Fang Wan  

Ph.D. Candidate

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;
Github: https://github.com/Winfrand/

Biography

I am a third-year Ph.D. student of 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, 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
[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 Presidential Scholarship, 2019
  • Initiative Postdocs Supporting Program, 2019
  • Excellent Student Scholarship, Chinese Academy of Sciences, 2019.
  • First Place Prize of Aerial Plane Detection Competition organized by Chinese Academy of Sciences, 2017.
  • First Place Prize of Aerial Vechle Detection Competition organized by Chinese Academy of Sciences, 2017.
  • Excellent Student Scholarship, Chinese Academy of Sciences, 2016.


  • Statistics