Nicolas Riche

Computer Vision and Pattern Recognition · 2013

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 15 citations into it
• Cognitive Neuroscience — 9 citations into it

Whom Nicolas Riche trusts overall

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

1. Ofir Pele
2. O. Le Meur
3. Ali Borji
4. Laurent Itti
5. Xiaodi Hou
6. Michael Werman
7. Tilke Judd
8. Chenlei Guo
9. Robert J. Peters
10. Liqing Zhang

Who trusts Nicolas Riche overall

1. Dmitry Nikulin
2. Ruohan Zhang
3. Marcella Cornia
4. Anastasia Ianina

Papers from Nicolas Riche's perspective

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

Their papers

• Saliency and Human Fixations: State-of-the-Art and Study of Comparison Metrics (2013) — 298 citations