Kunchang Li

Computer Vision and Pattern Recognition · 2021–2024

A researcher in the Science corpus: 11 papers; trusts 1,216 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Kunchang Li trusts overall

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

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

Who trusts Kunchang Li overall

  1. Yi Wang
  2. Renrui Zhang
  3. Lin Xu
  4. Yinan He
  5. Weihao Yu
  6. Muhammad Maaz
  7. Chenyang Si
  8. Peng Gao
  9. Xiaoqian Shen
  10. Xiangyu Chen

Papers from Kunchang Li's perspective

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

Their papers