Weijun Wang

Computer Vision and Pattern Recognition · with Adam · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 118 researchers and is trusted by 1,314 researchers here, as inferred from the citation graph.

Subfields

Whom Weijun Wang trusts overall

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

  1. Geoffrey E. Hinton
  2. Christian Szegedy
  3. Kaiming He
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Sergey Ioffe
  7. Karen Simonyan
  8. Ross B. Girshick
  9. Yann LeCun
  10. Ilya Sutskever

Who trusts Weijun Wang overall

  1. Liang-Chieh Chen
  2. Jiahui Yu
  3. Sachin Mehta
  4. Ji Lin
  5. Quoc V. Le
  6. Mingxing Tan
  7. Han Cai
  8. Kai Han
  9. Christoph Feichtenhofer
  10. Chien-Yao Wang

Papers from Weijun Wang's perspective

Ordered by how strongly the researchers Weijun 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. ImageNet Large Scale Visual Recognition Challenge
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers