Vincent Le Guen
Computer Vision and Pattern Recognition · 2020
A researcher in the Science corpus: 1 paper; trusts 425 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 40 citations into it
- Artificial Intelligence — 35 citations into it
- Statistical and Nonlinear Physics — 14 citations into it
- Generative Models — 12 citations into it
- Representation & Self-Supervised Learning — 8 citations into it
- AI for Physical Sciences — 7 citations into it
- Model Architectures — 7 citations into it
- Reinforcement Learning — 5 citations into it
Whom Vincent Le Guen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Ilya Sutskever
- Yoshua Bengio
- Alex Krizhevsky
- Diederik P. Kingma
- Yann LeCun
- Sepp Hochreiter
- Kaiming He
- Oriol Vinyals
- J. Urgen Schmidhuber
Who trusts Vincent Le Guen overall
Papers from Vincent Le Guen's perspective
Ordered by how strongly the researchers Vincent Le Guen trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Disentangling Physical Dynamics From Unknown Factors for Unsupervised Video Prediction (2020) — 426 citations