Florian Nebout

Computer Vision and Pattern Recognition · 2014–2018

A researcher in the Science corpus: 3 papers; trusts 425 researchers and is trusted by 33 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 94 citations into it; #14,238 of 21,575 by trust here, #12,992 by citations
• Artificial Intelligence — 36 citations into it
• Human-Computer Interaction — 32 citations into it; #1,224 of 2,253 by trust here, #978 by citations
• Control and Systems Engineering — 15 citations into it
• Biomedical Engineering — 7 citations into it; #5,240 of 10,734 by trust here, #6,312 by citations
• Representation & Self-Supervised Learning — 6 citations into it
• Model Architectures — 5 citations into it
• Optimization & Training — 5 citations into it; #652 of 2,601 by trust here, #843 by citations

Whom Florian Nebout trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Yann LeCun
4. Nitish Srivastava
5. Ilya Sutskever
6. Ross B. Girshick
7. Yoshua Bengio
8. Ruslan Salakhutdinov
9. Kaiming He
10. Quoc V. Le

Who trusts Florian Nebout overall

1. Syed Waqas Zamir
2. Gabriella Csurka
3. Michael Y. Wang
4. Yunjin Chen
5. Nazli Ikizler-Cinbis
6. Aditya Arora
7. Vishal Monga
8. Anders Kaestner
9. Mrinal Haloi
10. Apostolos Chondronasios

Papers from Florian Nebout's perspective

Ordered by how strongly the researchers Florian Nebout 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. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
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-scale Deep Learning for Gesture Detection and Localization (2014) — 233 citations
• TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 1 ModDrop (2018)
• Hand Pose Estimation through Weakly-Supervised Learning of a Rich Intermediate Representation (2015) — 11 citations