François Rameau

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 2 papers; trusts 191 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 61 citations into it
• Artificial Intelligence — 51 citations into it
• Model Architectures — 15 citations into it
• Optimization & Training — 11 citations into it

Whom François Rameau trusts overall

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

1. Kaiming He
2. Diederik P. Kingma
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. L. Eon Bottou
6. Ross B. Girshick
7. Karen Simonyan
8. Christian Szegedy
9. Jia Deng
10. Shaoqing Ren

Papers from François Rameau's perspective

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

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

Their papers

• ResNet or DenseNet? Introducing Dense Shortcuts to ResNet (2020) — 153 citations
• Unsupervised Intra-Domain Adaptation for Semantic Segmentation Through Self-Supervision (2020) — 410 citations