Antoine Plumerault

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 122 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it; #9,977 of 21,575 by trust here, #12,419 by citations
• Generative Models — 19 citations into it

Whom Antoine Plumerault trusts overall

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

1. Geoffrey E. Hinton
2. Yann LeCun
3. Alex Krizhevsky
4. Yoshua Bengio
5. Diederik P. Kingma
6. Kaiming He
7. Alec Radford
8. Ilya Sutskever
9. Karen Simonyan
10. Ross B. Girshick

Who trusts Antoine Plumerault overall

1. Andrey Voynov
2. Daiqing Li
3. Nurit Spingarn-Eliezer
4. Daniel Roich
5. Huan Ling
6. Xuhong Li
7. Artem Babenko
8. Karsten Kreis
9. Ron Banner
10. Ron Mokady

Papers from Antoine Plumerault's perspective

Ordered by how strongly the researchers Antoine Plumerault 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. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Going deeper with convolutions
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Controlling generative models with continuous factors of variations (2020) — 133 citations