Donghui Wang

Computer Vision and Pattern Recognition · 2017–2021

A researcher in the Science corpus: 2 papers; trusts 314 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 46 citations into it
• Artificial Intelligence — 41 citations into it
• Representation & Self-Supervised Learning — 14 citations into it
• Meta & Continual Learning — 11 citations into it
• Radiology, Nuclear Medicine and Imaging — 10 citations into it
• Model Architectures — 5 citations into it

Whom Donghui Wang trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Karen Simonyan
4. Alex Krizhevsky
5. Ilya Sutskever
6. Yoshua Bengio
7. Andrew Zisserman
8. Ross B. Girshick
9. Christian Szegedy
10. Shaoqing Ren

Who trusts Donghui Wang overall

1. Wenlin Wang

Papers from Donghui Wang's perspective

Ordered by how strongly the researchers Donghui Wang 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. Long Short-Term Memory
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Zero-Shot Learning with Generative Latent Prototype Model (2017) — 16 citations
• Class-Incremental Few-Shot Object Detection (2021) — 14 citations