Henghui Ding

Biography

Henghui Ding is currently a tenure-track Professor at Fudan University, and a member of Fudan Vision and Learning Lab. Prior to that, he was a Presidential Postdoctoral Fellow (Principal Investigator) at Nanyang Technological University (NTU) in Singapore, a Postdoctoral Researcher at ETH Zürich in Switzerland, and a Research Scientist at ByteDance AI Lab in Singapore. He received the Ph.D. degree (winner of the Best Thesis Award) from NTU in 2020, and the B.E. degree from Xi'an Jiaotong University in 2016. His research interests broadly include machine learning and computer vision. Specifically, he focuses on scene understanding (e.g., image/video segmentation, detection), multi-modal learning (e.g., vision-language), low-shot learning, and human–computer interaction. He serves/served as an Area Chair of CVPR'(24-25), NeurIPS'24, ICML'25, ICLR'25, ACM MM’24, BMVC'24, and a Senior Program Committee (SPC) member of AAAI'(22-25), IJCAI'(23-25). He serves as an Associate Editor for IEEE Transactions on Image Processing (TIP).

Ph.D. recruitment: Please email me if you have an excellent background and motivation to undertake Ph.D. studies.
常年招收: 博士后、博士、硕士、本科实习生，欢迎邮件联系 hhding[AT]fudan.edu.cn。25年入学考研批次硕士名额若干，请提前联系。

News

Selected Publications [Google Scholar]

	MeViS: A Large-scale Benchmark for Video Segmentation with Motion Expressions Henghui Ding, Chang Liu, Shuting He, Xudong Jiang, Chen Change Loy IEEE International Conference on Computer Vision (ICCV), 2023. MeViS A benchmark dataset of Video Segmentation with Motion Expressions. 🔥Project Page🔥
	MOSE: A New Dataset for Video Object Segmentation in Complex Scenes Henghui Ding, Chang Liu, Shuting He, Xudong Jiang, Philip H.S. Torr, Song Bai IEEE International Conference on Computer Vision (ICCV), 2023. MOSE A benchmark dataset of coMplex video Object SEgmentation 🔥Project Page🔥
	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.
	GRES: Generalized Referring Expression Segmentation Chang Liu*, Henghui Ding* , Xudong Jiang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. ( Corresponding Authorship, * Equal contribution) A new task and benchmark dataset of referring image segmentation: 🔥Project Page🔥 Hightlight, Acceptance Rate 2.5%.
	Primitive Generation and Semantic-related Alignment for Universal Zero-Shot Segmentation Shuting He*, Henghui Ding* , Wei Jiang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. ( Corresponding Authorship, * Equal contribution) The first unfied zero-shot segmentation framework: 🔥Project Page🔥
	Semantic-Promoted Debiasing and Background Disambiguation for Zero-Shot Instance Segmentation Shuting He*, Henghui Ding* , Wei Jiang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. ( Corresponding Authorship, * Equal contribution)
	Prototype Adaption and Projection for Few- and Zero-shot 3D Point Cloud Semantic Segmentation Shuting He, Xudong Jiang, Wei Jiang, Henghui Ding IEEE Transactions on Image Processing (TIP), 2023. ( Corresponding Authorship)
	Multi-Modal Mutual Attention and Iterative Interaction for Referring Image Segmentation Chang Liu, Henghui Ding, Yulun Zhang, Xudong Jiang IEEE Transactions on Image Processing (TIP), 2023. ( Corresponding Authorship)
	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 Recognition (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

• Area Chair, CVPR'(24-25), ICLR'25, ICML'25, NeurIPS'24, ACM MM'24, BMVC'24.
• Associate Editor, IEEE Transactions on Image Processing (TIP).
• Associate Editor, IET Computer Vision, 2022-Present.
• Associate Editor, Visual Intelligence, 2024-Present.
• Guest Editor, Electronics, 2023-2024.
• Senior Program Committee (SPC): AAAI'(22-25), IJCAI'(23-25).
• 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