Wentao Wang

 

Email: wwt117[at]sjtu[dot]edu[dot]cn

Department of Computer Science and Engineering

Shanghai Jiao Tong University, Shanghai, China 200240

 

          

About Me

I am currently a Ph.D. student in Department of Computer Science and Technology, Shanghai Jiao Tong University. My research advisors are Prof. Liqing Zhang and Prof. Li Niu.

I received the B. E. degree from College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China, in 2016. I received the M. S. degree from School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, China, in 2019.

My research interests include geolocation calibration and geocoding in remote sensing, deep learning and computer vision, especially focusing on image inpainting, deepfake detection and rotated object detection.

I am seeking a full-time research / applied research job on computer vision.

News

  • March 2022: One paper on Image Inpainting is accepted by CVPR 2022.
  • January 2022: Research internship at Tencent YouTu Lab, Shanghai, working with Shen Chen and Taiping Yao.
  • September 2021: One collaborative paper on Rotation Detection is accepted by NeurIPS 2021.
  • July 2021: One paper on Image Inpainting is accepted by ICCV 2021.
  • July 2021: One paper on Video Semantic Segmentation is accepted by ACM MM 2021.
  • May 2021: One collaborative paper on Rotation Detection is accepted by ICML 2021.
  • March 2021: One collaborative paper on Rotation Detection is accepted by CVPR 2021.
  • June 2020: One collaborative paper on Image Inpainting is accepted by IEEE SPL.
  • September 2019: I'm joining Department of CSE at Shanghai Jiao Tong University as a Ph.D. student.

Selected Publications

Dual-path Image Inpainting with Auxiliary GAN Inversion
Wentao Wang, Li Niu, Jianfu Zhang, Xue Yang, Liqing Zhang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR, CCF A), 2022
[Paper] [Slides] [Poster]
Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence
Xue Yang, Xiaojiang Yang, Jirui Yang, Qi Ming, Wentao Wang, Qi Tian, Junchi Yan
Advances in Neural Information Processing Systems (NeurIPS, CCF A), 2021
[Paper] [Github] [Slides] [Poster]
Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss
Xue Yang, Junchi Yan, Qi Ming, Wentao Wang, Xiaopeng Zhang, Qi Tian
International Conference on Machine Learning (ICML, CCF A), 2021
[Paper] [Github] [Slides] [Poster]
Dense Label Encoding for Boundary Discontinuity Free Rotation Detection
Xue Yang, Liping Hou, Yue Zhou, Wentao Wang, Junchi Yan
IEEE Conference on Computer Vision and Pattern Recognition (CVPR, CCF A), 2021
[Paper] [Github] [Slides] [Poster]
Parallel Multi-Resolution Fusion Network for Image Inpainting
Wentao Wang*, Jianfu Zhang*, Li Niu, Haoyu Ling, Xue Yang, Liqing Zhang
IEEE International Conference on Computer Vision (ICCV, CCF A), 2021
[Paper] [Slides] [Poster]
Video Semantic Segmentation via Sparse Temporal Transformer
Wentao Wang*, Jiangtong Li*, Junjie Chen, Li Niu, Jianlou Si, Chen Qian, Liqing Zhang
ACM International Conference on Multimedia (ACM MM, CCF A, Oral), 2021
[Paper] [Slides] [Poster]
Image Editing via Segmentation Guided Self-Attention Network
Jianfu Zhang, Peiming Yang, Wentao Wang, Yan Hong, Liqing Zhang
IEEE Signal Processing Letters (SPL, CCF C), 2020
[Paper]

Academic Service

    Journal Reviewer

    IEEE TCSVT


    Conference Reviewer

    ICML 2022, NeurIPS 2022, CVPR 2022, MLSP 2021