Peter Ochs

Computer Vision and Pattern Recognition · 2014–2016

A researcher in the Science corpus: 4 papers; trusts 49 researchers and is trusted by 212 researchers here, as inferred from the citation graph.

Subfields

Whom Peter Ochs trusts overall

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

  1. Thomas Pock
  2. Antonin Chambolle
  3. Geoffrey E. Hinton
  4. Yurii E. Nesterov
  5. Felipe Alvarez
  6. Patrick L. Combettes
  7. Dong C. Liu
  8. Yann LeCun
  9. Diederik P. Kingma
  10. Pierre-Louis Lions

Who trusts Peter Ochs overall

  1. Wenguan Wang
  2. Pavel Tokmakov
  3. Mennatullah Siam
  4. Yunjin Chen
  5. Stephen Gould
  6. Ning Xu
  7. Linjie Yang
  8. Nicolas Loizou
  9. Thomas Pock
  10. Eddy Ilg

Papers from Peter Ochs's perspective

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

Their papers