Henghui Ding

Computer Vision and Pattern Recognition · 2018–2023

A researcher in the Science corpus: 8 papers; trusts 1,453 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 499 citations into it; #14,933 of 21,575 by trust here, #6,281 by citations
• Artificial Intelligence — 256 citations into it
• Model Architectures — 92 citations into it
• Multimodal Learning — 49 citations into it
• Evaluation & Benchmarks — 42 citations into it
• Natural Language Processing — 32 citations into it
• Aerospace Engineering — 29 citations into it
• Human-Computer Interaction — 22 citations into it

Whom Henghui Ding trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Kaiming He
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Ross B. Girshick
5. Karen Simonyan
6. Yoshua Bengio
7. Diederik P. Kingma
8. Yann LeCun
9. Ilya Sutskever
10. Andrew Zisserman

Who trusts Henghui Ding overall

1. Xiangtai Li
2. Jun Fu
3. Chang Liu
4. Konstantin Sofiiuk
5. Chang-Bin Zhang
6. Lin-Zhuo Chen
7. Golnaz Ghiasi
8. Tianyi Wu
9. Zhao Yang
10. Hiroki Tokunaga

Papers from Henghui Ding's perspective

Ordered by how strongly the researchers Henghui Ding trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Gradient-based learning applied to document recognition
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• PhraseClick: Toward Achieving Flexible Interactive Segmentation by Phrase and Click (2020) — 64 citations
• Context Contrasted Feature and Gated Multi-scale Aggregation for Scene Segmentation (2018) — 391 citations
• Vision-Language Transformer and Query Generation for Referring Segmentation (2021) — 380 citations
• Semantic Segmentation With Context Encoding and Multi-Path Decoding (2020) — 148 citations
• Feature Boosting Network For 3D Pose Estimation (2019) — 129 citations
• GRES: Generalized Referring Expression Segmentation (2023) — 331 citations
• Else-Net: Elastic Semantic Network for Continual Action Recognition from Skeleton Data (2021) — 47 citations
• Transformer-Based Visual Segmentation: A Survey (2023) — 318 citations