LI, Wen

 

LI, Wen
Ph.D.

Computer Vision Laboratory, ETH Zurich
Sternwartstrasse 7, CH 8092, Zurich, Switzerland

Email: liwenbnu AT gmail DOT com
 
[CV][Google Scholar]

Biography

I am currently working with Prof. Luc Van Gool as a postdoctoral researcher at the Computer Vision Laboratory, ETH Zurich, Switzerland. Before this, I was a research associate in the Nanyang Technological University(NTU), Singapore from 2014 to 2015. I obtained my PhD degree under the supervision of Prof. Dong Xu from NTU on 2015. I also worked closely with Prof. Ivor Wai-Hung Tsang during my PhD. I obtained my M.Eng. degree and B.S. degree from the Beijing Normal University, Beijing, China, on 2010 and 2007, respectively.

News

Preprints

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Ensemble Manifold Segmentation for Model Distillation and Semi-supervised Learning.

Dengxin Dai,  Wen Li, Till Kroeger,  Luc Van Gool. arXiv: 1804.02201, 2018.
[Paper]

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WebVision Database: Visual Learning and Understanding from Web Data.

Wen Li, Limin Wang,  Wei Li,  Eirikur Agustsson,  Luc Van Gool. arXiv: 1708.02862, 2017.
[Paper][Database] [Workshop@CVPR 2017][Workshop@CVPR 2018]

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Sliced Wasserstein Generative Models. (updated with a new version)

Jiqing Wu,  Zhiwu Huang,  Wen Li,   Janine Thoma,  Luc Van Gool. arXiv: 1706.02631, 2017.
[Paper]

Selected Publications

 

Dividing and Aggregating Network for Multi-view Action Recognition

Dongang Wang, Wanli Ouyang, Wen Li, and Dong Xu
European Conference on Computer Vision (ECCV), 2018.
[Paper]

 

Semi-Supervised Optimal Transport for Heterogeneous Domain Adaptation

Yuguang Yan*, Wen Li*, Hanrui Wu, Huaqing Min, Mingkui Tan, Qingyao Wu (* contributed equally)
International Joint Conference on Artificial Intelligence (IJCAI), 2018.
[Paper][ Code ]

 

Domain Adaptive Faster R-CNN for Object Detection in the Wild

Yuhua Chen, Wen Li*, Christos Sakaridis, Dengxin Dai, and Luc Van Gool (* correspondng author)
IEEE International Conference on Computer Vision and Pattern Recognition(CVPR),2018.
[Paper][Code]

 

ROAD: Reality Oriented Adaptation for Semantic Segmentation of Urban Scenes

Yuhua Chen, Wen Li*, and Luc Van Gool (* correpsondng author)
IEEE International Conference on Computer Vision and Pattern Recognition(CVPR),2018.
[Paper][ Code ]

 

Appearance-and-Relation Networks for Video Classification

Limin Wang, Wei Li, Wen Li, and Luc Van Gool
IEEE International Conference on Computer Vision and Pattern Recognition(CVPR),2018.
[Paper][Code]

 

Collaborative and Adversarial Network for Unsupervised Domain Adaptation

Weichen Zhang, Wanli Ouyang, Wen Li, and Dong Xu
IEEE International Conference on Computer Vision and Pattern Recognition(CVPR),2018 (spotlight).
[Paper][Code]

 

Unsupervised Domain Adaptation for Face Anti-Spoofing

Haoliang Li, Wen Li, Hong Cao, Shiqi Wang, Feiyue Huang, Alex C Kot
IEEE Transactions on Information Forensics and Security(T-IFS), vol. 13(7), pp. 1794-1809, July 2018.
[Paper][ Dataset]

 

Domain Generalization and Adaptation using Low Rank Exemplar SVMs

Wen Li, Zheng Xu, Dong Xu, Dengxin Dai, and Luc Van Gool
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol. 40(5), pp. 1114-1127, May 2018.
[PDF][Supplementary]

 

Visual Recognition in RGB Images and Videos by Learning from RGB-D Data

Wen Li, Lin Chen, Dong Xu, and Luc Van Gool
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol. 40(8), pp. 2030-2036, Aug. 2018.
[PDF]

 

Learning Discriminative Correlation Subspace for Heterogeneous Domain Adaptation

Yuguang Yan*, Wen Li*, Michael Ng, Mingkui Tan, Hanrui Wu, Huaqing Min, and Qingyao Wu. (* contributed equally)
International Joint Conference on Artificial Intelligence (IJCAI), 2017.
[PDF]

 

Deep Domain Adaptation by Geodesic Distance Minimization

Yifei Wang, Wen Li, Dengxin Dai, and Luc Van Gool
ICCV 2017 Workshop on Transferring and Adapting Source Knowledge in Computer Vision (TASK-CV), 2017.
[PDF] [Code]

 

Fast Algorithms for Linear and Kernel SVM+

Wen Li, Dengxin Dai, Mingkui Tan, Dong Xu, and Luc Van Gool.
IEEE International Conference on Computer Vision and Pattern Recognition(CVPR),2016.
[PDF] [Code][Errata]

 

An Exemplar-Based Multi-View Domain Generalization Framework for Visual Recognition

Li Niu, Wen Li, Dong Xu, and Jianfei Cai
IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 2016 (In Press).
[PDF][Code]

 

Visual Recognition by Learning from Web Data via Weakly Supervised Domain Generalization

Li Niu, Wen Li, Dong Xu, and Jianfei Cai
IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 2016 (In Press).
[PDF][Code]

 

Exploiting Privileged Information from Web Data for Action and Event Recognition

Li Niu, Wen Li*, and Dong Xu (* correspondng author)
International Journal of Computer Vision (IJCV) , vol. 118(2), pp. 130-150, Jun 2016.
[PDF][Code]

