Wenyuan Li

Computer Vision and Pattern Recognition · with Chen · 2021–2024

A researcher in the Science corpus: 3 papers; trusts 466 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Wenyuan Li trusts overall

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

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

Who trusts Wenyuan Li overall

  1. Valerio Marsocci
  2. Simone Scardapane
  3. Xian Sun

Papers from Wenyuan Li's perspective

Ordered by how strongly the researchers Wenyuan 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers