Louis Chevallier

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 36 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 13 citations into it
• Artificial Intelligence — 8 citations into it

Whom Louis Chevallier trusts overall

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

1. L. Eon Bottou
2. Kaiming He

Papers from Louis Chevallier's perspective

Ordered by how strongly the researchers Louis Chevallier trusts endorse each paper. Same corpus, a different order for every researcher.

1. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Dropout: a simple way to prevent neural networks from overfitting
5. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. CNN Features Off-the-Shelf: An Astounding Baseline for Recognition
10. Long Short-Term Memory

Their papers

• Learning the Structure of Deep Architectures Using L1 Regularization (2015) — 22 citations