Gabriel Fricout

Computer Vision and Pattern Recognition · 2012–2013

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it; #14,040 of 21,575 by trust here, #12,419 by citations

Whom Gabriel Fricout trusts overall

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

1. Dan Claudiu Ciresan

Who trusts Gabriel Fricout overall

1. Pedro H. O. Pinheiro
2. J. Urgen Schmidhuber

Papers from Gabriel Fricout's perspective

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

1. Gradient-based learning applied to document recognition
2. Histograms of oriented gradients for human detection
3. Learning internal representations by error propagation
4. What is the best multi-stage architecture for object recognition?
5. Best practices for convolutional neural networks applied to visual document analysis
6. Learning Hierarchical Features for Scene Labeling
7. ImageNet classification with deep convolutional neural networks
8. Deep Neural Networks Segment Neuronal Membranes in Electron Microscopy Images
9. Representing shape with a spatial pyramid kernel
10. Fast approximate energy minimization via graph cuts

Their papers

• Steel defect classification with Max-Pooling Convolutional Neural Networks (2012) — 296 citations
• A fast learning algorithm for image segmentation with max-pooling convolutional networks (2013) — 78 citations