Mohamed-Jalal Fadili
Computer Vision and Pattern Recognition · 2005–2014
A researcher in the Science corpus: 7 papers; trusts 53 researchers and is trusted by 42 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 67 citations into it; #5,395 of 21,575 by trust here, #8,831 by citations
- Computational Mechanics — 61 citations into it; #3,014 of 10,001 by trust here, #3,908 by citations
- Statistics and Probability — 22 citations into it
- Mathematical Physics — 18 citations into it; #2,892 of 8,562 by trust here, #2,387 by citations
- Optimization & Training — 15 citations into it; #1,318 of 2,601 by trust here, #1,766 by citations
- Signal Processing — 15 citations into it
- Computational Theory and Mathematics — 14 citations into it; #4,135 of 12,182 by trust here, #4,850 by citations
- Media Technology — 14 citations into it; #891 of 3,621 by trust here, #1,171 by citations
Whom Mohamed-Jalal Fadili trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David L. Donoho
- Jean-Luc Starck
- Stéphane Mallat
- Michael Elad
- Patrick L. Combettes
- E.J. Candes
- Ingrid Daubechies
- Paul Tseng
- Subir Ghosh
- Bradley Efron
Who trusts Mohamed-Jalal Fadili overall
- Jian-Feng Cai
- Zongben Xu
- G. Peyr'e
- G. Yu
- Manhua Liu
- Jianwei Ma
- Luis M. Briceño-Arias
- Peter J. Green
- Stanley J. Osher
- Jian Sun
Papers from Mohamed-Jalal Fadili's perspective
Ordered by how strongly the researchers Mohamed-Jalal Fadili 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
- 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
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Atomic Decomposition by Basis Pursuit
- Regression Shrinkage and Selection via the Lasso
- GENERATIVE ADVERSARIAL NETS
Their papers
- Inpainting and Zooming Using Sparse Representations (2009) — 360 citations
- A Generalized Forward-Backward Splitting (2011) — 402 citations
- Fractional Gaussian noise, functional MRI and Alzheimer's disease (2005) — 300 citations
- Stein Unbiased GrAdient estimator of the Risk (SUGAR) for Multiple Parameter Selection (2014) — 125 citations
- Wavelets, Ridgelets, and Curvelets for Poisson Noise Removal (2008) — 386 citations
- Morphological Component Analysis: An Adaptive Thresholding Strategy (2007) — 331 citations
- The Undecimated Wavelet Decomposition and its Reconstruction (2007) — 514 citations