Cong Yang

Computer Vision and Pattern Recognition · with Goswami · 2023

A researcher in the Science corpus: 1 paper; trusts 172 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Cong Yang trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Ross B. Girshick
  4. Alex Krizhevsky
  5. Shaoqing Ren
  6. Yoshua Bengio
  7. Yann LeCun
  8. Diederik P. Kingma
  9. Jia Deng
  10. Ilya Sutskever

Papers from Cong Yang's perspective

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

Their papers