Marc Bosch

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Marc Bosch trusts overall

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

  1. Heiko Hirschmüller
  2. François Chollet
  3. Daniel Scharstein
  4. Moritz Menze
  5. Liang-Chieh Chen
  6. Kaiming He
  7. Gao Huang
  8. Tsung-Yi Lin
  9. Geoffrey E. Hinton
  10. Alex Krizhevsky

Papers from Marc Bosch's perspective

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

Their papers