Joshua D. Schwartz

Computer Vision and Pattern Recognition · 2007

A researcher in the Science corpus: 1 paper; trusts 32 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Joshua D. Schwartz trusts overall

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

  1. Thomas B. Sebastian
  2. Serge J. Belongie
  3. Vittorio Ferrari
  4. Longin Jan Latecki
  5. Elie Bienenstock
  6. Philip N. Klein
  7. Jitendra Malik
  8. Benjamin B. Kimia

Who trusts Joshua D. Schwartz overall

  1. Xiang Bai
  2. Jianxin Wu
  3. Fredrik Larsson
  4. Ming-Yu Liu
  5. Mahdyar Ravanbakhsh
  6. James M. Rehg
  7. Longin Jan Latecki

Papers from Joshua D. Schwartz's perspective

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

Their papers