Fang Wan  

Postdoctor

Room 330, A2 Building
School of Electronic, Electrical and Communication Engineering
University of Chinese Academy of Sciences
Beijing, China, 101408.

Email: wanfang13@mails.ucas.ac.cn;
             wanfang@ucas.ac.cn;
Github: https://github.com/WanFang13/

Biography

I am a postdoctor of computer science and technology in the School of Computer Science and Technology, University of Chinese Academy of Sciences , advised by Prof. Qingming Huang. I got my Ph.D. and Master Degree in 2019 and 2016 respectively at PRISDL in the School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, advised by Prof. Qixiang Ye.

My research interests include computer vision and machine learning, specifically for weakly supervised learning, feature learning, and visual object detection.

News

Publications

Fang Wan, Tianning Yuan, Mengying Fu, Xiangyang Ji, Qingming Huang and Qixiang Ye
Nearest Neighbor Classifier Embedded Network for Active Learning
Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), 2021
[PDF] [Code]
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
[PDF] [Code]
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
[PDF] [Code]
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 forWeakly Supervised Object Detection
IEEE International Conference on Computer Vision (ICCV), 2019.
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.
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
[PDF]
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
[PDF] [Code]
Fang Wan, Chang Liu, Wei Ke, Xiangyang Ji, Jianbin Jiao and Qixiang Ye
C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection (Oral)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, USA, 2019
[PDF] [Code]
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
[PDF] [Code]
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
[PDF] [Code] [Dataset]
Fang Wan, Pengxu Wei, Jianbin Jiao, Zhenjun Han and Qixiang Ye
Min-Entropy Latent Model for Weakly Supervised Object Detection
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, USA, 2018
[PDF] [Code]
Pengxu Wei, Fei Qin, Fang Wan, Yi Zhu, Jianbin Jiao, Qixiang Ye
Correlated Topic Vector for Scene Classification
IEEE Transactions on Image Processing (TIP), 2017
[PDF]
Wei Ke, Tianliang Zhang, Jie Chen, Fang Wan, Qixiang Ye, Zhenjun Han
Texture Complexity based Redundant Regions Ranking for Object Proposal
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop, Las Vegas, USA, 2016
[PDF]
Fang Wan, Pengxu Wei, Zhenjun Han, Kun Fu, Qixiang Ye
Weakly supervised object detection with correlation and part suppression
IEEE International Conference on Image Processing (ICIP), 2016
[PDF]

Awards

  • CAS Top 100 Doctoral Thesis, 2020
  • CAS Special Research Assistant, 2019
  • CAS Presidential Scholarship, 2019
  • Initiative Postdocs Supporting Program, 2019
  • Excellent Student Scholarship, Chinese Academy of Sciences, 2019.
  • First Place Prize of Aerial Vechle Detection Competition organized by Chinese Academy of Sciences, 2017.
  • Second Place Prize of Aerial Plane Detection Competition organized by Chinese Academy of Sciences, 2017.
  • Excellent Student Scholarship, Chinese Academy of Sciences, 2016.


  • Statistics