Nicolas Bonneel

Computer Vision and Pattern Recognition · 2011–2017

A researcher in the Science corpus: 4 papers; trusts 12 researchers and is trusted by 24 researchers here, as inferred from the citation graph.

Subfields

Whom Nicolas Bonneel trusts overall

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

  1. Cédric Villani
  2. Robert J. McCann
  3. Wojciech Matusik
  4. Steven Haker
  5. Jean-David Benamou
  6. Patrick Pérez
  7. Lei Zhu
  8. Yann Brenier
  9. Allen R. Tannenbaum
  10. Jonathan T. Barron

Who trusts Nicolas Bonneel overall

  1. Soheil Kolouri
  2. Mohammad Rostami
  3. G. Peyr'e
  4. Jérémie Bigot
  5. Nicolas Courty
  6. Max Sommerfeld
  7. Yoav Zemel
  8. Zhengqi Li
  9. Yingtao Tian
  10. Thierry Klein

Papers from Nicolas Bonneel's perspective

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

Their papers