Robert Wang

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 37 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Robert Wang trusts

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

  1. Kaiming He (in Computer Vision and Pattern Recognition)
  2. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  3. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  4. X. Zhang (in Computer Vision and Pattern Recognition)
  5. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  6. Jitendra Malik (in Computer Vision and Pattern Recognition)
  7. Li Fei-Fei (in Computer Vision and Pattern Recognition)
  8. Karen Simonyan (in Computer Vision and Pattern Recognition)
  9. Ivan Laptev (in Computer Vision and Pattern Recognition)
  10. Alex Krizhevsky (in Computer Vision and Pattern Recognition)

Papers from Robert Wang's perspective

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

Their papers