Yangxin Wu

Computer Vision and Pattern Recognition · 2020–2021

A researcher in the Science corpus: 4 papers; trusts 471 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yangxin Wu 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. Diederik P. Kingma
  6. Karen Simonyan
  7. Tsung-Yi Lin
  8. Yoshua Bengio
  9. Yann LeCun
  10. Shaoqing Ren

Who trusts Yangxin Wu overall

  1. Liang-Chieh Chen
  2. Gengwei Zhang
  3. Yunchao Wei
  4. Huiyu Wang

Papers from Yangxin Wu's perspective

Ordered by how strongly the researchers Yangxin Wu 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. Gradient-based learning applied to document recognition
  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