Dominique Maniry

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 45 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Dominique Maniry trusts overall

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

  1. A. Bovik
  2. Yann LeCun
  3. Ross B. Girshick
  4. Diederik P. Kingma
  5. Karen Simonyan
  6. Geoffrey E. Hinton
  7. Zhou Wang
  8. Anush K. Moorthy
  9. Yoshua Bengio
  10. Alex Krizhevsky

Who trusts Dominique Maniry overall

  1. Weixia Zhang
  2. Kede Ma
  3. Simon Wiedemann
  4. Jianyi Wang
  5. S. Alireza Golestaneh
  6. Weihao Xia
  7. Ekta Prashnani
  8. Keyan Ding

Papers from Dominique Maniry's perspective

Ordered by how strongly the researchers Dominique Maniry 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. ImageNet Large Scale Visual Recognition Challenge
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Long Short-Term Memory
  10. Learning Multiple Layers of Features from Tiny Images

Their papers