Denis Fortun

Computer Vision and Pattern Recognition · 2015–2017

A researcher in the Science corpus: 2 papers; trusts 304 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 73 citations into it
• Computational Mechanics — 14 citations into it
• Aerospace Engineering — 11 citations into it
• Computer Graphics and Computer-Aided Design — 7 citations into it
• Computational Theory and Mathematics — 6 citations into it
• Media Technology — 5 citations into it

Whom Denis Fortun trusts overall

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

1. Kaiming He
2. Vladimir Kolmogorov
3. Antonin Chambolle
4. Deqing Sun
5. Ce Liu
6. Thomas Brox
7. Michael J. Black
8. Jitendra Malik
9. Thomas Pock
10. David G. Lowe

Papers from Denis Fortun's perspective

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

Their papers

• DeconvolutionLab2: An open-source software for deconvolution microscopy. (2017) — 539 citations
• Optical flow modeling and computation: A survey (2015) — 453 citations