Yu Wang

Computer Vision and Pattern Recognition · with Cao · 2021

A researcher in the Science corpus: 1 paper; trusts 131 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yu Wang trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Geoffrey E. Hinton
  4. Shaoqing Ren
  5. Alex Krizhevsky
  6. Pedro F. Felzenszwalb
  7. Yann LeCun
  8. Tsung-Yi Lin
  9. Diederik P. Kingma
  10. Karen Simonyan

Papers from Yu Wang's perspective

Ordered by how strongly the researchers Yu Wang 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. Microsoft COCO: Common Objects in Context
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Gradient-based learning applied to document recognition
  10. Long Short-Term Memory

Their papers