D-Index & Metrics Best Publications

Raja Giryes

Tel Aviv University
Israel

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name Citations Publications World Ranking National Ranking

Computer Science D-index 34 Citations 4,132 158 World Ranking 8234 National Ranking 146

Overview

What is he best known for?

The fields of study Raja Giryes is best known for:

JPEG
Algorithm
Demosaicing

His study looks at the relationship between Encoder and fields such as Operating system, as well as how they intersect with chemical problems. Raja Giryes performs multidisciplinary study in the fields of Plug and play and Operating system via his papers. His Minification study deals with Mathematical optimization intersecting with Greedy algorithm. His Greedy algorithm study frequently links to adjacent areas such as Mathematical optimization. His Scheme (mathematics) study deals with Mathematical analysis intersecting with Inverse problem and Generalization. While working in this field, Raja Giryes studies both Inverse problem and Deblurring. Raja Giryes regularly ties together related areas like Mathematical analysis in his Generalization studies. His study on Programming language is interrelated to topics such as Set (abstract data type), Pipeline (software) and Plug-in. His study brings together the fields of Programming language and Set (abstract data type).

His most cited work include:

MeshCNN (239 citations)
Robust Large Margin Deep Neural Networks (207 citations)
DeepISP: Toward Learning an End-to-End Image Processing Pipeline (153 citations)

What are the main themes of his work throughout his whole career to date

His work in Greedy algorithm addresses issues such as Algorithm, which are connected to fields such as Compressed sensing. He connects relevant research areas such as Artificial neural network and Deep learning in the realm of Machine learning. Raja Giryes conducts interdisciplinary study in the fields of Artificial neural network and Machine learning through his works. He combines topics linked to Adversarial system with his work on Artificial intelligence. Image (mathematics) is often connected to Noise (video) in his work. His study ties his expertise on Image (mathematics) together with the subject of Noise (video). Pattern recognition (psychology) and Artificial intelligence are commonly linked in his work. He undertakes multidisciplinary studies into Computer vision and Image processing in his work. Raja Giryes performs multidisciplinary study in the fields of Image processing and Image restoration via his papers.

Raja Giryes most often published in these fields:

Artificial intelligence (96.30%)
Image (mathematics) (48.15%)
Algorithm (44.44%)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

MeshCNN: a network with an edge

Rana Hanocka;Amir Hertz;Noa Fish;Raja Giryes.
ACM Transactions on Graphics (2019)

278 Citations

Robust Large Margin Deep Neural Networks

Jure Sokolic;Raja Giryes;Guillermo Sapiro;Miguel R. D. Rodrigues.
IEEE Transactions on Signal Processing (2017)

222 Citations

Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?

Raja Giryes;Guillermo Sapiro;Alex M. Bronstein.
IEEE Transactions on Signal Processing (2016)

191 Citations

Delta-encoder: an effective sample synthesis method for few-shot object recognition

Eli Schwartz;Leonid Karlinsky;Joseph Shtok;Sivan Harary.
neural information processing systems (2018)

174 Citations

RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection

Leonid Karlinsky;Joseph Shtok;Sivan Harary;Eli Schwartz.
computer vision and pattern recognition (2019)

170 Citations

DeepISP: Toward Learning an End-to-End Image Processing Pipeline

Eli Schwartz;Raja Giryes;Alex M. Bronstein.
IEEE Transactions on Image Processing (2019)

142 Citations

The projected GSURE for automatic parameter tuning in iterative shrinkage methods

Raja Giryes;Michael Elad;Yonina C. Eldar.
Applied and Computational Harmonic Analysis (2011)

139 Citations

Mathematics of Deep Learning

Rene Vidal;Joan Bruna;Raja Giryes;Stefano Soatto.
arXiv: Learning (2017)

130 Citations

Greedy-like algorithms for the cosparse analysis model

Raja Giryes;Sangnam Nam;Michael Elad;Rémi Gribonval.
Linear Algebra and its Applications (2014)

126 Citations

Image Restoration by Iterative Denoising and Backward Projections

Tom Tirer;Raja Giryes.
IEEE Transactions on Image Processing (2019)

121 Citations

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Frequent Co-Authors

External Links

Personal Website for Raja Giryes