Biography



Henghui Ding is currently a Presidential Postdoctoral Fellow (PPF, Principal Investigator) at Nanyang Technological University (NTU) in Singapore, working with Prof. Chen Change Loy. Prior to that, he was a Postdoctoral Researcher at Computer Vision Lab of ETH Zürich in Switzerland and a Research Scientist at ByteDance AI Lab in Singapore. He received the Ph.D. degree (winner of Best Thesis Award) from NTU in 2020, advised by Prof. Xudong Jiang and Prof. Gang Wang, and the B.E. degree from Xi'an Jiaotong University (XJTU), Xi'an China, in 2016. His research interests include computer vision, language, machine learning, with special emphasis on high-level image/video recognition and pixel-level scene understanding. He is the Senior Program Committee member of AAAI.
If you are interested in joining/visitng or remotely collaborating with our group at MMLab@NTU, please do not hesitate to drop me an email with your resume.

  henghui.ding[AT]gmail.com    henghui.ding[AT]ntu.edu.sg

Selected Publications [Google Scholar]



VLT: Vision-Language Transformer and Query Generation for Referring Segmentation

Henghui Ding, Chang Liu, Suchen Wang, Xudong Jiang
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023.
Self-Regularized Prototypical Network for Few-Shot Semantic Segmentation

Henghui Ding, Hui Zhang, Xudong Jiang
Pattern Recognition (PR), 2023.

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)

Distilling Knowledge from Object Classification to Aesthetics Assessment

Jingwen Hou*, Henghui Ding*, Weisi Lin, Weide Liu, Yuming Fang
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022.
(* Equal contribution)

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.
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 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 (SPC): AAAI.
  • Conference Reviewer: CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, AAAI, WACV, BMVC, ICRA, ICIP, etc.
  • Journal Reviewer: TPAMI, IJCV, 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: 11/11/2022