Chongjian GE 葛崇剑

Ph.D. Candidate

Dept. of Computer Science
The University of Hong Kong
Pokfulam, Hong Kong

Email: rhettgee AT connect DOT hku DOT hk

Biography

I am currently a second-year (2020-now) Ph.D. student in the Department of Computer Science, the University of Hong Kong, under the co-supervision of Prof. Ping Luo and Prof. Wenping Wang. My research interest is computer vision and machine learning. I have done some works about fashion generation and self/semi/weak-supervised learning.

News

[01/2022] Two papers were accepted by ICLR 2022 (one Oral paper, and one Spotlight paper).
[10/2021] One paper was accepted by NeurIPS 2021.
[07/2021] One paper was accepted by ICCV 2021.
[03/2021] Two papers were accepted by CVPR 2021.

Selected Publications [Google Scholar]

	Revitalizing CNN Attentions via Transformers in Self-Supervised Visual Representation Learning, Chongjian Ge, Youwei Liang, Yibing Song, Jianbo Jiao, Jue Wang, and Ping Luo Advances in Neural Information Processing Systems (NeurIPS) 2021 [paper\|code\|media report]
	Disentangled Cycle Consistency for Highly-realistic Virtual Try-On, Chongjian Ge, Yibing Song, Yuying Ge, Han Yang, Wei Liu, and Ping Luo IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021 [paper\|code]
	AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition, Shoufa Chen, Chongjian Ge, Zhan Tong, Jiangliu Wang, Yibing Song, Jue Wang, and Ping Luo arxiv preprint [paper\|code\|project page]
	Not All Patches are What You Need: Expediting Vision Transformers via Token Reorganizations, Youwei Liang, Chongjian Ge, Zhan Tong, Yibing Song, Jue Wang, and Pengtao Xie International Conference on Learning Representations (ICLR) 2022 (Spotlight) [paper\|code]
	CycleMLP: A MLP-like Architecture for Dense Prediction, Shoufa Chen, Enze Xie, Chongjian Ge, Runjian Chen, Ding Liang, and Ping Luo International Conference on Learning Representations (ICLR) 2022 (Oral) [paper\|code\|media report]
	Parser-Free Virtual Try-on via Distilling Appearance Flows, Yuying Ge, Yibing Song, Ruimao Zhang, Chongjian Ge, Wei Liu, and Ping Luo IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021 [paper\|code]
	Watch Only Once: An End-to-End Video Action Detection Framework, Shoufa Chen, Peize Sun, Enze Xie, Chongjian Ge, Jiannan Wu, Lan Ma, Jiajun Shen, and Ping Luo IEEE/CVF International Conference on Computer Vision (ICCV) 2021 [paper\|code]

Honors and Awards

Hong Kong PhD Fellowship Scheme, HKU, 2020-2024
YS and Christabel Lung Postgraduate Scholarship, HKU, 2020-2021
Rhino-Bird Program, Tencent, 2020-2022
First-Class Scholarship, XJTU, 2018-2019
High-Voltage Scholarship, XJTU, 2017-2018
Pengkang Scholarship, XJTU, 2016-2017
Huichuan Scholarship, XJTU, 2015-2016
Samsung Scholarship, XJTU, 2014-2015

Teaching

From Human Vision to Machine Vision [Section 2A, 2020] [CCST9049]
Deep Learning [Section A, 2021] [DASC7606]

Academic Service

Conference Review:
IEEE International Conference on Computer Vision (ICCV), 2021
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
ACM International Conference on Multimedia (ACMMM), 2022
Journal Review:
IEEE Access
IEEE Journal of Biomedical and Health Informatics

	Revitalizing CNN Attentions via Transformers in Self-Supervised Visual Representation Learning, Chongjian Ge, Youwei Liang, Yibing Song, Jianbo Jiao, Jue Wang, and Ping Luo Advances in Neural Information Processing Systems (NeurIPS) 2021 [paper\|code\|media report]
	Disentangled Cycle Consistency for Highly-realistic Virtual Try-On, Chongjian Ge, Yibing Song, Yuying Ge, Han Yang, Wei Liu, and Ping Luo IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021 [paper\|code]
	AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition, Shoufa Chen, Chongjian Ge, Zhan Tong, Jiangliu Wang, Yibing Song, Jue Wang, and Ping Luo arxiv preprint [paper\|code\|project page]
	Not All Patches are What You Need: Expediting Vision Transformers via Token Reorganizations, Youwei Liang, Chongjian Ge, Zhan Tong, Yibing Song, Jue Wang, and Pengtao Xie International Conference on Learning Representations (ICLR) 2022 (Spotlight) [paper\|code]
	CycleMLP: A MLP-like Architecture for Dense Prediction, Shoufa Chen, Enze Xie, Chongjian Ge, Runjian Chen, Ding Liang, and Ping Luo International Conference on Learning Representations (ICLR) 2022 (Oral) [paper\|code\|media report]
	Parser-Free Virtual Try-on via Distilling Appearance Flows, Yuying Ge, Yibing Song, Ruimao Zhang, Chongjian Ge, Wei Liu, and Ping Luo IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021 [paper\|code]
	Watch Only Once: An End-to-End Video Action Detection Framework, Shoufa Chen, Peize Sun, Enze Xie, Chongjian Ge, Jiannan Wu, Lan Ma, Jiajun Shen, and Ping Luo IEEE/CVF International Conference on Computer Vision (ICCV) 2021 [paper\|code]