Ping Chao

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 37 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ping Chao trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Jia Deng
  5. Evan Shelhamer
  6. Karen Simonyan
  7. Yoshua Bengio
  8. Gao Huang
  9. Michael Maire
  10. Ross B. Girshick

Who trusts Ping Chao overall

  1. Chien-Yao Wang
  2. Tomer Amit
  3. Yifu Zhang
  4. B. Dong
  5. Peter Henderson
  6. Hongpeng Liao
  7. Alexey Bochkovskiy
  8. Eliya Nachmani

Papers from Ping Chao's perspective

Ordered by how strongly the researchers Ping Chao 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. ImageNet: A large-scale hierarchical image database
  4. Gradient-based learning applied to document recognition
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers