Amaël Delaunoy

Computer Vision and Pattern Recognition · 2008–2024

A researcher in the Science corpus: 3 papers; trusts 62 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Amaël Delaunoy trusts overall

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

  1. Anthony J. Yezzi Jr.
  2. Jean-Philippe Pons
  3. Pau Gargallo
  4. S. M. Seitz
  5. Manolis I. A. Lourakis
  6. Stefano Soatto
  7. Renaud Keriven
  8. Kalin S. Kolev
  9. Hoang-Hiep Vu
  10. Emmanuel Prados

Who trusts Amaël Delaunoy overall

  1. Chengzhou Tang
  2. Thomas Schöps
  3. Christian Häne
  4. Nikolay Savinov
  5. Shikun Liu
  6. Ping Tan
  7. Marc Pollefeys
  8. Torsten Sattler
  9. Lubor Ladicky
  10. Shubham Tulsiani

Papers from Amaël Delaunoy's perspective

Ordered by how strongly the researchers Amaël Delaunoy 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers