Guillaume Seguin
Computer Vision and Pattern Recognition · 2016
A researcher in the Science corpus: 1 paper; trusts 255 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 30 citations into it
Whom Guillaume Seguin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Francis R. Bach
- Ross B. Girshick
- Jitendra Malik
- Jianbo Shi
- Geoffrey E. Hinton
- Armand Joulin
- Alex Krizhevsky
- Kaiming He
- Yoshua Bengio
- Yann LeCun
Who trusts Guillaume Seguin overall
- Antoine Miech
- Thomas Kerdreux
- Jean-Baptiste Alayrac
- Paul Voigtlaender
- Alexandre d'Aspremont
- Ivan Laptev
Papers from Guillaume Seguin's perspective
Ordered by how strongly the researchers Guillaume Seguin 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
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Instance-Level Video Segmentation from Object Tracks (2016) — 37 citations