Yu Li

Computer Vision and Pattern Recognition · with Feng · 2020–2021

A researcher in the Science corpus: 4 papers; trusts 509 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yu Li trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Tsung-Yi Lin
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Shaoqing Ren
  7. Piotr Doll'ar
  8. Yann LeCun
  9. Yoshua Bengio
  10. Andrew Zisserman

Who trusts Yu Li overall

  1. Xiuye Gu
  2. Songyang Zhang
  3. Tsung-Yi Lin
  4. Bingyi Kang
  5. Dávid Rozenberszki
  6. Wenwei Zhang
  7. Yifan Zhang
  8. Jingru Tan
  9. Tao Wang
  10. Yin Cui

Papers from Yu Li's perspective

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

Their papers