Tao Dai

Computer Vision and Pattern Recognition · 2019–2024

A researcher in the Science corpus: 2 papers; trusts 348 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 91 citations into it; #13,037 of 21,575 by trust here, #9,079 by citations
• Media Technology — 51 citations into it; #1,990 of 3,621 by trust here, #910 by citations
• Artificial Intelligence — 20 citations into it
• Model Architectures — 15 citations into it

Whom Tao Dai trusts overall

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

1. Kaiming He
2. Chao Dong
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Alex Krizhevsky
6. Kai Zhang
7. Ross B. Girshick
8. Yoshua Bengio
9. Yann LeCun
10. Karen Simonyan

Who trusts Tao Dai overall

1. Syed Waqas Zamir
2. Jinjin Gu
3. Chao Dong
4. Jie Liu
5. Zhisheng Lu
6. Xiangyu Chen
7. Kai Zhang
8. Utkarsh Ojha
9. Xindong Zhang
10. Aditya Arora

Papers from Tao Dai's perspective

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

Their papers

• Second-Order Attention Network for Single Image Super-Resolution (2019) — 1,809 citations
• MambaIR: A Simple Baseline for Image Restoration with State-Space Model (2024) — 801 citations