Charles Kervrann
Computer Vision and Pattern Recognition · 2005–2015
A researcher in the Science corpus: 8 papers; trusts 470 researchers and is trusted by 22 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 148 citations into it; #5,417 of 21,575 by trust here, #7,499 by citations
- Media Technology — 31 citations into it; #568 of 3,621 by trust here, #693 by citations
- Computational Mechanics — 28 citations into it
- Biophysics — 21 citations into it
- Computer Graphics and Computer-Aided Design — 14 citations into it
- Aerospace Engineering — 13 citations into it
- Statistics and Probability — 9 citations into it
- Mathematical Physics — 7 citations into it
Whom Charles Kervrann trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David L. Donoho
- Antonio Criminisi
- Antonin Chambolle
- A. Buades
- Erwan Le Pennec
- Alexei A. Efros
- Danny Barash
- Dorin Comaniciu
- Stefan Roth
- Stéphane Mallat
Who trusts Charles Kervrann overall
- Peyman Milanfar
- Priyam Chatterjee
- Vladimir Katkovnik
- Kostadin Dabov
- Alessandro Foi
- Joseph Salmon
- Jérôme Boulanger
- Stanislav Pyatykh
- Pierrick Coupé
- Lei Zhang
Papers from Charles Kervrann's perspective
Ordered by how strongly the researchers Charles Kervrann trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Optimal Spatial Adaptation for Patch-Based Image Denoising (2006) — 487 citations
- An Optimized Blockwise Nonlocal Means Denoising Filter for 3-D Magnetic Resonance Images (2008) — 1,201 citations
- Objective comparison of particle tracking methods (2014) — 892 citations
- Optical flow modeling and computation: A survey (2015) — 453 citations
- Inaugural Article: From the Cover: Fast live simultaneous multiwavelength four-dimensional optical microscopy (2010) — 154 citations
- Patch-Based Nonlocal Functional for Denoising Fluorescence Microscopy Image Sequences (2010) — 303 citations
- Nonlocal Means-Based Speckle Filtering for Ultrasound Images (2009) — 568 citations
- Local adaptivity to variable smoothness for exemplar-based image denoising and representation (2005) — 57 citations