, Fangsheng Huang, Mengdi Zhang and Wei Wu, “CAMLO: Cross-Attentive Multi-View Network for Long-Term Origin-Destination Flow Prediction,” Proc. SIAM International Conference on Data Mining, pp. 454-462, April 2024, Houston, USA.