Adrien Chan-Hon-Tong

Computer Vision and Pattern Recognition · 2020–2022

A researcher in the Science corpus: 2 papers; trusts 86 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 30 citations into it
• Artificial Intelligence — 20 citations into it

Whom Adrien Chan-Hon-Tong trusts overall

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

1. Andrew Zisserman
2. Adam Laud
3. João Carreira
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Fabian Caba Heilbron
7. Alex Krizhevsky
8. Kaiming He
9. Karen Simonyan
10. Diederik P. Kingma

Papers from Adrien Chan-Hon-Tong's perspective

Ordered by how strongly the researchers Adrien Chan-Hon-Tong trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
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. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Weakly-Supervised Continual Learning for Class-Incremental Segmentation (2022) — 4 citations
• ActionSpotter: Deep Reinforcement Learning Framework for Temporal Action Spotting in Videos (2020) — 8 citations