Wenshan Wang

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 2 papers; trusts 32 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wenshan Wang trusts overall

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

  1. Yann LeCun
  2. Geoffrey E. Hinton
  3. Karen Simonyan
  4. Alex Graves
  5. Yoshua Bengio
  6. Jakob J. Engel
  7. Chen Wang
  8. Navneet Dalal
  9. Alex Krizhevsky
  10. Andrew Zisserman

Who trusts Wenshan Wang overall

  1. Haofei Xu
  2. Zachary Teed
  3. Antoni Rosinol
  4. Vincent Leroy
  5. Peter Johanns
  6. René Ranftl
  7. Youqi Pan
  8. Shariq Farooq Bhat
  9. Jing Zhang
  10. Jia Deng

Papers from Wenshan Wang's perspective

Ordered by how strongly the researchers Wenshan 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers