Maxime Devanne
Computer Vision and Pattern Recognition · 2013–2015
A researcher in the Science corpus: 3 papers; trusts 23 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 41 citations into it; #16,157 of 21,575 by trust here, #8,409 by citations
- Human-Computer Interaction — 21 citations into it; #1,828 of 2,253 by trust here, #896 by citations
- Biomedical Engineering — 14 citations into it; #8,376 of 10,734 by trust here, #5,917 by citations
- Artificial Intelligence — 13 citations into it
- 3D Vision & Pose — 9 citations into it
Whom Maxime Devanne trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Xiaodong Yang
- Lu Xia
- Zicheng Liu
- Wanqing Li
- Jiang Wang
- Yingli Tian
- Omar Oreifej
- Jake K. Aggarwal
- I. Borg
- Zhengyou Zhang
Who trusts Maxime Devanne overall
- Liliana Lo Presti
- Fei Han
- Jun Liu
- Jacopo Cavazza
- Marco La Cascia
- Ioannis Kapsouras
- Adnan Al Alwani
- Boulbaba Ben Amor
- Diogo Carbonera Luvizon
- Zhi Liu
Papers from Maxime Devanne's perspective
Ordered by how strongly the researchers Maxime Devanne trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Going deeper with convolutions
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge