Henghui Ding

4.2k citations

78 papers · 2.3k indexed · 2 hit papers · h-index 29

Impact in

Computer Vision and Pattern Recognition top 0.5%
- Multimodal Machine Learning Applications
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Advanced Vision and Imaging
- Visual Attention and Saliency Detection
Artificial Intelligence top 1%
- Domain Adaptation and Few-Shot Learning

Papers in ⓘ

Computer Vision and Pattern Recognition 62
- Multimodal Machine Learning Applications 32
- Advanced Image and Video Retrieval Techniques 25
- Advanced Neural Network Applications 23
- Human Pose and Action Recognition 12
- Video Analysis and Summarization 6
Artificial Intelligence 35
- Domain Adaptation and Few-Shot Learning 20
- Topic Modeling 8
- Natural Language Processing Techniques 6

Co-authors: Xudong Jiang (29 shared papers)Gang Wang (5 shared papers)Bing Shuai (4 shared papers)A. Q. Liu (3 shared papers)Chang Liu (8 shared papers)Suchen Wang (4 shared papers)Shuting He (11 shared papers)Jun Liu (5 shared papers)
Journals: IEEE Transactions on Image Processing (9 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (8 papers)Pattern Recognition (4 papers)IEEE Transactions on Multimedia (3 papers)IEEE Transactions on Geoscience and Remote Sensing (2 papers)
Partner nations: Singapore China United States

In The Last Decade

Henghui Ding

70 papers receiving 2.3k citations

Hit Papers

align trajectories log scale

Transformer-Based Visual Segmentation: A Survey 2024 · 78 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2024 IEEE Transactions on Pattern Analysis and Machine Intelligence
2024 IEEE Transactions on Pattern Analysis and Machine Intelligence

Peers

Countries citing papers authored by Henghui Ding

Since Specialization

Citations

This map shows the geographic impact of Henghui Ding's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Henghui Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Henghui Ding more than expected).

Fields of papers citing papers by Henghui Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Henghui Ding. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Henghui Ding. The network helps show where Henghui Ding may publish in the future.

