Hao Chen

Computer Vision and Pattern Recognition · with Wang · 2018–2021

A researcher in the Science corpus: 2 papers; trusts 258 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hao Chen trusts overall

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

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

Who trusts Hao Chen overall

  1. Jun Shu
  2. Yu-Xiong Wang
  3. Qi Fan
  4. Jiaxi Wu
  5. Claudio Michaelis
  6. Limeng Qiao
  7. Eli Schwartz
  8. Tao Wang
  9. Yu Li
  10. Deva Ramanan

Papers from Hao Chen's perspective

Ordered by how strongly the researchers Hao Chen 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. 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. 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