Adrien Poulenard

Computer Vision and Pattern Recognition · 2018–2021

A researcher in the Science corpus: 2 papers; trusts 213 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 50 citations into it; #15,013 of 21,575 by trust here, #19,766 by citations
• Computational Mechanics — 40 citations into it; #6,757 of 10,001 by trust here, #6,582 by citations
• Geology — 18 citations into it
• Model Architectures — 18 citations into it
• 3D Vision & Pose — 16 citations into it
• Artificial Intelligence — 14 citations into it
• Aerospace Engineering — 13 citations into it
• Computer Graphics and Computer-Aided Design — 9 citations into it

Whom Adrien Poulenard trusts overall

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

1. Alex Krizhevsky
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Kaiming He
5. Davide Boscaini
6. Jonathan Masci
7. Ilya Sutskever
8. Yann LeCun
9. Michael M. Bronstein
10. Jimmy Ba

Who trusts Adrien Poulenard overall

1. Nicholas Sharp
2. Souhaib Attaiki
3. Maurice Weiler
4. Keenan Crane

Papers from Adrien Poulenard's perspective

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

Their papers

• Multi-directional geodesic neural networks via equivariant convolution (2018) — 103 citations
• Vector Neurons: A General Framework for SO(3)-Equivariant Networks (2021) — 435 citations