Lionel Ott

Computer Vision and Pattern Recognition · 2016–2021

A researcher in the Science corpus: 3 papers; trusts 27 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Lionel Ott trusts overall

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

  1. Michael S. Floater
  2. Karen Simonyan
  3. Matthew D. Zeiler
  4. Mathieu Desbrun
  5. Ioan Alexandru Sucan
  6. Mark Moll
  7. Piotr Doll'ar
  8. Andrew Zisserman

Who trusts Lionel Ott overall

  1. Pei Sun
  2. Xingyi Zhou
  3. Yifu Zhang

Papers from Lionel Ott's perspective

Ordered by how strongly the researchers Lionel Ott trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. ImageNet Large Scale Visual Recognition Challenge
  6. ImageNet: A large-scale hierarchical image database
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Visualizing and Understanding Convolutional Networks

Their papers