Jin Huang

Computer Vision and Pattern Recognition · with Chen · 2020

A researcher in the Science corpus: 1 paper; trusts 44 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 44 citations into it
• Artificial Intelligence — 18 citations into it
• Media Technology — 18 citations into it
• Model Architectures — 6 citations into it
• Neural Architecture Search & AutoML — 5 citations into it

Whom Jin Huang trusts overall

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

1. Barret Zoph
2. Ronald J. Williams
3. Yong Guo
4. Kaiming He
5. Geoffrey E. Hinton
6. Sepp Hochreiter
7. Alex Krizhevsky
8. Jiwon Kim
9. Quoc V. Le
10. Xiangxiang Chu

Papers from Jin Huang's perspective

Ordered by how strongly the researchers Jin 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. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
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

• Hierarchical Neural Architecture Search for Single Image Super-Resolution (2020) — 53 citations