Christian Thériault

Computer Vision and Pattern Recognition · 2013

A researcher in the Science corpus: 1 paper; trusts 139 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 17 citations into it; #13,808 of 21,575 by trust here, #19,310 by citations
• Artificial Intelligence — 7 citations into it
• Representation & Self-Supervised Learning — 6 citations into it
• Cognitive Neuroscience — 5 citations into it

Whom Christian Thériault trusts overall

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

1. David G. Lowe
2. Yoshua Bengio
3. Navneet Dalal
4. Ivan Laptev
5. Andrew Zisserman
6. Marcin Marszalek
7. Aude Oliva
8. Josef Sivic
9. Geoffrey E. Hinton
10. Laurenz Wiskott

Who trusts Christian Thériault overall

1. Christoph Feichtenhofer
2. Axel Pinz
3. Richard P. Wildes

Papers from Christian Thériault's perspective

Ordered by how strongly the researchers Christian Thériault 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. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Dynamic Scene Classification: Learning Motion Descriptors with Slow Features Analysis (2013) — 83 citations