Lucas Fidon

Artificial Intelligence · 2017

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it; #20,107 of 21,575 by trust here, #9,435 by citations

Whom Lucas Fidon trusts overall

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

1. Kaiming He
2. Diederik P. Kingma
3. Sergey Ioffe

Who trusts Lucas Fidon overall

1. Guotai Wang
2. Md. Zahangir Alom

Papers from Lucas Fidon's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
4. ImageNet classification with deep convolutional neural networks
5. Gradient-based learning applied to document recognition
6. Going deeper with convolutions
7. Long Short-Term Memory
8. ImageNet Large Scale Visual Recognition Challenge
9. ImageNet: A large-scale hierarchical image database
10. Identity Mappings in Deep Residual Networks

Their papers

• NiftyNet: a deep-learning platform for medical imaging (2017) — 565 citations
• On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task (2017) — 364 citations