Tao Chen

Computer Vision and Pattern Recognition · with Zhang · 2021

A researcher in the Science corpus: 1 paper; trusts 67 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 38 citations into it
• Artificial Intelligence — 23 citations into it

Whom Tao 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. Jia Deng
6. Diederik P. Kingma
7. Yoshua Bengio
8. Yann LeCun
9. Karen Simonyan
10. Ilya Sutskever

Papers from Tao Chen's perspective

Ordered by how strongly the researchers Tao 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. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
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

• Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation (2021) — 220 citations