Chaoyang Wang

Computer Vision and Pattern Recognition · with Lucey · 2015–2017

A researcher in the Science corpus: 3 papers; trusts 305 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Chaoyang Wang trusts overall

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

  1. Ross B. Girshick
  2. Pablo Arbeláez
  3. Kaiming He
  4. Geoffrey E. Hinton
  5. Jitendra Malik
  6. Alex Krizhevsky
  7. Diederik P. Kingma
  8. David G. Lowe
  9. Piotr Doll'ar
  10. Yoshua Bengio

Who trusts Chaoyang Wang overall

  1. Richard Tucker
  2. Chengzhou Tang
  3. Clément Godard
  4. Shangzhe Wu
  5. Marvin Klingner
  6. Vitor Campanholo Guizilini
  7. Vincent Casser
  8. Ariel Gordon
  9. Loris Bazzani
  10. Chenxu Luo

Papers from Chaoyang Wang's perspective

Ordered by how strongly the researchers Chaoyang Wang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers