Chen Huang

Computer Vision and Pattern Recognition · with Loy · 2016–2022

A researcher in the Science corpus: 6 papers; trusts 1,010 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

Whom Chen Huang trusts overall

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

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

Who trusts Chen Huang overall

  1. Yu Li
  2. Qi Dong
  3. Bingyi Kang
  4. Jiequan Cui
  5. Zhisheng Zhong
  6. Nikolaos Passalis
  7. Martin Danelljan
  8. Adamu Ali-Gombe
  9. Tao Wang
  10. Yin Cui

Papers from Chen Huang's perspective

Ordered by how strongly the researchers Chen Huang 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. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  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