Hao Huang

Computer Vision and Pattern Recognition · with Chu · 2022

A researcher in the Science corpus: 1 paper; trusts 159 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 35 citations into it; #13,481 of 21,575 by trust here, #18,782 by citations
• Artificial Intelligence — 30 citations into it; #21,779 of 35,345 by trust here, #29,412 by citations
• Natural Language Processing — 9 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Hao Huang trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Diederik P. Kingma
5. Yoshua Bengio
6. Ross B. Girshick
7. Ilya Sutskever
8. Andrew Zisserman
9. Yann LeCun
10. Karen Simonyan

Who trusts Hao Huang overall

1. Yabin Wang
2. Sarah Pratt
3. Jingyi Zhang
4. Muhammad Uzair Khattak
5. Zhiwu Huang
6. Rosanne Liu
7. Jiaxing Huang

Papers from Hao Huang's perspective

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

Their papers

• Unsupervised Prompt Learning for Vision-Language Models (2022) — 182 citations