Kangchen Lv

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 63 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kangchen Lv trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Yoshua Bengio
  5. Yann LeCun
  6. Ross B. Girshick
  7. Gao Huang
  8. Karen Simonyan
  9. Diederik P. Kingma
  10. Ilya Sutskever

Papers from Kangchen Lv's perspective

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

Their papers