Florian Luisier
Computer Vision and Pattern Recognition · 2007–2015
A researcher in the Science corpus: 5 papers; trusts 245 researchers and is trusted by 16 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 101 citations into it; #6,502 of 21,575 by trust here, #8,205 by citations
- Media Technology — 38 citations into it; #1,328 of 3,621 by trust here, #1,550 by citations
- Artificial Intelligence — 19 citations into it; #19,247 of 35,345 by trust here, #19,018 by citations
- Computational Mechanics — 18 citations into it
- Signal Processing — 10 citations into it
- Statistics and Probability — 10 citations into it
- Probabilistic & Bayesian Methods — 7 citations into it
- Biomedical Engineering — 6 citations into it; #7,627 of 10,734 by trust here, #10,052 by citations
Whom Florian Luisier trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Levent Sendur
- David L. Donoho
- Michael Elad
- Antonin Chambolle
- Ivan W. Selesnick
- Stéphane Mallat
- Javier Portilla
- David G. Lowe
- Alex Krizhevsky
- Eero P. Simoncelli
Who trusts Florian Luisier overall
- Thierry Blu
- Ajay Kumar Boyat
- Michael A. Unser
- Feng Xue
- Basura Fernando
- Sathish Ramani
- Kyong Hwan Jin
- Hiroyuki Takeda
- Peyman Milanfar
- Carl Vondrick
Papers from Florian Luisier's perspective
Ordered by how strongly the researchers Florian Luisier 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)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Going deeper with convolutions
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Exploiting Image-trained CNN Architectures for Unconstrained Video Classification (2015) — 209 citations
- A New SURE Approach to Image Denoising: Interscale Orthonormal Wavelet Thresholding (2007) — 694 citations
- Image Denoising in Mixed Poisson–Gaussian Noise (2011) — 503 citations
- Multi-Wiener SURE-LET Deconvolution (2013) — 70 citations
- The SURE-LET Approach to Image Denoising (2007) — 415 citations