About Me

I am currently a Ph.D. student in Computer Vision Lab, Dept. of Computer Science at the University of Hong Kong, advised by Dr. Kenneth K.Y. Wong. Prior to studying at HKU, I received my B.Sc. from Sun Yat-sen University in 2016.

My interests are centered around Computer Vision and Deep Learning. Current research topics include dynamic visual reasoning, multimodal learning, and image retrieval.

News

[March 2021]  One paper about video action detection has been accepted by CVPR 2021.
[January 2021]  One paper about learning physical dynamics has been accepted in ICLR 2021! Possibly last first-authored paper as a Ph.D. student.

Publications [Bibtex]

The Blessings of Unlabeled Background in Untrimmed Videos

Yuan Liu, Jingyuan Chen, Zhenfang Chen, Bing Deng, Jianqiang Huang, Hanwang Zhang

CVPR2021

Paper Code

Grounding Physical Concepts of Objects and Events Through Dynamic Visual Reasoning

Zhenfang Chen, Jiayuan Mao, Jiajun Wu, Kwan-Yee K. Wong, Joshua B. Tenenbaum, Chuang Gan

ICLR2021

Paper Project Page Code

Cops-Ref: A new Dataset and Task on Compositional Referring Expression Comprehension

Zhenfang Chen, Peng Wang, Lin Ma, Kwan-Yee K. Wong, Qi Wu

CVPR2020

Paper Code & Data

Look Closer to Ground Better: Weakly-Supervised Temporal Grounding of Sentence in Video

Zhenfang Chen, Lin Ma, Wenhan Luo, Peng Tang, Kwan-Yee K. Wong

Arxiv.

Paper

Weakly Supervised Grounding Natural Sentence in Videos

Zhenfang Chen, Lin Ma, Wenhan Luo, Kwan-Yee K. Wong

ACL2019 (Oral Presentation)

Paper Code

Learning Local Similarity with Spatial Relations for Object Retrieval

Zhenfang Chen, Zhanghui Kuang, Wayne Zhang, Kwan-Yee K. Wong

MM2019

Paper

Boosting up scene text detectors with guided CNN.

Xiaoyu Yue, Zhanghui Kuang, Zhaoyang Zhang, Zhenfang Chen, Pan He, Yu Qiao and Wayne Zhang

BMVC2018 (Oral Presentation)

Paper

Aggregated deep feature from activation clusters for particular object retrieval.

Zhenfang Chen, Zhanghui Kuang, Kwan-Yee K. Wong, Wayne Zhang

MM17 (Thematic Workshop)

Paper

Previous Experience

• [The University of Adelaide, 2019]: Visiting student, working with Dr. Qi Wu and Dr. Peng Wang
• [Tencent AI lab, 2018]: Research intern, working with Dr. Lin Ma and Dr. Wenhan Luo
• [Sensetime, 2015]: Research intern, working with Dr. Zhanghui Kuang and Dr. Wayne Zhang
• [Microsoft Research Asia, 2015]: Research intern, working with Dr. lei Sun

Professional Services

• Conference Reviewer:
    CVPR, ICCV, ACL, EMNLP, IJCAI, AAAI, NeurIPS, ICME
  
• Journal Reviewer:
    Transactions on Image Processing (TIP)
    Transactions on Multimedia Computing Communications and Applications (TOMM)
    Neurocomputing
    Pattern Recognition (PR)
  

Awards

• M. Braun Postgraduate Prizes, HKU 2019-2020
• Postgraduate Scholarships (PGS), HKU 2016-2020

Teaching Assistant at HKU

• [Spring, 2020]: COMP3270 Artificial Intelligence
• [Spring, 2019]: COMP7404 Computational Intelligence and Machine Learning
• [Spring, 2018]: COMP7404 Computational Intelligence and Machine Learning
• [Summer, 2017]: COMP7502 Image Processing and Computer Vision 

Links to Friends