Linhang Cai

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 73 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Linhang Cai trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Christian Szegedy
  5. Ross B. Girshick
  6. Yoshua Bengio
  7. Shaoqing Ren
  8. Jia Deng
  9. Yann LeCun
  10. Ian J. Goodfellow

Papers from Linhang Cai's perspective

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

Their papers