Chunbo Lang

Computer Vision and Pattern Recognition · 2021–2022

A researcher in the Science corpus: 3 papers; trusts 345 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chunbo Lang trusts overall

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

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

Papers from Chunbo Lang's perspective

Ordered by how strongly the researchers Chunbo Lang 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers