Fang Wan

Assistant Professor

Room 273, A2 Building
School of Computer Science and Technology
University of Chinese Academy of Sciences
Beijing, China, 101408.

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

Biography

I am an assistant professor at the School of Computer Science and Technology, University of Chinese Academy of Sciences since 2021.12. From 2019.07 to 2021.12, I was a postdoctor of computer science and technology 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 and visual object detection.

News

Jul. 2023: Two papers are accepted by ICCV 2023, Con! [Liu and Zhao]
May. 2023: One paper is accepted by TPAMI 2023.
Nov. 2022: One paper is accepted by TNNLS 2022, Con! [Yuan]
May 2022: One paper is accepted by ECCV 2022, Con! [Mingxiang]
March. 2022: One paper is accepted by CVPR 2022, Con! [Tianning]
March. 2021: One paper is accepted by ICCV 2021, Con! [Wei]
Dec. 2020: Two papers are accepted by AAAI 2021, Con! [Mengying]
Aug. 2020: The pytorch version of CMIL is avalable at [here]. Thanks for the contribution of shenyunhang

Jul. 2020: I have won the "Top 100 Doctoral Thesis" of CAS!

Sep. 2019: Our paper [FreeAnchor] is accepted by NeurIPS 2019.
Jul. 2019: Two papers are accepted by ICCV 2019, Con! [Haolan and Yan & Xiaobo]
Jun. 2019: We won the CVPR 2019 SkelNetOn 2019, Con! [Chang]
Apr. 2019: A simplified version of MELM with context in PyTorch is released [here].
Feb. 2019: The slides of "Weakly Supervised Object Detection Localization and Instance Segmentation" in the report of VLASE 2019-02-27 is avalable at [WS-DLIS.pdf]
Feb. 2019: Our paper "Min-Entropy Latent Model for Weakly Supervised Object Detection" has been accepted by IEEE TPAMI 2019.
Feb. 2019: Three of our papers have been accepted by CVPR 2019.
Dec. 2018: The code for our CVPR 2018 paper "Min-Entropy Latent Model for Weakly Supervised Object Detection" is available at "https://github.com/Winfrand/MELM".

Publications

	Yuzhong Zhao, Qixiang Ye, Weijia Wu, Chunhua Shen and Fang Wan Generative Prompt Model for Weakly Supervised Object Localization IEEE International Conference on Computer Vision (ICCV), 2023 [PDF] [Code]
	Feng Liu, Xiaosong Zhang, Zhiliang Peng, Zonghao Guo, Fang Wan, Xiangyang Ji and Qixiang Ye Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection IEEE International Conference on Computer Vision (ICCV), 2023 [PDF] [Code]
	F Wan, Q Ye, T Yuan, S Xu, J Liu, X Ji, Q Huang Multiple Instance Differentiation Learning for Active Object Detection IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2023 [PDF] [Code]
	M Liao, Z Guo, Y Wang, P Yuan, B Feng and F Wan AttentionShift: Iteratively Estimated Part-Based Attention Map for Pointly Supervised Instance Segmentation IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023 [PDF] [Code]
	M Liao, F Wan, Y Yao, Z Han, J Zou, Y Wang, B Feng, P Yuan and Q Ye End-to-End Weakly Supervised Object Detection with Sparse Proposal Evolution European Conference on Computer Vision, 2022 [PDF] [Code]
	S Wang, B Du, D Zhang and F Wan Adversarial prototype learning for hyperspectral image classification IEEE Transactions on Geoscience and Remote Sensing, 2021 [PDF] [Code]
	F Liu, X Zhang, F Wan, X Ji and Q Ye Domain contrast for domain adaptive object detection IEEE Transactions on Circuits and Systems for Video Technology, 2021 [PDF] [Code]
	B Yang, F Wan, C Liu, B Li, X Ji and Q Ye Part-based semantic transform for few-shot semantic segmentation IEEE Transactions on Neural Networks and Learning Systems, 2021 [PDF] [Code]
	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]