Fabrizio Argenti
Computer Vision and Pattern Recognition · 2002–2013
A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 21 citations into it; #7,935 of 21,575 by trust here, #16,787 by citations
- Computational Mechanics — 11 citations into it
- Media Technology — 7 citations into it; #1,003 of 3,621 by trust here, #2,479 by citations
Whom Fabrizio Argenti trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David L. Donoho
- Stéphane Mallat
- Hua Xie
- Ridha Touzi
- Gilles Aubert
- Jianing Shi
- Yongjian Yu
- José M. Bioucas-Dias
- Gabriele Steidl
- Leland E. Pierce
Who trusts Fabrizio Argenti overall
- Puyang Wang
- Francesca Bovolo
- Sara Parrilli
- He Zhang
- Jong-Sen Lee
- Xiaoxiang Zhu
- Lorenzo Bruzzone
- Vishal M. Patel
- Alessandro Lapini
- Mariana Poderico
Papers from Fabrizio Argenti's perspective
Ordered by how strongly the researchers Fabrizio Argenti trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- De-noising by soft-thresholding
- A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
- Compressed Sensing
- ImageNet classification with deep convolutional neural networks
- Nonlinear total variation based noise removal algorithms
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Image quality assessment: from error visibility to structural similarity
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- A Tutorial on Speckle Reduction in Synthetic Aperture Radar Images (2013) — 516 citations
- Speckle removal from SAR images in the undecimated wavelet domain (2002) — 360 citations