Raoul de Charette

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 206 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 35 citations into it; #14,353 of 21,575 by trust here, #19,310 by citations
• Computational Mechanics — 17 citations into it; #6,410 of 10,001 by trust here, #8,258 by citations
• 3D Vision & Pose — 13 citations into it; #495 of 689 by trust here, #648 by citations
• Aerospace Engineering — 10 citations into it

Whom Raoul de Charette trusts overall

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

1. Fisher Yu
2. Geoffrey E. Hinton
3. Kaiming He
4. Alex Krizhevsky
5. Ilya Loshchilov
6. Ross B. Girshick
7. Yoshua Bengio
8. Diederik P. Kingma
9. Mingxing Tan
10. Yann LeCun

Who trusts Raoul de Charette overall

1. Yunpeng Zhang
2. Chaozheng Wu
3. Yi Wei
4. Zhengbiao Zhu
5. Yiming Li

Papers from Raoul de Charette's perspective

Ordered by how strongly the researchers Raoul de Charette 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. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
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

• MonoScene: Monocular 3D Semantic Scene Completion (2021) — 497 citations