Franck Davoine

Computer Vision and Pattern Recognition · 2013–2018

A researcher in the Science corpus: 3 papers; trusts 381 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 42 citations into it; #9,785 of 21,575 by trust here, #9,722 by citations
• Artificial Intelligence — 24 citations into it; #15,242 of 35,345 by trust here, #16,471 by citations
• Evaluation & Benchmarks — 10 citations into it
• Representation & Self-Supervised Learning — 8 citations into it
• Aerospace Engineering — 7 citations into it
• Optimization & Training — 6 citations into it

Whom Franck Davoine trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Ross B. Girshick
4. Geoffrey E. Hinton
5. Andrew Zisserman
6. Yoshua Bengio
7. Ilya Sutskever
8. Andreas Geiger
9. Pedro F. Felzenszwalb
10. Yann LeCun

Who trusts Franck Davoine overall

1. Mingsheng Long
2. Jianmin Wang
3. Dejing Dou
4. Xingjian Li
5. Chengzhong Xu
6. Jiashi Feng
7. Yifan Zhang
8. Jinwoo Shin
9. Minsu Cho
10. Sangwoo Mo

Papers from Franck Davoine's perspective

Ordered by how strongly the researchers Franck Davoine 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. Long Short-Term Memory
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Explicit Inductive Bias for Transfer Learning with Convolutional Networks (2018) — 447 citations
• Information Fusion on Oversegmented Images: An Application for Urban Scene Understanding (2013) — 21 citations
• Multimodal information fusion for urban scene understanding (2016) — 55 citations