Cheng Pang

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 171 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Cheng Pang trusts overall

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

  1. Christian Szegedy
  2. Kaiming He
  3. Radu Timofte
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Chao Dong
  7. Diederik P. Kingma
  8. Ross B. Girshick
  9. Jiwon Kim
  10. Yann LeCun

Papers from Cheng Pang's perspective

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

Their papers