| 2025 | CVPR | CocoER: Aligning Multi-Level Feature by Competition and Coordination for Emotion Recognition. | Xuli Shen, Hua Cai, Weilin Shen, Qing Xu, Dingding Yu, Weifeng Ge, Xiangyang Xue |
| 2025 | EMNLP | Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models. | Haibo Wang, Zhiyang Xu, Yu Cheng, Shizhe Diao, Yufan Zhou, Yixin Cao, Qifan Wang, Weifeng Ge, Lifu Huang |
| 2025 | ICCV | Synthesizing Near-Boundary OOD Samples for Out-of-Distribution Detection. | Jinglun Li, Kaixun Jiang, Zhaoyu Chen, Bo Li, Yao Tang, Weifeng Ge, Wenqiang Zhang |
| 2025 | ICCV | DeFSS: Image-to-Mask Denoising Learning for Few-Shot Segmentation. | Zishu Qin, Junhao Xu, Weifeng Ge |
| 2025 | IROS | GTAD: Global Temporal Aggregation Denoising Learning for 3D Semantic Occupancy Prediction. | Tianhao Li, Yang Li, Mengtian Li, Yisheng Deng, Weifeng Ge |
| 2024 | CVPR | Pixel-Level Semantic Correspondence Through Layout-Aware Representation Learning and Multi-Scale Matching Integration. | Yixuan Sun, Zhangyue Yin, Haibo Wang, Yan Wang, Xipeng Qiu, Weifeng Ge, Wenqiang Zhang |
| 2024 | ECCV | Q&A Prompts: Discovering Rich Visual Clues through Mining Question-Answer Prompts for VQA requiring Diverse World Knowledge. | Haibo Wang, Weifeng Ge |
| 2023 | AAAI | RankDNN: Learning to Rank for Few-Shot Learning. | Qianyu Guo, Haotong Gong, Xujun Wei, Yanwei Fu, Yizhou Yu, Wenqiang Zhang, Weifeng Ge |
| 2023 | ACL | Improving Empathetic Dialogue Generation by Dynamically Infusing Commonsense Knowledge. | Hua Cai, Xuli Shen, Qing Xu, Weilin Shen, Xiaomei Wang, Weifeng Ge, Xiaoqing Zheng, Xiangyang Xue |
| 2023 | ACL | Characterizing the Impacts of Instances on Robustness. | Rui Zheng, Zhiheng Xi, Qin Liu, Wenbin Lai, Tao Gui, Qi Zhang, Xuanjing Huang, Jin Ma, Ying Shan, Weifeng Ge |
| 2023 | CVPR | MISC210K: A Large-Scale Dataset for Multi-Instance Semantic Correspondence. | Yixuan Sun, Yiwen Huang, Haijing Guo, Yuzhou Zhao, Runmin Wu, Yizhou Yu, Weifeng Ge, Wenqiang Zhang |
| 2023 | CVPR | Correspondence Transformers with Asymmetric Feature Learning and Matching Flow Super-Resolution. | Yixuan Sun, Dongyang Zhao, Zhangyue Yin, Yiwen Huang, Tao Gui, Wenqiang Zhang, Weifeng Ge |
| 2023 | ICCV | Weakly Supervised Learning of Semantic Correspondence through Cascaded Online Correspondence Refinement. | Yiwen Huang, Yixuan Sun, Chenghang Lai, Qing Xu, Xiaomei Wang, Xuli Shen, Weifeng Ge |
| 2023 | ICCV | Hierarchical Visual Categories Modeling: A Joint Representation Learning and Density Estimation Framework for Out-of-Distribution Detection. | Jinglun Li, Xinyu Zhou, Pinxue Guo, Yixuan Sun, Yiwen Huang, Weifeng Ge, Wenqiang Zhang |
| 2022 | CVPR | Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning. | Yangji He, Weihan Liang, Dongyang Zhao, Hong-Yu Zhou, Weifeng Ge, Yizhou Yu, Wenqiang Zhang |
| 2022 | CVPR | FERV39k: A Large-Scale Multi-Scene Dataset for Facial Expression Recognition in Videos. | Yan Wang, Yixuan Sun, Yiwen Huang, Zhongying Liu, Shuyong Gao, Wei Zhang, Weifeng Ge, Wenqiang Zhang |
| 2022 | ICDM | Towards Scalable and Fast Distributionally Robust Optimization for Data-Driven Deep Learning. | Xuli Shen, Xiaomei Wang, Qing Xu, Weifeng Ge, Xiangyang Xue |
| 2021 | ICCV | GraphFPN: Graph Feature Pyramid Network for Object Detection. | Gangming Zhao, Weifeng Ge, Yizhou Yu |
| 2021 | ICCV | Multi-scale Matching Networks for Semantic Correspondence. | Dongyang Zhao, Ziyang Song, Zhenghao Ji, Gangming Zhao, Weifeng Ge, Yizhou Yu |
| 2019 | CVPR | Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification From the Bottom Up. | Weifeng Ge, Xiangru Lin, Yizhou Yu |
| 2019 | ICCV | Label-PEnet: Sequential Label Propagation and Enhancement Networks for Weakly Supervised Instance Segmentation. | Weifeng Ge, Weilin Huang, Sheng Guo, Matthew R. Scott |
| 2018 | CVPR | Multi-Evidence Filtering and Fusion for Multi-Label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning. | Weifeng Ge, Sibei Yang, Yizhou Yu |
| 2018 | ECCV | Deep Metric Learning with Hierarchical Triplet Loss. | Weifeng Ge, Weilin Huang, Dengke Dong, Matthew R. Scott |
| 2017 | CVPR | Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-Tuning. | Weifeng Ge, Yizhou Yu |
| 2014 | ICPR | Background Subtraction with Dynamic Noise Sampling and Complementary Learning. | Weifeng Ge, Yuhan Dong, Zhenhua Guo, Youbin Chen |