A cluster specific latent dirichlet allocation model for trajectory clustering in crowded videos. - Jialing Zou; Yanting Cui; Fang Wan 001; Qixiang Ye; Jianbin Jiao (ICIP, 2014)

Texture Complexity Based Redundant Regions Ranking for Object Proposal. - Wei Ke 003; Tianliang Zhang; Jie Chen 001; Fang Wan 001; Qixiang Ye; Zhenjun Han (CVPR Workshops, 2016)

Weakly supervised object detection with correlation and part suppression. - Fang Wan 001; Pengxu Wei; Zhenjun Han; Kun Fu 001; Qixiang Ye (ICIP, 2016)

Collective motion pattern inference via Locally Consistent Latent Dirichlet Allocation. - Jialing Zou; Qixiang Ye; Yanting Cui; Fang Wan 001; Kun Fu 001; Jianbin Jiao (Neurocomputing, 2016)

Correlated Topic Vector for Scene Classification. - Pengxu Wei; Fei Qin; Fang Wan 001; Yi Zhu 004; Jianbin Jiao; Qixiang Ye (IEEE Trans. Image Process., 2017)

Utilizing the Instability in Weakly Supervised Object Detection. - Boxiao Liu; Yan Gao 017; Nan Guo; Xiaochun Ye; Fang Wan 001; Haihang You; Dongrui Fan (CVPR Workshops, 2019)

Parametric Skeleton Generation via Gaussian Mixture Models. - Chang Liu 042; Dezhao Luo; Yifei Zhang 005; Wei Ke 003; Fang Wan 001; Qixiang Ye (CVPR Workshops, 2019)

Orthogonal Decomposition Network for Pixel-Wise Binary Classification. - Chang Liu 042; Fang Wan 001; Wei Ke 003; Zhuowei Xiao; Yuan Yao; Xiaosong Zhang 004; Qixiang Ye (CVPR, 2019)

SIXray: A Large-Scale Security Inspection X-Ray Benchmark for Prohibited Item Discovery in Overlapping Images. - Caijing Miao; Lingxi Xie; Fang Wan 001; Chi Su; Hongye Liu; Jianbin Jiao; Qixiang Ye (CVPR, 2019)

C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection. - Fang Wan 001; Chang Liu 042; Wei Ke 003; Xiangyang Ji; Jianbin Jiao; Qixiang Ye (CVPR, 2019)

DANet: Divergent Activation for Weakly Supervised Object Localization. - Haolan Xue; Chang Liu 042; Fang Wan 001; Jianbin Jiao; Xiangyang Ji; Qixiang Ye (ICCV, 2019)

C-MIDN: Coupled Multiple Instance Detection Network With Segmentation Guidance for Weakly Supervised Object Detection. - Gao Yan; Boxiao Liu; Nan Guo; Xiaochun Ye; Fang Wan 001; Haihang You; Dongrui Fan (ICCV, 2019)

FreeAnchor: Learning to Match Anchors for Visual Object Detection. - Xiaosong Zhang 004; Fang Wan 001; Chang Liu 042; Rongrong Ji; Qixiang Ye (NeurIPS, 2019)

Min-Entropy Latent Model for Weakly Supervised Object Detection. - Fang Wan 001; Pengxu Wei; Zhenjun Han; Jianbin Jiao; Qixiang Ye (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Agreement-Discrepancy-Selection: Active Learning with Progressive Distribution Alignment. - Mengying Fu; Tianning Yuan; Fang Wan 001; Songcen Xu; Qixiang Ye (AAAI, 2021)

Nearest Neighbor Classifier Embedded Network for Active Learning. - Fang Wan 001; Tianning Yuan; Mengying Fu; Xiangyang Ji; Qingming Huang; Qixiang Ye (AAAI, 2021)

Strengthen Learning Tolerance for Weakly Supervised Object Localization. - Guangyu Guo; Junwei Han 001; Fang Wan 001; Dingwen Zhang (CVPR, 2021)

Multiple Instance Active Learning for Object Detection. - Tianning Yuan; Fang Wan 001; Mengying Fu; Jianzhuang Liu; Songcen Xu; Xiangyang Ji; Qixiang Ye (CVPR, 2021)

TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization. - Wei Gao; Fang Wan 001; Xingjia Pan; Zhiliang Peng; Qi Tian 001; Zhenjun Han; Bolei Zhou; Qixiang Ye (ICCV, 2021)

Weakly Supervised Learning of Instance Segmentation with Confidence Feedback. - Yu Yang 011; Fang Wan 001; Qixiang Ye; Xiangyang Ji (CICAI (1), 2022)

End-to-End Weakly Supervised Object Detection with Sparse Proposal Evolution. - Mingxiang Liao; Fang Wan 001; Yuan Yao; Zhenjun Han; Jialing Zou; Yuze Wang 004; Bailan Feng; Peng Yuan; Qixiang Ye (ECCV (9), 2022)

Integral Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection. - Xiaosong Zhang 004; Feng Liu 050; Zhiliang Peng; Zonghao Guo; Fang Wan 001; Xiangyang Ji; Qixiang Ye (CoRR, 2022)

