Biography


Henghui Ding is currently a Postdoctoral Researcher at Computer Vision Lab of ETH Zürich in Switzerland. He was a Research Scientist at ByteDance AI Lab in Singapore. He received the Ph.D. degree (winner of Best Thesis Award) from Nanyang Technological University (NTU) in Singapore, advised by Prof. Xudong Jiang, and Prof. Gang Wang. Prior to that, he received the B.E. degree from Xi'an Jiaotong University (XJTU) in Xi'an, China. His research interests include computer vision, language, machine learning, with special emphasis on high-level image/video recognition and pixel-level scene understanding.
If you are interested in joining/visitng (or remotely collaborating with) our group at ETH, please do not hesitate to drop me an email with your resume. We will usually reply within a week if we have a suitable position.

  henghuiding@gmail.com

Selected Publications [Google Scholar]


Instance-Specific Feature Propagation for Referring Segmentation

Chang Liu, Xudong Jiang, Henghui Ding†
IEEE Transactions on Multimedia (TMM), 2022.
(† Corresponding Authorship)
Spatial Feature Mapping for 6DoF Object Pose Estimation

Jianhan Mei, Xudong Jiang, Henghui Ding†
Pattern Recongnition (PR), 2022.
(† Corresponding Authorship)
Primitive3D: 3D Object Dataset Synthesis from Randomly Assembled Primitives

Xinke Li*, Henghui Ding*, Zekun Tong, Yuwei Wu, Yeow Meng Chee
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
(* Equal contribution)
Coarse-to-Fine Feature Mining for Video Semantic Segmentation

Guolei Sun, Yun Liu, Henghui Ding, Thomas Probst, Luc Van Gool
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
Deep Interactive Image Matting with Feature Propagation

Henghui Ding, Hui Zhang, Chang Liu, Xudong Jiang
IEEE Transactions on Image Processing (TIP), 2022.
Directed Graph Contrastive Learning

Zekun Tong, Yuxuan Liang, Henghui Ding†, Yongxing Dai, Xinke Li, Changhu Wang
Advances in Neural Information Processing Systems (NeurIPS), 2021.
(† Corresponding Authorship)
Vision-Language Transformer and Query Generation for Referring Segmentation

Henghui Ding*, Chang Liu*, Suchen Wang, Xudong Jiang
IEEE International Conference on Computer Vision (ICCV), 2021.
(* Equal contribution)
Interaction via Bi-directional Graph of Semantic Region Affinity for Scene Parsing

Henghui Ding, Hui Zhang, Jun Liu, Jiaxin Li, Zijian Feng, Xudong Jiang
IEEE International Conference on Computer Vision (ICCV), 2021.
Prototypical Matching and Open Set Rejection for Zero-Shot Semantic Segmentation

Hui Zhang, Henghui Ding†
IEEE International Conference on Computer Vision (ICCV), 2021.
(† Corresponding Authorship)
Towards Enhancing Fine-grained Details for Image Matting

Chang Liu, Henghui Ding†, Xudong Jiang
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2021.
(† Corresponding Authorship)
PhraseClick: Toward Achieving Flexible Interactive Segmentation by Phrase and Click

Henghui Ding, Scott Cohen, Brian Price, Xudong Jiang
European Conference on Computer Vision (ECCV), 2020.
Spotlight presentation, Acceptance Rate 5.3%.
Work done when intern at Adobe Research
Semantic Segmentation with Context Encoding and Multi-Path Decoding

Henghui Ding, Xudong Jiang, Bing Shuai, Ai Qun Liu, Gang Wang
IEEE Transactions on Image Processing (TIP), 2020.
Feature Boosting Network For 3D Pose Estimation

Jun Liu, Henghui Ding, Amir Shahroudy, Ling-Yu Duan, Xudong Jiang, Gang Wang, Alex C. Kot
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020.
Toward Achieving Robust High-level and Low-level Scene Parsing

Henghui Ding*, Bing Shuai*, Ting Liu, Gang Wang, Xudong Jiang
IEEE Transactions on Image Processing (TIP), 2019.
(* Equal contribution)
Boundary-Aware Feature Propagation for Scene Segmentation

Henghui Ding, Xudong Jiang, Ai Qun Liu, Nadia Magnenat Thalmann, Gang Wang
IEEE International Conference on Computer Vision (ICCV), 2019.
Semantic Correlation Promoted Shape-Variant Context for Segmentation

Henghui Ding, Xudong Jiang, Bing Shuai, Ai Qun Liu, Gang Wang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
Oral presentation, Acceptance Rate 5.6%.
Context Contrasted Feature and Gated Multi-Scale Aggregation for Scene Segmentation

Henghui Ding, Xudong Jiang, Bing Shuai, Ai Qun Liu, Gang Wang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
Oral presentation, Acceptance Rate 2.1%.

Activities


  • Senior Program Committee: AAAI'22.
  • Conference Reviewer: NeurIPS'22&21&20, CVPR'22&21&20&19, ICCV'21&19, ICML'22&21, ICLR'22&21, AAAI'21&20, WACV'21, ECCV'22&20, BMVC'20, ICIP'19&17, etc.
  • Journal Reviewer: TPAMI, TIP, TMI, TNNLS, TMM, TCSVT, PR, Neurocomputing, SPL, etc.
  • Internship: Adobe Research, San José, USA.

Patents


  • US Patent App. 16/839,209, 2021, Integrated Interactive Image Segmentation.

Teaching


  • Semester 2, 2018-2019,    E2010L/IM2004: Signals&Systems, NTU
  • Semester 2, 2018-2019,    E2004: Digital Electronics, NTU
  • Semester 1, 2018-2019,    EE4717: Web Application Design, NTU
© Henghui Ding | Last updated: 3/6/2022