Arno Schödl

Computer Vision and Pattern Recognition · 2000–2003

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 123 researchers here, as inferred from the citation graph.

Subfields

Whom Arno Schödl trusts overall

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

  1. Alexei A. Efros
  2. Thomas K. Leung
  3. Gianfranco Doretto
  4. Eric N. Mortensen
  5. Jeremy S. De Bonet
  6. Payam A. Saisan

Who trusts Arno Schödl overall

  1. Vladimir Kolmogorov
  2. Nikos Komodakis
  3. Lihi Zelnik-Manor
  4. Katherine Pullen
  5. Vivek Kwatra
  6. Ce Liu
  7. Yuri Boykov
  8. Li Zhang
  9. Michal Irani
  10. Ting-Chun Wang

Papers from Arno Schödl's perspective

Ordered by how strongly the researchers Arno Schödl 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers