Hao Chen

Computer Vision and Pattern Recognition · 3 papers · 2018–2021

A researcher in the Science corpus: 3 papers; trusts 543 researchers and is trusted by 19 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. Kaiming He
  2. Ross B. Girshick
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Junwei Han
  6. Karen Simonyan
  7. Yoshua Bengio
  8. Yann LeCun
  9. Diederik P. Kingma
  10. Andrew Zisserman

Who trusts Hao Chen overall

  1. Deng-Ping Fan
  2. Keren Fu
  3. Xiaoqi Zhao
  4. Tao Zhou
  5. Jiaxing Zhao
  6. Ming-Ming Cheng
  7. Yongri Piao
  8. Runmin Cong
  9. Youwei Pang
  10. Yingjie Zhai

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