基本信息

万方  男    计算机科学与技术学院  
中国科学院大学长聘教轨助理教授,博士生导师,博士后创新人才支持计划获得者、中国科学院百篇优秀博士论文。研究方向为计算机视觉,以监督信息不完备条件下的目标感知方法为主,如弱监督目标检测、主动学习目标检测等。发表包括IEEE CVPR, ICCV, NeurIPS, AAAI、ECCV等国际会议与TPAMI, TNNLS, TIP, TCSVT、PR、TGRS等国际期刊20余篇。获得中国电子学会自然科学奖一等奖1项,中国科学院院长奖1项,主持国家自然科学基金青年基金1项,主持华为诺亚方舟实验室科研项目1项,参与包括国自然重点、面上项目等项目5项。

电子邮件: wanfang@ucas.ac.cn
通信地址: 北京市怀柔区怀北镇380号中国科学院大学学园二273
邮政编码: 101408


研究领域

计算机视觉

监督信息不完备条件下的机器学习算法研究

视觉目标检测

教育和工作经历

2021.12--至今    中国科学院大学 长聘教轨助理教授

2019.07--2021.12    中国科学院大学   博士后

2019.03--2019.06    微软亚洲研究院   博士实习生


2016.09--2019.06   中国科学院大学   博士研究生

2013.09--2016.06   中国科学院大学   硕士研究生

2009.09--2013.06   武汉大学  本科

专利与奖励

   
专利成果
[1] 叶齐祥, 袁天宁, 万方, 付梦莹, 焦建彬. 一种用于目标检测的多示例主动学习方法. CN: CN113177576A, 2021-07-27.
[2] 韩振军, 张如飞, 王攀, 余学辉, 宫宇琦, 蒋楠, 韩许盟, 彭潇珂, 王岿然, 焦建彬, 叶齐祥, 万方. 一种基于无监督深度孪生网络的视频去重方法. CN: CN111506773B, 2021-03-30.
[3] 叶齐祥, 姚远, 万方, 张砚, 焦建彬, 韩振军. 一种基于帧率感知的自监督视频时-空表征学习方法. CN: CN111488932B, 2021-03-16.
[4] 叶齐祥, 张小松, 万方, 马金戈, 季向阳. 一种基于特征匹配优化的无锚框目标检测网络训练方法. CN: CN112001428A, 2020-11-27.
[5] 韩振军, 宫宇琦, 余学辉, 吴狄, 蒋楠, 韩许盟, 彭潇珂, 王岿然, 陈鹏飞, 黄智勋, 焦建彬, 叶齐祥, 万方. 基于FPN的融合因子的弱小目标检测方法. CN: CN111950612A, 2020-11-17.
[6] 韩振军, 蒋楠, 余学辉, 陈鹏飞, 宫宇琦, 韩许盟, 彭潇珂, 王岿然, 吴狄, 黄智勋, 焦建彬, 叶齐祥, 万方. 基于精确尺度匹配的弱小人体目标检测方法. CN: CN111950610A, 2020-11-17.
[7] 叶齐祥, 刘峰, 张小松, 万方, 季向阳. 一种基于对比损失的域自适应物体检测方法. CN: CN111950608A, 2020-11-17.
[8] 叶齐祥, 杨博宇, 刘畅, 万方, 韩振军, 焦建彬. 一种基于混合模型的小样本图像语义分割方法. CN: CN111583284A, 2020-08-25.
[9] 韩振军, 余学辉, 宫宇琦, 蒋楠, 韩许盟, 彭潇珂, 王岿然, 焦建彬, 叶齐祥, 万方. 一种基于尺度匹配的弱小人物目标检测方法. CN: CN110728214B, 2020-08-18.
[10] 韩振军, 韩许盟, 余学辉, 宫宇琦, 蒋楠, 彭潇珂, 王岿然, 焦建彬, 叶齐祥, 万方. 基于多源信息融合的弱小目标检测方法. CN: CN111489330A, 2020-08-04.
[11] 焦建彬, 丁瑶, 叶齐祥, 韩振军, 万方. 一种基于选择性稀疏采样的细粒度图像分类方法. CN: CN110738247A, 2020-01-31.
[12] 叶齐祥, 付梦莹, 万方, 韩振军, 焦建彬. 一种基于网络监督的目标分类和定位方法. CN: CN110717534A, 2020-01-21.
[13] 万方, 薛昊岚, 刘畅, 付梦莹, 叶齐祥, 韩振军, 焦建彬. 一种基于分歧学习的弱监督目标分类和定位方法. CN: CN110689081A, 2020-01-14.
[14] 焦建彬, 崔妍婷, 邹佳凌, 万方, 叶齐祥, 韩振军. 基于集群轨迹分类的集群场景智能监控方法及系统. 中国: CN104717468B, 2018-09-14.

