Learning dynamic siamese network for visual object tracking
Qing Guo, Wei Feng*, Ce Zhou, Rui Huang, Liang Wan, Song Wang
个人简介
冯伟，磁力狗 讲席教授，磁力狗 副主任，计算机科学与技术磁力狗 院长，国家级科技领军人才，重点研发计划项目首席科学家，国家文物局“文物本体表面监测与分析研究”重点科研基地负责人，中国图象图形学学会遥感图像专委会副主任。主要从事计算机视觉、视觉机器人、机器学习领域的研究，发表包括TPAMI、IJCV、TIP、CVPR、ICCV在内的学术论文100余篇，以第一发明人授权专利30项。在开放环境微变视觉感知和多视角视频协同分析方向的研究成果，广泛应用于敦煌、故宫、兵马俑等数十个文化遗产地和博物馆，入选国家“十三五”科技创新成就展，获2024年中国人工智能学会博士学位论文激励计划指导教师，中国国际大学生创新大赛（2023）国赛金奖导师。
实验室长期招聘全职科研人员、博士后及研究生，有意者请邮件联系。
研究兴趣
- 主动视觉定位
- 主动三维场景感知
- 视频分析和通用模式识别
最新动态
2025年6月: 石同凯的研究工作“GReg: Geometry-aware region refinement for sign language video generation”被ICCV 2025录用；
2025年6月: 钱泽坤的研究工作“COVTrack: Continuous open-vocabulary multi-object tracking via adaptive multi-cue fusion”被ICCV 2025录用；项目详见
2025年6月: 钱泽坤的研究工作“VOVTrack: Exploring the potentiality in raw videos for open-vocabulary multi-object tracking”被ICCV 2025录用；
2025年6月: 张麒的研究工作“SU-RGS: Relightable 3D gaussian splatting from sparse views under unconstrained illuminations”被ICCV 2025录用；
2025年6月: 章成超的研究工作“FedAGC: Federated continual learning with asymmetric gradient correction”被ICCV 2025录用；
2025年5月: 刘俊康的研究工作“Improving generalization in federated learning with highly heterogeneous data via momentum-based stochastic controlled weight averaging”被ICML 2025录用；
2025年5月: 张向群的研究工作“Synthetic-To-Real Video Person Re-ID”被IEEE Transactions on Information Forensics and Security录用；项目详见
2025年3月: 张麒的研究工作“Generative Hard Example Augmentation for Semantic Point Cloud Segmentation”被CVPR 2025录用；
2025年3月: 王正阳的研究工作“Dual Semantic Guidence for Open Vocabulary Semantic Segmentation”被CVPR 2025录用；
2025年3月: 尹红梅的研究工作“Beyond Background Shift: Rethinking Instance Replay in Continual Semantic Segmentation”被CVPR 2025录用；
2025年2月: 王立凯的研究工作“A New Benchmark and Algorithm for Clothes-Changing Video Person Re-Identification”被IEEE Transactions on Information Forensics and Security录用；项目详见
2024年11月: 张麒的研究工作“Learning Geometry Consistent Neural Radiance Fields from Sparse and Unposed Views”被ACM MM 2025录用；
2024年9月: 冯伟的研究工作“Unveiling the Power of Self-supervision for Multi-view Multi-human Association”被IEEE Transactions on Pattern Analysis and Machine Intelligence录用；项目详见
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学术论文
†为共同第一作者
*为通讯作者
代表性学术论文
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