Charles Otto

Computer Vision and Pattern Recognition · 2014–2018

A researcher in the Science corpus: 3 papers; trusts 53 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Charles Otto trusts overall

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

  1. Paul A. Viola
  2. Yun Fu
  3. Yoav Freund
  4. Guo-qing Guo
  5. Maximilian Riesenhuber
  6. Neeraj Kumar
  7. Xin Geng
  8. Narayanan Ramanathan
  9. Chengjun Liu
  10. Gary B. Huang

Who trusts Charles Otto overall

  1. Yi Sun
  2. Mahmoud Afifi
  3. Kihyuk Sohn
  4. Hu Han

Papers from Charles Otto's perspective

Ordered by how strongly the researchers Charles Otto 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. ImageNet classification with deep convolutional neural networks
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Going deeper with convolutions
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers