1 code implementation • 8 May 2013 • João F. C. Mota, João M. F. Xavier, Pedro M. Q. Aguiar, Markus Püschel
Our contribution is a communication-efficient distributed algorithm that finds a vector $x^\star$ minimizing the sum of all the functions.
Optimization and Control Information Theory Information Theory
1 code implementation • 13 Jun 2021 • Marija Vella, BoWen Zhang, Wei Chen, João F. C. Mota
Such methods, however, cannot guarantee that the input measurements are satisfied in the recovered image, since the learned parameters by the network are applied to every test image.
1 code implementation • 10 Oct 2014 • João F. C. Mota, Nikos Deligiannis, Miguel R. D. Rodrigues
We address the problem of Compressed Sensing (CS) with side information.
2 code implementations • 11 Jul 2019 • Marija Vella, João F. C. Mota
Super-resolution (SR) is a technique that allows increasing the resolution of a given image.
1 code implementation • 2 Apr 2020 • Marija Vella, João F. C. Mota
Single-image super-resolution is the process of increasing the resolution of an image, obtaining a high-resolution (HR) image from a low-resolution (LR) one.
1 code implementation • 25 Sep 2017 • Pingfan Song, Xin Deng, João F. C. Mota, Nikos Deligiannis, Pier Luigi Dragotti, Miguel R. D. Rodrigues
This paper proposes a new approach to construct a high-resolution (HR) version of a low-resolution (LR) image given another HR image modality as reference, based on joint sparse representations induced by coupled dictionaries.
1 code implementation • 29 Nov 2020 • Marija Vella, João F. C. Mota
We then propose a framework that post-processes the output of DNNs with an optimization algorithm that enforces measurement consistency.
no code implementations • 20 May 2016 • Nikos Deligiannis, João F. C. Mota, Bruno Cornelis, Miguel R. D. Rodrigues, Ingrid Daubechies
In support of art investigation, we propose a new source sepa- ration method that unmixes a single X-ray scan acquired from double-sided paintings.
no code implementations • 6 Nov 2022 • Rahul Mourya, João F. C. Mota
To overcome this, we propose a framework that transforms any DNN for inverse problems into a measurement-consistent one.
no code implementations • 22 Dec 2023 • Junli Fang, João F. C. Mota, Baoshan Lu, Weicheng Zhang, Xuemin Hong
The joint source coding and modulation (JSCM) framework was enabled by recent developments in deep learning, which allows to automatically learn from data, and in an end-to-end fashion, the best compression codes and modulation schemes.