Weimin Wang

Computer Vision and Pattern Recognition · with Feng · 2022

A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Weimin Wang trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Jonathan Ho
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Yann LeCun
  7. Kaiming He
  8. Karen Simonyan
  9. Ilya Sutskever
  10. Jimmy Ba

Who trusts Weimin Wang overall

  1. Andreas Blattmann
  2. Shiwei Zhang
  3. Yin-Yin He
  4. Haoxin Chen

Papers from Weimin Wang's perspective

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

Their papers