Learning to Match Anchors for Visual Object Detection. - Xiaosong Zhang 004; Fang Wan 001; Chang Liu 047; Xiangyang Ji; Qixiang Ye (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Discrepant multiple instance learning for weakly supervised object detection. - Wei Gao; Fang Wan 001; Jun Yue; Songcen Xu; Qixiang Ye (Pattern Recognit., 2022)

Domain Contrast for Domain Adaptive Object Detection. - Feng Liu 050; Xiaosong Zhang 004; Fang Wan 001; Xiangyang Ji; Qixiang Ye (IEEE Trans. Circuits Syst. Video Technol., 2022)

Adversarial Prototype Learning for Hyperspectral Image Classification. - Shuai Wang 011; Bo Du 001; Dingwen Zhang; Fang Wan 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Part-Based Semantic Transform for Few-Shot Semantic Segmentation. - Boyu Yang 002; Fang Wan 001; Chang Liu 047; Bohao Li; Xiangyang Ji; Qixiang Ye (IEEE Trans. Neural Networks Learn. Syst., 2022)

Continuation Multiple Instance Learning for Weakly and Fully Supervised Object Detection. - Qixiang Ye; Fang Wan 001; Chang Liu 047; Qingming Huang; Xiangyang Ji (IEEE Trans. Neural Networks Learn. Syst., 2022)

AttentionShift: Iteratively Estimated Part-Based Attention Map for Pointly Supervised Instance Segmentation. - Mingxiang Liao; Zonghao Guo; Yuze Wang 004; Peng Yuan; Bailan Feng; Fang Wan 001 (CVPR, 2023)

Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection. - Feng Liu 050; Xiaosong Zhang 004; Zhiliang Peng; Zonghao Guo; Fang Wan 001; Xiangyang Ji; Qixiang Ye (ICCV, 2023)

Generative Prompt Model for Weakly Supervised Object Localization. - Yuzhong Zhao; Qixiang Ye; Weijia Wu 001; Chunhua Shen; Fang Wan 001 (ICCV, 2023)

Multiple Instance Differentiation Learning for Active Object Detection. - Fang Wan 001; Qixiang Ye; Tianning Yuan; Songcen Xu; Jianzhuang Liu; Xiangyang Ji; Qingming Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Ray Denoising: Depth-Aware Hard Negative Sampling for Multi-view 3D Object Detection. - Feng Liu 050; Tengteng Huang; Qianjing Zhang; Haotian Yao; Chi Zhang; Fang Wan 001; Qixiang Ye; Yanzhao Zhou (ECCV (49), 2024)

ControlCap: Controllable Region-Level Captioning. - Yuzhong Zhao; Yue Liu; Zonghao Guo; Weijia Wu 001; Chen Gong 005; Qixiang Ye; Fang Wan 001 (ECCV (38), 2024)

Evaluation of Text-to-Video Generation Models: A Dynamics Perspective. - Mingxiang Liao; Hannan Lu; Qixiang Ye; Wangmeng Zuo; Fang Wan 001; Tianyu Wang; Yuzhong Zhao; Jingdong Wang 001; Xinyu Zhang 017 (NeurIPS, 2024)

Controllable Dense Captioner with Multimodal Embedding Bridging. - Yuzhong Zhao; Yue Liu; Zonghao Guo; Weijia Wu 001; Chen Gong 005; Qixiang Ye; Fang Wan 001 (CoRR, 2024)

DynRefer: Delving into Region-level Multi-modality Tasks via Dynamic Resolution. - Yuzhong Zhao; Feng Liu 050; Yue Liu; Mingxiang Liao; Chen Gong 005; Qixiang Ye; Fang Wan 001 (CoRR, 2024)

Correspondence-Guided SfM-Free 3D Gaussian Splatting for NVS. - Wei Sun; Xiaosong Zhang 004; Fang Wan 001; Yanzhao Zhou; Yuan Li 055; Qixiang Ye; Jianbin Jiao (CoRR, 2024)

TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization. - Yuan Yao; Fang Wan 001; Wei Gao; Xingjia Pan; Zhiliang Peng; Qi Tian 001; Qixiang Ye (IEEE Trans. Neural Networks Learn. Syst., 2024)

Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model. - Feng Liu 050; Shiwei Zhang 001; Xiaofeng Wang; Yujie Wei 001; Haonan Qiu; Yuzhong Zhao; Yingya Zhang; Qixiang Ye; Fang Wan 001 (CVPR, 2025)

DynRefer: Delving into Region-level Multimodal Tasks via Dynamic Resolution. - Yuzhong Zhao; Feng Liu 050; Yue Liu; Mingxiang Liao; Chen Gong 005; Qixiang Ye; Fang Wan 001 (CVPR, 2025)

Geometric-Mean Policy Optimization. - Yuzhong Zhao; Yue Liu; Junpeng Liu; Jingye Chen; Xun Wu; Yaru Hao; Tengchao Lv; Shaohan Huang; Lei Cui 001; Qixiang Ye; Fang Wan 001; Furu Wei (CoRR, 2025)

Hierarchical AttentionShift for Pointly Supervised Instance Segmentation. - Mingxiang Liao; Fang Wan 001; Zonghao Guo; Qixiang Ye (IEEE Trans. Neural Networks Learn. Syst., 2025)