Tao Hu

Computer Vision and Pattern Recognition · with Li · 2016–2019

A researcher in the Science corpus: 2 papers; trusts 483 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 96 citations into it
• Artificial Intelligence — 31 citations into it
• Aerospace Engineering — 13 citations into it
• Model Architectures — 12 citations into it
• Evaluation & Benchmarks — 7 citations into it
• Optimization & Training — 7 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Tao Hu trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Christian Szegedy
4. Alex Krizhevsky
5. Geoffrey E. Hinton
6. Karen Simonyan
7. Andrew Zisserman
8. Jonathan Krause
9. Jeff Donahue
10. Yann LeCun

Who trusts Tao Hu overall

1. Ruyi Ji
2. Longyin Wen

Papers from Tao Hu's perspective

Ordered by how strongly the researchers Tao Hu 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• The Visual Object Tracking VOT2016 Challenge Results (2016) — 773 citations
• See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Classification (2019) — 268 citations