出版信息

   
发表论文
[1] Gao, Wei, Wan, Fang, Pan, Xingjia, Peng, Zhiliang, Tian, Qi, Han, Zhenjun, Zhou, Bolei, Ye, Qixiang. TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization. IEEE ICCV[J]. 2021, http://arxiv.org/abs/2103.14862.
[2] Yuan, Tianning, Wan, Fang, Fu, Mengying, Liu, Jianzhuang, Xu, Songcen, Ji, Xiangyang, Ye, Qixiang. Multiple instance active learning for object detection. 2021, http://arxiv.org/abs/2104.02324.
[3] Liu, Feng, Zhang, Xiaoxong, Wan, Fang, Ji, Xiangyang, Ye, Qixiang. Domain Contrast for Domain Adaptive Object Detection. 2020, http://arxiv.org/abs/2006.14863.
[4] Luo, Zhekun, Guillory, Devin, Shi, Baifeng, Ke, Wei, Wan, Fang, Darrell, Trevor, Xu, Huijuan. Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning. 2020, http://arxiv.org/abs/2004.00163.
[5] Zhang Xiaosong, Wan Fang, Liu Chang, Ji Rongrong, Ye Qixiang. FreeAnchor: Learning to Match Anchors for Visual Object Detection. 2019, http://arxiv.org/abs/1909.02466.
[6] Gao Yan, Liu Boxiao, Guo Nan, Ye Xiaochun, Wan Fang, You Haihang, Fan Dongrui. Utilizing the Instability in Weakly Supervised Object Detection. 2019, http://arxiv.org/abs/1906.06023.

出版信息

1.   Fang Wan, Pengxu Wei, Jianbin Jiao, Zhenjun Han and Qixiang Ye. Min-Entropy Latent Model for Weakly Supervised Object Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019 (CCF A类期刊,模式识别与计算机视觉领域国际顶级期刊,影响因子17.86)

2. Wei Gao, Fang Wan*, Jun Yue, Songcen Xu, Qixiang Ye. Discrepant Multiple Instance Learning for Weakly Supervised Object Detection. Pattern Recognition, 2021SCI一区,IF8.793, 通讯作者

3. Wei Gao, Fang Wan*, Xingjia Pan, Zhiliang Peng, Qi Tian, Zhenjun Han, Bolei Zhou, Qixiang Ye*. TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization. IEEE International Conference on Computer Vision (ICCV), 2021. (CCF A类会议,计算机视觉领域国际顶级会议, 通讯作者)

4. Qixiang Ye, Fang Wan*, Chang Liu, Qingming Huang, Xiangyang Ji. (2021). Continuation Multiple Instance Learning for Weakly and Fully Supervised Object Detection. IEEE Transactions on Neural Networks and Learning Systems (TNNLS). Early Access, 1-15. SCI一区,IF8.793, 通讯作者

5. Boyu Yang, Fang Wan*, Chang Liu, Bohao Li, Xiangyang Ji, Qixiang Ye. (2021). Part-Based Semantic Transform for Few-Shot Semantic Segmentation. IEEE Transactions on Neural Networks and Learning Systems (TNNLS). Early Access, 1-15. SCI一区,IF8.793, 通讯作者

6. Fang Wan, Chang Liu, Wei Ke, Xiangyang Ji, Jianbin Jiao and Qixiang Ye. C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, USA, 2019 (CCF A类会议Oral论文,计算机视觉领域国际顶级会议, Oral接受率仅为~6%)

7.  Fang Wan, Pengxu Wei, Jianbin Jiao, Zhenjun Han and Qixiang Ye. Min-Entropy Latent Model for Weakly Supervised Object Detection. International Conference on Computer Vision and Pattern Recognition (CVPR), 2018 (CCF A类会议,计算机视觉领域国际顶级会议)

