Shaoheng Fang

Computer Vision and Pattern Recognition · 2022

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

Subfields

Whom Shaoheng Fang trusts overall

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

  1. Yoshua Bengio
  2. Fisher Yu
  3. Yen-Cheng Liu
  4. Alex H. Lang
  5. Runsheng Xu
  6. Geoffrey E. Hinton
  7. Holger Caesar
  8. Shital Shah
  9. Daniel Krajzewicz
  10. Kaiming He

Papers from Shaoheng Fang's perspective

Ordered by how strongly the researchers Shaoheng Fang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers