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Xuehui WANG

PhD Candidate
Shanghai Jiao Tong University

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Shanghai, China

Welcome!

Hey, this is Xuehui Wang (王雪辉). I’m a PhD student of computer science at Shanghai Jiao Tong University, China, supervised by Prof.Wei Shen and this is my third year. I wanna spend more time exploring keys of artificial intelligience. Hope I can bring some solid works to the community of computer vision! I am a dog person. Labrador Retriever, Golden Retriever and Border Collie are my favorites. I wish I can have a cute dog after obtaining the PhD degree. I spend my free time on BiliBili, a video sharing platform like YouTube, and musics. I’m a hardcore fan of DaoYueShe(盗月社食遇记).

After a struggle with anxiety disorder, I believe that health is the greatest fortune, and knowledge is our permanent pursuit.

Recently, I am interested in these areas:

  • Vision-and-Language Model
  • Instance Segmentation
  • Weakly/Self Supervised and Unsupervised Learning
  • Representation Learning

Education Experience

  • 2021/09 - now I am pursuing my PhD degree at Artificial Intelligience Institute, Shanghai Jiao Tong University (上海交通大学, SJTU), Shanghai, China. Supervisor: Prof. Wei Shen.

  • 2018/09 - 2021/06 I got my Master degree from School of Computer Science, Sun Yat-sen University (中山大学, SYSU), Guangzhou, China. Supervisor: Prof.Long Chen.

  • 2014/09 - 2018/06 I got my Bachelor degree from Schoor of Mechanical, Electrical & Information Engineering, Shandong University (山东大学, SDU), China, with great honor!

Research Experience

  • 2023/04 - now Research Intern, Shanghai AI Lab (上海人工智能实验室), Collaborate with Dr.Xue Yang.

  • 2022/02 - 2023/03 Research Intern, Huawei Cloud (华为云), Collaborate with Dr.Lingxi Xie and Dr.Dongsheng Jiang.

  • 2021/04 - 2021/11 Research Intern, Tencent YouTu Lab (腾讯优图实验室), Collaborate with Dr.Kai Zhao.

  • 2020/01 - 2021/03 Research Intern, SenseTime (商汤), Collaborate with Dr.Qiong Yan and Dr.Yuzhi Zhao.

Recent News

  • [2023/12] Two collaborative papers have been accepted to TIP and AAAI.
  • [2023/04] I begin my fourth internship at Shanghai AI Lab.
  • [2023/02] Our survey has been accepted to TPAMI
  • [2023/01] One collaborative paper about weakly-supervised rotated object detection has been accepted to ICLR 2023!
  • [2022/08] One collaborative paper about instance segmentation has been accepted to Neurocomputing (JCR Q2)!
  • [2022/07] We release a comprehensive survey for label-efficient segmentation.
  • [2022/07] One collaborative paper about night image restoration has been accepted to ECCV 2022!
  • [2022/03] One collaborative paper about generative adversarial networks has been accepted to TMM (JCR Q1)!
  • [2022/03] One paper about instance segmentation has been accepted to CVPR 2022!
  • [2022/02] I begin my third internship at Huawei.
  • [2021/09] I start my PhD life!
  • [2021/06] I obtain my Master degree from SYSU.
  • [2021/05] One paper about superpixel has been accepted to ICIP 2021!
  • [2021/04] I begin my second internship at Tencent Youtu.
  • [2021/01] I will be a PhD student in Shanghai Jiao Tong University from the fall of 2021. My dream will come true!
  • [2020/11] One paper about legacy photo editing has been accepted to WACV 2021!
  • [2020/09] One paper about Super-Resolution has been accepted to ACCV 2020, it’s my first conference paper!
  • [2020/01] I join in Sensetime Research as a computer vision intern!

Selected Publications

ContrastMask: Contrastive Learning to Segment Every Thing.

Xuehui Wang, Kai Zhao, Ruixin Zhang, Shouhong Ding, Yan Wang, Wei Shen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

Links: Project Page PDF arXiv Code Presentation video Bibtex

ChildPredictor: A Child Face Prediction Framework with Disentangled Learning.

Yuzhi Zhao, Lai-Man Po, Xuehui Wang, Qiong Yan, Wei Shen, et al.

IEEE Transactions on Multimedia (TMM), 2022.

Links: Project Page arXiv Code Dataset Bibtex

D2HNet: Joint Denoising and Deblurring with Hierarchical Network for Robust Night Image Restoration.

Yuzhi Zhao, Yongzhe Xu, Qiong Yan, Dingdong Yang, Xuehui Wang, and Lai-Man Po

European Conference on Computer Vision (ECCV), 2022.

Links: arXiv Code Dataset Bibtex

Lightweight Single-Image Super-Resolution Network with Attentive Auxiliary Feature Learning.

Xuehui Wang, Qing Wang, Yuzhi Zhao, Junchi Yan, Lei Fan, Long Chen

Proceedings of the Asian Conference on Computer Vision (ACCV), 2020.

Links: Project Page PDF Code Slide Bibtex

Academic Service

  • Conference Reviewer: CVPR’23, ECCV’22, ACCV’22, ICIP’22, WACV’21,
  • Journal Reviewer: NeuroComputing, Signal Processing

Honors

  • National Encouragement Scholarship, 2015, 2016, 2017
  • Chinese University Students’ Star of Self-improvement(about 1462 in China), 2017
  • The NXP cup National University Students Intelligent Car Race, National Award for the second prize, 2017
  • Outstanding Graduate Student in Shandong Province, 2018
  • Excellent Student Cadre in Shandong Province, 2018
  • Person of the Year in Shandong University, 2017
  • And more!