Daniel Glasner

Computer Vision and Pattern Recognition · 2009–2023

A researcher in the Science corpus: 4 papers; trusts 157 researchers and is trusted by 663 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel Glasner trusts overall

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

  1. Raanan Fattal
  2. David P. Capel
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. William T. Freeman
  6. Simon Baker
  7. Kaiming He
  8. Yann LeCun
  9. Yoshua Bengio
  10. Diederik P. Kingma

Who trusts Daniel Glasner overall

  1. Radu Timofte
  2. Kaiming He
  3. Chih-Yuan Yang
  4. Tomer Michaeli
  5. Luc Van Gool
  6. Ming-Hsuan Yang
  7. Jia-Bin Huang
  8. Kai Zhang
  9. Michal Irani
  10. Jiwon Kim

Papers from Daniel Glasner's perspective

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

Their papers