Hongtao Huo

Computer Vision and Pattern Recognition · 2015–2021

A researcher in the Science corpus: 2 papers; trusts 66 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 43 citations into it
• Media Technology — 18 citations into it
• Biomedical Engineering — 14 citations into it
• Artificial Intelligence — 12 citations into it
• Human-Computer Interaction — 11 citations into it

Whom Hongtao Huo trusts overall

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

1. Jiayi Ma
2. Yu Liu
3. V. Naidu
4. Sergey Zagoruyko
5. Geoffrey E. Hinton
6. N. Mitianoudis
7. Alex Krizhevsky
8. Kaiming He
9. Yoshua Bengio
10. Martín Arjovsky

Who trusts Hongtao Huo overall

1. Xingchen Zhang
2. Wei Tang

Papers from Hongtao Huo's perspective

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

Their papers

• Informative joints based human action recognition using skeleton contexts (2015) — 82 citations
• AttentionFGAN: Infrared and Visible Image Fusion Using Attention-Based Generative Adversarial Networks (2021) — 368 citations