Renaud Marlet

Computer Vision and Pattern Recognition · 2013–2020

A researcher in the Science corpus: 5 papers; trusts 714 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 139 citations into it; #17,549 of 21,575 by trust here, #14,478 by citations
• Artificial Intelligence — 57 citations into it
• Aerospace Engineering — 35 citations into it; #4,894 of 6,421 by trust here, #3,519 by citations
• Representation & Self-Supervised Learning — 19 citations into it
• Computational Mechanics — 18 citations into it; #3,778 of 10,001 by trust here, #8,566 by citations
• 3D Vision & Pose — 15 citations into it
• Computer Graphics and Computer-Aided Design — 12 citations into it; #596 of 1,584 by trust here, #1,385 by citations
• Meta & Continual Learning — 11 citations into it

Whom Renaud Marlet trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. David G. Lowe
4. Geoffrey E. Hinton
5. Yann LeCun
6. Alex Krizhevsky
7. Yoshua Bengio
8. Christian Szegedy
9. Diederik P. Kingma
10. Ilya Sutskever

Who trusts Renaud Marlet overall

1. Alexandre Boulch
2. Paul Guerrero
3. Bertrand Le Saux
4. Kyle Wilson

Papers from Renaud Marlet's perspective

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

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

Their papers

• Global Fusion of Relative Motions for Robust, Accurate and Scalable Structure from Motion (2013) — 393 citations
• OpenMVG: Open Multiple View Geometry (2016) — 416 citations
• Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild (2020) — 421 citations
• Efficient 2D and 3D Facade Segmentation Using Auto-Context (2016) — 73 citations
• Deep Learning for Robust Normal Estimation in Unstructured Point Clouds (2016) — 164 citations