Ghyslain Gagnon

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 138 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 56 citations into it; #19,515 of 21,575 by trust here, #16,787 by citations
• Artificial Intelligence — 31 citations into it; #31,782 of 35,345 by trust here, #25,809 by citations
• Statistical Learning Theory — 6 citations into it

Whom Ghyslain Gagnon trusts overall

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

1. Yoshua Bengio
2. Jerome H. Friedman
3. Geoffrey E. Hinton
4. Zhi-Hua Zhou
5. Razvan C. Bunescu
6. Alex Krizhevsky
7. L. Eon Bottou
8. Ross B. Girshick
9. Yann LeCun
10. Sally A. Goldman

Who trusts Ghyslain Gagnon overall

1. Mingxia Liu

Papers from Ghyslain Gagnon's perspective

Ordered by how strongly the researchers Ghyslain Gagnon 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Multiple instance learning: A survey of problem characteristics and applications (2016) — 750 citations