Kwok-Wai Hung

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 240 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 49 citations into it
• Artificial Intelligence — 14 citations into it
• Model Architectures — 9 citations into it
• Generative Models — 8 citations into it

Whom Kwok-Wai Hung trusts overall

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

1. Kaiming He
2. David G. Lowe
3. Karen Simonyan
4. Christian Szegedy
5. Geoffrey E. Hinton
6. Ross B. Girshick
7. Alex Krizhevsky
8. Taco Cohen
9. Andrew Zisserman
10. Max Welling

Papers from Kwok-Wai Hung's perspective

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

Their papers

• Robust Image Completion via Deep Feature Transformations (2019) — 6 citations