William Robson Schwartz

Computer Vision and Pattern Recognition · 2009–2018

A researcher in the Science corpus: 8 papers; trusts 289 researchers and is trusted by 169 researchers here, as inferred from the citation graph.

Subfields

Whom William Robson Schwartz trusts overall

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

  1. Chih-Jen Lin
  2. Navneet Dalal
  3. Robert Martin Haralick
  4. Andrew Zisserman
  5. Jitendra Malik
  6. Bill Triggs
  7. Geoffrey E. Hinton
  8. Radford M. Neal
  9. Alex Krizhevsky
  10. David G. Lowe

Who trusts William Robson Schwartz overall

  1. Wanli Ouyang
  2. Xiaogang Wang
  3. Bingpeng Ma
  4. Martin Hirzer
  5. Rui Zhao
  6. Chunhua Shen
  7. Davis E. King
  8. Apurva Gala
  9. Liang Zheng
  10. Lin Wu

Papers from William Robson Schwartz's perspective

Ordered by how strongly the researchers William Robson 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers