Xudong (Frank) Wang

I am a second-year Ph.D. student in the EECS Department at University of California, Berkeley, and a graduate student researcher at International Computer Science Institute (ICSI), co-advised by Prof. Stella X. Yu and Prof. Michael Lustig. Before joining UC Berkeley, I received my Master's Degree (thesis plan) in Intelligent Systems, Robotics and Control at University of California, San Diego, advised by Prof. Nuno Vasconcelos, and Bachelor's Degree as an honorary member of Tang Aoqing Honors Program in Science at Jilin University. I was a Staff Researcher at the vision group of ICSI from 2019 to 2020. I will be a Research Scientist Intern at Facebook AI Research (FAIR) in summer 2022.

Contact: xdwang [at] eecs [dot] berkeley [dot] edu
Google Scholar /  Linkedin /  Github


News

  • [Mar. 2022] Three papers are accepted by CVPR 2022!

  • [May. 2021] Delighted to have received the award for Outstanding Reviewer of CVPR 2021.

  • [Feb. 2021] Two papers are accepted by CVPR 2021!

  • [Jan. 2021] One paper is accepted by ICLR 2021 as the Spotlight Presentation!

  • [Dec. 2020] The code of RIDE for long-tailed recognition is public avaliable!

  • [Dec. 2020] The proposal of Xudong (project lead) is selected for the grant from the Center for Long-Term Cybersecurity.

  • [Nov. 2020] One paper is accepted by AAAI 2021!

Publications & Preprints

Unsupervised Data Selection for Data-Centric Semi-Supervised Learning
Xudong Wang*, Long Lian*, Stella X. Yu.
arXiv preprint, 2022
[Preprint] [Code] [BibTex]


Debiased Learning from Naturally Imbalanced Pseudo-Labels
Xudong Wang, Zhirong Wu, Long Lian, Stella X. Yu.
CVPR 2022
[Project Page] [Preprint] [PDF] [Code] [BibTex]


Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers
Yunhui Guo, Xudong Wang, Yubei Chen, Stella X. Yu.
CVPR 2022
[Preprint] [Code] [BibTex]


Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering Transformers
Tsung-Wei Ke, Jyh-Jing Hwang, Yunhui Guo, Xudong Wang, Stella X. Yu.
CVPR 2022 (Oral Presentation)
[Project Page] [Preprint] [PDF] [Code] [BibTex]


Unsupervised Visual Attention and Invariance for Reinforcement Learning
Xudong Wang*, Long Lian*, Stella X. Yu.
CVPR 2021
[Project Page] [Preprint] [PDF] [Code] [BibTex]


Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination
Xudong Wang, Ziwei Liu, Stella X. Yu.
CVPR 2021
[Project Page] [Preprint] [PDF] [Code] [BibTex]


Long-tailed Recognition by Routing Diverse Distribution-Aware Experts.
Xudong Wang, Long Lian, Zhongqi Miao, Ziwei Liu, Stella X. Yu.
ICLR 2021 (Spotlight Presentation)
[Project Page] [Preprint] [PDF] [Code] [BibTex]


Tied Block Convolution: Leaner and Better CNNs with Shared Thinner Filters
Xudong Wang, Stella X. Yu.
AAAI 2021
[Project Page] [Preprint] [PDF] [Code] [BibTex]


Volumetric Attention for 3D Medical Image Segmentation and Detection
Xudong Wang, Shizhong Han, Yunqiang Chen, Dashan Gao, Nuno Vasconcelos.
MICCAI 2019 (Early Accept)
[Preprint] [PDF] [BibTex]


Towards Universal Object Detection by Domain Attention
Xudong Wang, Zhaowei Cai, Dashan Gao, Nuno Vasconcelos.
CVPR 2019
[Project Page] [Preprint] [PDF] [Code] [BibTex]


Feature Space Transfer for Data Augmentation
Bo Liu, Xudong Wang, Mandar Dixit, Roland Kwitt, Nuno Vasconcelos.
CVPR 2018 (Oral Presentation)
[Preprint] [PDF] [Code] [Talk] [BibTex]


Teaching

CS 280: Computer Vision, Department of EECS, UC Berkeley, Spring 2022.


Contact

Email: xdwang [at] eecs [dot] berkeley [dot] edu
Office: International Computer Science Institute; 2150 Shattuck Avenue Suite 1100; Berkeley, CA 94704-1345;