Tak-Wai Hui

Computer Vision and Pattern Recognition · 2016–2020

A researcher in the Science corpus: 2 papers; trusts 242 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 40 citations into it; #16,949 of 21,575 by trust here, #14,151 by citations
• Artificial Intelligence — 15 citations into it
• Media Technology — 7 citations into it; #2,686 of 3,621 by trust here, #2,280 by citations

Whom Tak-Wai Hui trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Yann LeCun
5. Ross B. Girshick
6. X. Zhang
7. Alexey Dosovitskiy
8. Yoshua Bengio
9. Koray Kavukcuoglu
10. Diederik P. Kingma

Who trusts Tak-Wai Hui overall

1. Zhihao Wang
2. Afshin Dehghan
3. Xinjing Cheng
4. Jian Chen
5. Chao Dong
6. Radu Timofte

Papers from Tak-Wai Hui's perspective

Ordered by how strongly the researchers Tak-Wai Hui 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. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
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

• Depth Map Super-Resolution by Deep Multi-Scale Guidance (2016) — 373 citations
• Inter-Region Affinity Distillation for Road Marking Segmentation (2020) — 146 citations