Tuo Chen

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 386 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 161 citations into it
• Artificial Intelligence — 137 citations into it
• Representation & Self-Supervised Learning — 110 citations into it
• Multimodal Learning — 17 citations into it
• Signal Processing — 6 citations into it

Whom Tuo Chen trusts overall

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

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

Papers from Tuo Chen's perspective

Ordered by how strongly the researchers Tuo Chen 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. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
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

• A Survey on Self-Supervised Learning: Algorithms, Applications, and Future Trends (2023) — 566 citations