François Goulette
Computer Vision and Pattern Recognition · 2017–2019
A researcher in the Science corpus: 2 papers; trusts 38 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 42 citations into it
- Computational Mechanics — 39 citations into it; #7,821 of 10,001 by trust here, #1,325 by citations
- Geology — 32 citations into it; #537 of 687 by trust here, #132 by citations
- Environmental Engineering — 22 citations into it; #3,896 of 5,479 by trust here, #3,797 by citations
- Aerospace Engineering — 21 citations into it
Whom François Goulette trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts François Goulette overall
Papers from François Goulette's perspective
Ordered by how strongly the researchers François Goulette trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet: A large-scale hierarchical image database
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
Their papers
- KPConv: Flexible and Deformable Convolution for Point Clouds (2019) — 3,358 citations
- Paris-Lille-3D: A large and high-quality ground-truth urban point cloud dataset for automatic segmentation and classification (2017) — 330 citations