Amaury Dame

Computer Vision and Pattern Recognition · 2013

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Amaury Dame trusts overall

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

  1. Richard A. Newcombe
  2. Andrew J. Davison
  3. Georg S. W. Klein
  4. Pedro F. Felzenszwalb
  5. Victor Adrian Prisacariu
  6. Kevin Lai
  7. Ian David Reid
  8. Andy Tsai
  9. Ross B. Girshick
  10. David William Murray

Who trusts Amaury Dame overall

  1. Andreas Geiger
  2. João Carreira
  3. Ali O. Ulusoy
  4. Sara Alexandra Gomes Vicente
  5. Christopher Bongsoo Choy
  6. Edward James Smith
  7. JunYoung Gwak
  8. Christian Häne
  9. Abhishek Kar
  10. Moritz Menze

Papers from Amaury Dame's perspective

Ordered by how strongly the researchers Amaury Dame 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. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Object Detection with Discriminatively Trained Part Based Models
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Distinctive Image Features from Scale-Invariant Keypoints
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers