Baoyuan Wang

Computer Vision and Pattern Recognition · with Zhang · 2013–2023

A researcher in the Science corpus: 6 papers; trusts 445 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Baoyuan Wang trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Diederik P. Kingma
  4. Kaiming He
  5. Yoshua Bengio
  6. Ross B. Girshick
  7. Ilya Sutskever
  8. Yann LeCun
  9. Pedro F. Felzenszwalb
  10. Cordelia Schmid

Who trusts Baoyuan Wang overall

  1. Andrey D. Ignatov
  2. Xiaojiang Peng
  3. Amlan Kar

Papers from Baoyuan Wang's perspective

Ordered by how strongly the researchers Baoyuan 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. Long Short-Term Memory
  5. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  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