Yacheng Tan

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yacheng Tan trusts overall

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

  1. Deng-Ping Fan
  2. Diederik P. Kingma
  3. Kaiming He
  4. Geoffrey E. Hinton
  5. Jimmy Ba
  6. Alex Krizhevsky
  7. Olaf Ronneberger
  8. Ross B. Girshick
  9. Yoshua Bengio
  10. René Ranftl

Papers from Yacheng Tan's perspective

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

Their papers