Antoine Biard

Computer Vision and Pattern Recognition · 2015

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

Subfields

• Computer Vision and Pattern Recognition — 19 citations into it; #21,464 of 21,575 by trust here, #4,525 by citations
• Artificial Intelligence — 9 citations into it

Whom Antoine Biard trusts overall

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

1. Yoshua Bengio
2. Alex Krizhevsky

Who trusts Antoine Biard overall

1. Mateusz Buda

Papers from Antoine Biard's perspective

Ordered by how strongly the researchers Antoine Biard 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. Gradient-based learning applied to document recognition
4. GradientBased Learning Applied to Document Recognition
5. Fully convolutional networks for semantic segmentation
6. DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
7. Visualizing and Understanding Convolutional Networks
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Brain tumor segmentation with Deep Neural Networks (2015) — 3,119 citations