Jean-François Aujol
Computer Vision and Pattern Recognition · 2005–2015
A researcher in the Science corpus: 5 papers; trusts 62 researchers and is trusted by 26 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 38 citations into it; #5,039 of 21,575 by trust here, #7,938 by citations
- Computational Mechanics — 11 citations into it; #1,837 of 10,001 by trust here, #3,029 by citations
- Computational Theory and Mathematics — 5 citations into it; #4,831 of 12,182 by trust here, #7,142 by citations
Whom Jean-François Aujol trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Antonin Chambolle
- Stanley J. Osher
- Stéphane Mallat
- Yves Meyer
- Luminita A. Vese
- David G. Lowe
- David L. Donoho
- Nathan Silberman
- Jamie Shotton
- Bernard Walter Silverman
Who trusts Jean-François Aujol overall
- Patrick L. Combettes
- Guy Gilboa
- Stanley J. Osher
- Xavier Bresson
- Tom Goldstein
- Christopher Zach
- Gilles Aubert
- Jean-Christophe Pesquet
- A. Buades
- Thomas Pock
Papers from Jean-François Aujol's perspective
Ordered by how strongly the researchers Jean-François Aujol trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Long Short-Term Memory
- Going deeper with convolutions
Their papers
- Structure-Texture Image Decomposition—Modeling, Algorithms, and Parameter Selection (2006) — 702 citations
- Scale Space and Variational Methods in Computer Vision (2015) — 88 citations
- Dual Norms and Image Decomposition Models (2005) — 386 citations
- A Variational Approach to Removing Multiplicative Noise (2008) — 585 citations
- Image Decomposition into a Bounded Variation Component and an Oscillating Component (2005) — 396 citations