Thierry Blu
Computer Vision and Pattern Recognition · 2000–2020
A researcher in the Science corpus: 16 papers; trusts 57 researchers and is trusted by 58 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 80 citations into it; #3,569 of 21,575 by trust here, #3,875 by citations
- Media Technology — 39 citations into it; #919 of 3,621 by trust here, #1,079 by citations
- Computational Mechanics — 24 citations into it; #1,132 of 10,001 by trust here, #1,304 by citations
- Signal Processing — 19 citations into it; #1,258 of 7,572 by trust here, #1,055 by citations
- Statistics and Probability — 19 citations into it
- Numerical Methods & Scientific Computing — 12 citations into it
- Cognitive Neuroscience — 10 citations into it
- Applied Mathematics — 8 citations into it; #817 of 7,620 by trust here, #991 by citations
Whom Thierry Blu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Levent Sendur
- David L. Donoho
- Stéphane Mallat
- Michael Elad
- Antonin Chambolle
- Michael A. Unser
- Ivan W. Selesnick
- E.J. Candes
- Alessandro Foi
- Kostadin Dabov
Who trusts Thierry Blu overall
- Marco F. Duarte
- Michael A. Unser
- John Ashburner
- Yonina C. Eldar
- Erik H. W. Meijering
- Richard Baraniuk
- Philippe Thévenaz
- Florian Luisier
- Sathish Ramani
- Peter Lempel Søndergaard
Papers from Thierry Blu's perspective
Ordered by how strongly the researchers Thierry Blu 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
- A wavelet tour of signal processing
- ImageNet: A large-scale hierarchical image database
- 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)
- Gradient-based learning applied to document recognition
- The Design and Use of Steerable Filters
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries (IEEE Transactions on Image Processing)
Their papers
- Image interpolation and resampling (2000) — 439 citations
- A New SURE Approach to Image Denoising: Interscale Orthonormal Wavelet Thresholding (2007) — 694 citations
- Sparse Sampling of Signal Innovations (2008) — 455 citations
- Real-time terahertz imaging with a single-pixel detector (2020) — 410 citations
- Image Denoising in Mixed Poisson–Gaussian Noise (2011) — 503 citations
- Multi-Wiener SURE-LET Deconvolution (2013) — 70 citations
- Monte-Carlo Sure: A Black-Box Optimization of Regularization Parameters for General Denoising Algorithms (2008) — 409 citations
- Sampling Moments and Reconstructing Signals of Finite Rate of Innovation: Shannon Meets Strang–Fix (2007) — 468 citations
- WSPM: Wavelet-based statistical parametric mapping (2007) — 50 citations
- The SURE-LET Approach to Image Denoising (2007) — 415 citations
- Linear interpolation revitalized (2004) — 413 citations
- Integrated wavelet processing and spatial statistical testing of fMRI data (2004) — 78 citations
- Sampling signals with finite rate of innovation (2002) — 1,180 citations
- Fractional Splines and Wavelets (2000) — 344 citations
- Interpolation revisited [medical images application] (2000) — 837 citations
- Interpolation Revisited (2000) — 553 citations