The photo was token by a friend at Quincy beach, Boston in 2021.



Chen Zhenfang (陈振方)


Email: chenzhenfang2013 [at] gmail.com
Address: 314 Main Street, Cambridge, MA, USA, 02142.

 Github   Linkedin  CV  DBLP

About Me

I am currently a researcher at MIT-IBM Watson AI Lab in Cambridge, MA, USA. I received my Ph.D. degree from the Department of Computer Science at The University of Hong Kong. I studied at the Computer Vision Lab, advised by Dr. Kenneth K.Y. Wong. I got my B.Sc. from Sun Yat-sen University in 2016.

My interests are centered around machine learning and its applications to computer vision and natural language processing. Current research topics include dynamic visual reasoning, multimodal learning, and image retrieval.

News

Publications [Bibtex]

S3-NeRF: Neural Reflectance Field from Shading and Shadow under a Single Viewpoint

Wenqi Yang, Guanying Chen, Chaofeng Chen, Zhenfang Chen, Kwan-Yee K. Wong

NeurIPS2022

Paper Project Code

Embodied Concept Learner: Self-supervised Learning of Concepts and Mapping through Instruction Following

Mingyu Ding, Yan Xu, Zhenfang Chen, David Daniel Cox, Ping Luo, Joshua B. Tenenbaum, Chuang Gan

CoRL2022

Paper

PS-NeRF: Neural Inverse Rendering for Multi-view Photometric Stereo

Wenqi Yang, Guanying Chen, Chaofeng Chen, Zhenfang Chen, Kwan-Yee K. Wong

ECCV2022

Paper Project Code

A Unified Framework for Masked and Mask-Free Face Recognition via Feature Rectification

Shaozhe Hao, Chaofeng Chen, Zhenfang Chen, Kwan-Yee K. Wong

ICIP2022

Paper Github

ComPhy: Compositional Physical Reasoning of Objects and Events from Videos

Zhenfang Chen, Kexin Yi, Yunzhu Li, Mingyu Ding, Antonio Torralba, Joshua B. Tenenbaum, Chuang Gan

ICLR2022

Paper Project Code

Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language

Mingyu Ding, Zhenfang Chen, Tao Du, Ping Luo, Joshua B. Tenenbaum, Chuang Gan

NeurIPS2021

Paper Project Code

STAR: A Benchmark for Situated Reasoning in Real-World Videos

Bo Wu, Shoubin Yu, Zhenfang Chen , Joshua B. Tenenbaum, Chuang Gan

NeurIPS2021 (Datasets and Benchmarks Track)

Paper Project

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 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

Professional Services

  • Senior Program Committee (SPC) Member:
      AAAI 2023
  • Conference Reviewer:
      CVPR, ICCV, ACL, EMNLP, IJCAI, AAAI, NeurIPS, ICME, ICLR
  • Journal Reviewer:
      Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
      International Journal of Computer Vision (IJCV)
      Transactions on Image Processing (TIP)
      Transactions on Multimedia Computing Communications and Applications (TOMM)
      Neurocomputing
      Pattern Recognition (PR)
      Transactions on Neural Networks and Learning Systems (TNNLS)

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