Roberto Tron

Computer Vision and Pattern Recognition · 2007–2010

A researcher in the Science corpus: 3 papers; trusts 16 researchers and is trusted by 186 researchers here, as inferred from the citation graph.

Subfields

Whom Roberto Tron trusts overall

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

  1. René Vidal
  2. K. Kanatani
  3. Jingyu Yan
  4. Yi Ma
  5. Andrew Y. Ng
  6. Marc Pollefeys
  7. E.J. Candes
  8. S. Sastry
  9. Michael I. Jordan
  10. Andrew William Fitzgibbon

Who trusts Roberto Tron overall

  1. René Vidal
  2. Ehsan Elhamifar
  3. Guangcan Liu
  4. Paolo Favaro
  5. Zhouchen Lin
  6. Hossam N. Isack
  7. Muhamad Risqi U. Saputra
  8. Thomas Brox
  9. Shuicheng Yan
  10. Han Hu

Papers from Roberto Tron's perspective

Ordered by how strongly the researchers Roberto Tron 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. Long Short-Term Memory
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers