Tao Du

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 170 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 52 citations into it
• Artificial Intelligence — 42 citations into it
• Multimodal Learning — 11 citations into it
• Model Architectures — 8 citations into it

Whom Tao Du trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Ross B. Girshick
5. Alex Krizhevsky
6. Diederik P. Kingma
7. Yann LeCun
8. Sepp Hochreiter
9. Ilya Sutskever
10. Tsung-Yi Lin

Papers from Tao Du's perspective

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

Their papers

• Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language (2021) — 86 citations