8. Tianning Yuan, Fang Wan*, Mengying Fu, Jianzhuang Liu, Songcen Xu, Xiangyang Ji and Qixiang Ye*. (2021). Multiple Instance Active Learning for Object Detection. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). (CCF A类会议,计算机视觉领域国际顶级会议,通讯作者)

9. Mengying Fu, Tianning Yuan, Fang Wan*, Songcen Xu, and Qixiang Ye*. Agreement-Discrepancy-Selection: Active Learning with Progressive Distribution Alignment. Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), 2021 (CCF A类会议,人工智能领域国际顶级会议,通讯作者)

10.  Zhekun Luo, Devin Guillory, Baifeng Shi, Wei Ke, Fang Wan, Trevor Darrell, Huijuan Xu, Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning, European Conference on Computer Vision, (ECCV) 2020 (CCF A类会议,计算机视觉领域国际顶级会议)

11.  Haolan Xue, Chang Liu, Fang Wan*, Jianbin Jiao, Qixiang Ye*.DANet: Divergent Activation for Weakly Supervised Object Localization. IEEE International Conference on Computer Vision (ICCV), 2019. (CCF A类会议,计算机视觉领域国际顶级会议, 通讯作者)

12.  Xiaosong Zhang, Fang Wan, Chang Liu, Xiangyang Ji and Qixiang Ye*, Learning to Match Anchors for Visual Object Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021

13.  Fang Wan, Pengxu Wei, Zhenjun Han, Kun Fu, Qixiang Ye. Weakly Supervised Object Detection with Correlation and Part Suppression. International Conference on Image Processing (ICIP), 2016 (CCF C类会议)

14.  Xiaosong Zhang, Fang Wan, Chang Liu, Rongrong Ji and Qixiang Ye. FreeAnchor: Learning to Match Anchors for Visual Object Detection. Neural Information Processing Systems (NeurIPS), 2019 (CCF A类会议,机器学习领域国际顶级会议)

15.  Chang Liu, Fang Wan, Wei Ke, Zhuowei Xiao, Yuan Yao, Xiaosong Zhang, Qixiang Ye. Orthogonal Decomposition Network for Pixel-wise Binary Classification. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, USA, 2019 (CCF A类会议,计算机视觉领域国际顶级会议)

16.  Caijing Miao, Lingxi Xie, Fang Wan, Chi Su, Hongye Liu, Jianbin Jiao, Qixiang Ye. SIXray: A Large-scale Security Inspection X-ray Benchmark for Prohibited Item Discovery in Overlapping Images. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, USA, 2019 (CCF A类会议,计算机视觉领域国际顶级会议)

17.  Yan Gao, Boxiao Liu, Nan Guo, Xiaochun Ye, Fang Wan, Haihang You, and Dongrui Fan. C-MIDN: Coupled Multiple Instance Detection Network with Segmentation Guidance for Weakly Supervised Object Detection. IEEE International Conference on Computer Vision (ICCV), 2019. (CCF A类会议,计算机视觉领域国际顶级会议)

18. Chang Liu, Dezhao Luo, Yifei Zhang, Wei Ke, Fang Wan and Qixiang Ye. Parametric Skeleton Generation via Gaussian Mixture Models. IEEE Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), Long Beach, USA, 2019 (CCF A类会议,计算机视觉领域国际顶级会议Workshop,骨架检测竞赛第一名)

19. Penxu Wei, Fei Qin, Fang Wan, Yi Zhu, Jianbin Jiao and Qixiang Ye. Correlated Topic Vector for Scene Classification, IEEE Transactions on Image Processing, (TIP) 26 (7): 3221 – 3234, 2017.

20. Ke Wei, Tianliang Zhang, Jie Chen, Fang Wan, Qixiang Ye. Texture Complexity based Redundant Regions Re-ranking for Object Proposal, International Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), 2016 (CCF A类会议,计算机视觉领域国际顶级会议Workshop)

21. Jialing Zou, Qixiang Ye, Yanting Cui, Fang Wan, Fu Kun, Jianbin Jiao. Collective Motion Pattern Inference via Locally Consistent Latent Dirichlet Allocation[J]. Neurocomputing, 2016, 184:221-231. (SCI 中科院一区)