 

Co-Labeling for Multi-view Weakly Labeled Learning

Xinxing Xu*, Wen Li*,Dong Xu, and Ivor Tsang (* contributed equally).
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol. 38(6), pp. 1113-1125, Jun 2016.
[PDF]

 

Multi-view Domain Generalization for Visual Recognition

Li Niu, Wen Li, and Dong Xu.
IEEE International Conference on Computer Vision(ICCV), 2015.
[PDF][Code][Slides]

 

Visual Recognition by Learning From Web Data: A Weakly Supervised Domain Generalization Approach

Li Niu, Wen Li, and Dong Xu.
IEEE International Conference on Computer Vision and Pattern Recognition(CVPR), pp. 2774-2783 ,2015.
[PDF][Code][Slides]

 

FaLRR: A Fast Low Rank Representation Solver

Shijie Xiao, Wen Li, Dong Xu, and Dacheng Tao.
IEEE International Conference on Computer Vision and Pattern Recognition(CVPR), pp. 4612-4620, 2015.
[PDF]

 

Distance Metric Learning using Privileged Information for Face Verification and Person Re-identification

Xinxing Xu, Wen Li, Dong Xu
IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), vol. 26(12), pp. 3150-3162, Dec 2015.
[PDF][Code]

 

Flowing on Riemannian Manifold: Domain Adaptation by Shifting Covariance

Zhen Cui, Wen Li, Dong Xu, Shiguang Shan, Xilin Chen, and Xuelong Li
IEEE Transactions on Cybernetics , vol. 44(12), pp. 2264-2273, Nov 2014.
[PDF]

 

Learning with Augmented Features for Supervised and Semi-supervised Heterogeneous Domain Adaptation

Wen Li, Lixin Duan, Dong Xu, and Ivor W.H. Tsang.
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol. 36(6), pp. 1134-1148, JUN 2014.
[PDF] [Supplementary][Code]

 

Exploiting Low-rank Structure from Latent Domains for Domain Generalization

Zheng Xu, Wen Li, Li Niu, and Dong Xu.
European Conference on Computer Vision,(ECCV), pp. 628-643, 2014.
[PDF][Code][Slides]

 

Exploiting Privileged Information from Web Data for Image Categorization

Wen Li*, Li Niu*, and Dong Xu.(* contributed equally)
European Conference on Computer Vision,(ECCV), pp. 437-452, 2014.
[PDF][Code][Slides]

 

Recognizing RGB Images by Learning from RGB-D Data

Lin Chen, Wen Li, and Dong Xu
IEEE International Conference on Computer Vision and Pattern Recognition(CVPR), pp. 1418-1425, 2014.
[PDF]

 

Fusing Robust Face Region Descriptors via Multiple Metric Learning for Face Recognition in the Wild

Zhen Cui, Wen Li, Dong Xu, Shiguang Shan and Xilin Chen
IEEE International Conference on Computer Vision and Pattern Recognition(CVPR), pp. 3554-3561, 2013.
[PDF] [Code][ROC_LFW, ROC_YTF]

 

Co-Labeling: A New Multi-View Learning Approach for Ambiguous Problems

Wen Li, Lixin Duan, Ivor W.H. Tsang, and Dong Xu
IEEE International Conference on Data Mning (ICDM), pp. 419-428, 2012. (full paper)
[PDF][Slides]

 

Batch Mode Adaptive Multiple Instance Learning for Computer Vision Tasks

Wen Li, Lixin Duan, Ivor W.H. Tsang, and Dong Xu
IEEE International Conference on Computer Vision and Pattern Recognition(CVPR), pp. 2368-2375, 2012.
[PDF]

 

Text-based Image Retrieval Using Progressive Multi-Instance Learning

Wen Li, Lixin Duan, Dong Xu and Ivor W.H. Tsang
IEEE International Conference on Computer Vision(ICCV), pp. 2049-2055, 2011.
[PDF][ indices of relevant images]

 

Improving Web Image Search by Bag-based Re-ranking

Lixin Duan, Wen Li, Ivor W.H. Tsang, and Dong Xu.
IEEE Transactions on Image Processing (T-IP), vol. 20(11), pp. 3280-3290, NOV 2011.
[PDF]

Services

Workshop Organizers:

Conference Reviewer:

Journal Reviewer:

  • IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI)
  • International Journal of Computer Vision (IJCV)
  • Journal of Machine Learning Research (JMLR)
  • IEEE Transactions on Image Processing (T-IP)
  • IEEE Transactions on Information Forensics & Security (T-IFS)
  • IEEE Transactions on Neural Networks and Learning Systems (T-NNLS)
  • IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT)
  • IEEE Transactions on Systems, Man, and Cybernetics: Part B (T-SMC-B)
  • Computer Vision and Image Understanding (CVIU)
  • ACM Transactions on Multimedia Computing, Communications and Applications (ACM TOMM)
  • Pattern Recognition (PR)
  • Pattern Recognition Letters (PRL)
  • Machine Vision and Applications (MVAP)
  • Signal Processing (SP)

Teaching

  • Fall 2016: Computer Vision, ETH Zurich, Teaching Assistant
  • Spring 2013: Engineering Mathematics, Nanyang Technological University, Teaching Assistant
  • Fall 2012: Discrete Mathematics, Nanyang Technological University, Teaching Assistant
  • Spring 2012: Data Structures, Nanyang Technological University, Teaching Assistant
  • Fall 2008: Data Mining, Beijing Normal University, Teaching Assistant
  • Spring 2008: Human Computer Interaction, School of Continuing Education, Beijing Normal University, Lecturer
  • Fall 2007: Mathematical Logic, Beijing Normal University, Teaching Assistant