Co-authors

The 25 scholars most cited alongside Henghui Ding, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Henghui Ding Line = papers co-authored together Henghui Ding links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Context Contrasted Feature and Gated Multi-scale Aggregation for Scene Segmentation Henghui Ding, Xudong Jiang, Bing Shuai, A. Q. Liu, Gang Wang	2018	267
2	Vision-Language Transformer and Query Generation for Referring Segmentation 2021 IEEE/CVF International Conference on Computer Vision (ICCV) ·Henghui Ding, Chang Liu, Suchen Wang, Xudong Jiang	2021	134
3	Semantic Segmentation With Context Encoding and Multi-Path Decoding IEEE Transactions on Image Processing ·Henghui Ding, Xudong Jiang, Bing Shuai, A. Q. Liu, Gang Wang	2020	120
4	Semantic Correlation Promoted Shape-Variant Context for Segmentation DR-NTU (Nanyang Technological University) ·Henghui Ding, Xudong Jiang, Bing Shuai, A. Q. Liu, Gang Wang	2019	118
5	Feature Boosting Network For 3D Pose Estimation IEEE Transactions on Pattern Analysis and Machine Intelligence ·Jun Liu, Henghui Ding, Amir Shahroudy, Ling‐Yu Duan, Xudong Jiang, Gang Wang, Alex C. Kot	2019	96
6	MINE: Towards Continuous Depth MPI with NeRF for Novel View Synthesis 2021 IEEE/CVF International Conference on Computer Vision (ICCV) ·Jiaxin Li, Zijian Feng, Qi She, Henghui Ding, Changhu Wang, Gim Hee Lee	2021	94
7	VLT: Vision-Language Transformer and Query Generation for Referring Segmentation IEEE Transactions on Pattern Analysis and Machine Intelligence ·Henghui Ding, Chang Liu, Suchen Wang, Xudong Jiang	2022	80
8	Transformer-Based Visual Segmentation: A Survey IEEE Transactions on Pattern Analysis and Machine Intelligence ·Xiangtai Li, Henghui Ding, Haobo Yuan, Wenwei Zhang, Jiangmiao Pang, Guangliang Cheng, Kai Chen, Ziwei Liu, Chen Change Loy Hit paper breakdown →	2024	78
9	Towards Open Vocabulary Learning: A Survey IEEE Transactions on Pattern Analysis and Machine Intelligence ·Jianzong Wu, Xiangtai Li, Shilin Xu, Haobo Yuan, Henghui Ding, Yibo Yang, Xia Li, Jiangning Zhang, Yunhai Tong, Xudong Jiang, Bernard Ghanem, Dacheng Tao Hit paper breakdown →	2024	64
10	Bi-Directional Dermoscopic Feature Learning and Multi-Scale Consistent Decision Fusion for Skin Lesion Segmentation IEEE Transactions on Image Processing ·Xiaohong Wang, Xudong Jiang, Henghui Ding, Jun Liu	2019	62
11	Recovering the Unbiased Scene Graphs from the Biased Ones Meng-Jiun Chiou, Henghui Ding, Hanshu Yan, Changhu Wang, Roger Zimmermann, Jiashi Feng	2021	61
12	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	2023	60
13	GRES: Generalized Referring Expression Segmentation Chang Liu, Henghui Ding, Xudong Jiang	2023	58
14	Self-regularized prototypical network for few-shot semantic segmentation Pattern Recognition ·Henghui Ding, Hui Zhang, Xudong Jiang	2022	54
15	Region Generation and Assessment Network for Occluded Person Re-Identification IEEE Transactions on Information Forensics and Security ·Shuting He, Weihua Chen, Kai Wang, Hao Luo, Fan Wang, Wei Jiang, Henghui Ding	2023	54
16	VGSG: Vision-Guided Semantic-Group Network for Text-Based Person Search IEEE Transactions on Image Processing ·Shuting He, Hao Luo, Wei Jiang, Xudong Jiang, Henghui Ding	2023	52
17	Prototypical Matching and Open Set Rejection for Zero-Shot Semantic Segmentation 2021 IEEE/CVF International Conference on Computer Vision (ICCV) ·Hui Zhang, Henghui Ding	2021	48
18	A Closer Look at Few-shot Image Generation 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ·Yunqing Zhao, Henghui Ding, Houjing Huang, Ngai‐Man Cheung	2022	47
19	Knowledge-aware deep framework for collaborative skin lesion segmentation and melanoma recognition Pattern Recognition ·Xiaohong Wang, Xudong Jiang, Henghui Ding, Yuqian Zhao, Jun Liu	2021	38
20	OMG-Seg: Is One Model Good Enough for all Segmentation? Xiangtai Li, Haobo Yuan, Wei Li, Henghui Ding, Size Wu, Wenwei Zhang, Yining Li, Kai Chen, Chen Change Loy	2024	35

About Henghui Ding

Henghui Ding is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Human-Computer Interaction and Geology, having authored 78 papers that have together received 2.3k indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (32 papers), Advanced Image and Video Retrieval Techniques (25 papers), Advanced Neural Network Applications (23 papers), Domain Adaptation and Few-Shot Learning (20 papers), Human Pose and Action Recognition (12 papers), Topic Modeling (8 papers), Natural Language Processing Techniques (6 papers) and Video Analysis and Summarization (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.8k citations), Artificial Intelligence (922 citations), Computer Graphics and Computer-Aided Design (79 citations), Media Technology (147 citations) and Human-Computer Interaction (63 citations). Henghui Ding has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Xudong Jiang, Gang Wang, Bing Shuai, A. Q. Liu, Chang Liu, Suchen Wang, Shuting He, Jun Liu, Hui Zhang and Wei Jiang. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition, IEEE Transactions on Multimedia and IEEE Transactions on Geoscience and Remote Sensing.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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