Biography

I am a Research Scientist at Shanghai AI Laboratory, led by Prof. Yu Qiao, Prof. Limin Wang, and Dr. Yali Wang. We are working on video understanding, foundation models, and related topics.

I did my Ph.D. at CSE of The Chinese University of Hong Kong, supervised by Prof. Jiaya Jia and Prof. Liwei Wang. My research interests include computer vision and deep learning, especially image generation and instance-level image understanding. Before that, I got the M.Sc. degree from Peking University (supervised by Prof. Yuexian Zou).

We are actively looking for motivated research fellows and interns with experience / interest in video processing / neural arch design / self-supervised learning / multimodal learning / dataset construction at Shanghai AI Laboratory. If you are interested in our video understanding project or other topics, please drop me an email.

Selected Publications _{(* equal contrib, # corresponding author)}

InternVideo: General Video Foundation Models via Generative and Discriminative Learning In Technical Report. 2022.
Yi Wang*, Kunchang Li*, Yizhuo Li*, Yinan He*, Bingkun Huang*, Zhiyu Zhao*, Hongjie Zhang*, Jilan Xu, Yi Liu, Zun Wang, Sen Xing, Guo Chen, Junting Pan, Jiashuo Yu, Yali Wang*, Limin Wang*, Yu Qiao
[Code] [Supp] [Presentation] [Bib]
PalGAN: image colorization with palette generative adversarial networks In ECCV. 2022.
Yi Wang, Menghan Xia, Lu Qi, Jing Shao, Yu Qiao
[Code] [Presentation] [Bib]
MAT: Mask-aware transformer for large hole image inpainting In CVPR. 2022. [Best paper finalist & Oral]
Wenbo Li, Zhe Lin, Kun Zhou, Lu Qi, Yi Wang^#, Jiaya Jia
[Code] [Presentation] [Bib]
Towards implicit text-guided 3D shape generation In CVPR. 2022.
Zhengzhe Liu, Yi Wang, Xiaojuan Qi, Chi-Wing Fu
[Code] [Supp] [Presentation] [Bib]
Image synthesis via semantic composition In ICCV. 2021.
Yi Wang, Lu Qi, Ying-Cong Chen, Xiangyu Zhang, Jiaya Jia
[Code] [Supp] [Bib]
Pointins: point-based instance segmentation In TPAMI. 2021.
Lu Qi*, Yi Wang*, Yukang Chen, Ying-Cong Chen, Xiangyu Zhang, Jian Sun, Jiaya Jia
[Bib]
Multi-scale aligned distillation for low-resolution detection In CVPR. 2021.
Lu Qi*, Jason Kuen*, Jiuxiang Gu, Zhe Lin, Yi Wang, Yukang Chen, Yanwei Li, Jiaya Jia
[Code] [Bib]
VCNet: a robust approach to blind image inpainting In ECCV. 2020.
Yi Wang, Ying-Cong Chen, Xin Tao, Jiaya Jia
[Code] [Supp] [Slides] [Presentation] [Bib]
Attentive normalization for conditional image generation In CVPR. 2020. [Oral]
Yi Wang, Ying-Cong Chen, Xiangyu Zhang, Jian Sun, Jiaya Jia
[Code] [Supp] [Slides] [Presentation] [Bib]
Wide-context semantic image extrapolation In CVPR. 2019.
Yi Wang, Xin Tao, Xiaoyong Shen, Jiaya Jia
[Code] [Supp] [Bib]
Image inpainting via generative multi-column convolutional neural networks In NeurIPS. 2018.
Yi Wang, Xin Tao, Xiaojuan Qi, Xiaoyong Shen, Jiaya Jia
[Code] [Supp] [Poster] [Bib]
Manifold-based visual object counting In TIP. 2018.
Yi Wang, Yuexian Zou, Wenwu Wang
[Code] [Bib]

Academic Service

• Serve as a reviewer in multiple conferences / journals
  • Conference: CVPR, ECCV, ICCV, ICLR, NeurIPS, Siggraph Asia
  • Journals: TPAMI, IJCV, TIP, CVIU, TMM, TCP

Awards & Honors

• Champions of FHP, NLQ, STOIA, SCOD, and MQ Challenges@ECCV Ego4D Workshop, 2022 [Technical Report] [Code] [Slide]
• Champion of Room-Across-Room Habitat VLN Challenge@CVPR Embodied AI Workshop, 2022 [Technical Report] [Code]
• Champions of REVERIE VLN Challenges in CSIG, 2022 [Technical Report]
• Champion of 2nd COVID-19 Competition@ECCV AIMIA workshop, 2022 [Technical Report]
• Postgraduate Studentship in CUHK, 2017-2021
• Beijing/PKU Outstanding Graduate Award, 2017
• PKU Outstanding Master Thesis Award, 2017
• National Scholarship, 2011/2015/2016
• Northwest A&F University Outstanding Graduate Award, 2014
• Northwest A&F University Outstanding Bachelor Thesis Award, 2014
• President Scholarship at Northwest A&F University, 2012