João F. C. Mota

Orcid: 0000-0001-7263-8255

According to our database1, João F. C. Mota authored at least 51 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Sharper Bounds for Proximal Gradient Algorithms with Errors.
SIAM J. Optim., March, 2024

2023
Progressive Deep Image Compression for Hybrid Contexts of Image Classification and Reconstruction.
IEEE J. Sel. Areas Commun., 2023

The Rate-Distortion-Perception-Classification Tradeoff: Joint Source Coding and Modulation via Inverse-Domain GANs.
CoRR, 2023

A Low-Power Hardware-Friendly Optimisation Algorithm With Absolute Numerical Stability and Convergence Guarantees.
CoRR, 2023

The topology-overlap trade-off in retinal arteriole-venule segmentation.
Proceedings of the Medical Imaging 2023: Image Processing, 2023

MCNeT: Measurement-Consistent Networks Via A Deep Implicit Layer For Solving Inverse Problems.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Efficient Reconfigurable Mixed Precision ℓ <sub>1</sub> Solver for Compressive Depth Reconstruction.
J. Signal Process. Syst., 2022

Parallel Block Compressive LiDAR Imaging.
IEEE Trans. Computational Imaging, 2022

Robust RGB-Guided Super-Resolution of Hyperspectral Images via $\text{TV}^{3}$ Minimization.
IEEE Signal Process. Lett., 2022

Measurement-Consistent Networks via a Deep Implicit Layer for Solving Inverse Problems.
CoRR, 2022

Semantics-Guided Contrastive Joint Source-Channel Coding for Image Transmission.
Proceedings of the 14th International Conference on Wireless Communications and Signal Processing, 2022

Towards Tumour Graph Learning for Survival Prediction in Head & Neck Cancer Patients.
Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2022

2021
Robust Single-Image Super-Resolution via CNNs and TV-TV Minimization.
IEEE Trans. Image Process., 2021

Deep Supervoxel Segmentation for Survival Analysis in Head and Neck Cancer Patients.
Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2021

Enhanced Hyperspectral Image Super-Resolution via RGB Fusion and TV-TV Minimization.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Overcoming Measurement Inconsistency In Deep Learning For Linear Inverse Problems: Applications In Medical Imaging.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Coupled Dictionary Learning for Multi-Contrast MRI Reconstruction.
IEEE Trans. Medical Imaging, 2020

Multimodal Image Super-Resolution via Joint Sparse Representations Induced by Coupled Dictionaries.
IEEE Trans. Computational Imaging, 2020

2019
Image-Guided Depth Upsampling via Hessian and TV Priors.
CoRR, 2019

Compressive Super-Pixel LiDAR for High-Framerate 3D Depth Imaging.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

Single Image Super-Resolution via CNN Architectures and TV-TV Minimization.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018
Data aggregation and recovery for the Internet of Things: A compressive demixing approach.
Proceedings of the 2018 IEEE Wireless Communications and Networking Conference, 2018

2017
Compressed Sensing With Prior Information: Strategies, Geometry, and Bounds.
IEEE Trans. Inf. Theory, 2017

Multi-Modal Dictionary Learning for Image Separation With Application in Art Investigation.
IEEE Trans. Image Process., 2017

Heterogeneous Networked Data Recovery From Compressive Measurements Using a Copula Prior.
IEEE Trans. Commun., 2017

2016
Adaptive-Rate Reconstruction of Time-Varying Signals With Application in Compressive Foreground Extraction.
IEEE Trans. Signal Process., 2016

Measurement matrix design for compressive sensing with side information at the encoder.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Internet-of-Things data aggregation using compressed sensing with side information.
Proceedings of the 23rd International Conference on Telecommunications, 2016

X-ray image separation via coupled dictionary learning.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Reference-based compressed sensing: A sample complexity approach.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Coupled dictionary learning for multimodal image super-resolution.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Bayesian Compressed Sensing with Heterogeneous Side Information.
Proceedings of the 2016 Data Compression Conference, 2016

2015
Fast Desynchronization for Decentralized Multichannel Medium Access Control.
IEEE Trans. Commun., 2015

Distributed Optimization With Local Domains: Applications in MPC and Network Flows.
IEEE Trans. Autom. Control., 2015

Adaptive-Rate Sparse Signal Reconstruction With Application in Compressive Background Subtraction.
CoRR, 2015

Decentralized time-synchronized channel swapping.
Proceedings of the 14th International Conference on Information Processing in Sensor Networks, 2015

Decentralized multichannel medium access control: viewing desynchronization as a convex optimization method.
Proceedings of the 14th International Conference on Information Processing in Sensor Networks, 2015

Dynamic sparse state estimation using ℓ1-ℓ1 minimization: Adaptive-rate measurement bounds, algorithms and applications.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014
Compressed Sensing with Prior Information: Optimal Strategies, Geometry, and Bounds.
CoRR, 2014

Compressed sensing with side information: Geometrical interpretation and performance bounds.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

D-ADMM based distributed MPC with input-output models.
Proceedings of the 2014 IEEE Conference on Control Applications, 2014

2013
Communication-Efficient Algorithms For Distributed Optimization.
PhD thesis, 2013

D-ADMM: A Communication-Efficient Distributed Algorithm for Separable Optimization.
IEEE Trans. Signal Process., 2013

Distributed compressed sensing algorithms: Completing the puzzle.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

A unified algorithmic approach to distributed optimization.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

2012
Distributed Basis Pursuit.
IEEE Trans. Signal Process., 2012

D-ADMM: A distributed algorithm for compressed sensing and other separable optimization problems.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

ADMM for consensus on colored networks.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Distributed ADMM for model predictive control and congestion control.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011
Basis Pursuit in sensor networks.
Proceedings of the IEEE International Conference on Acoustics, 2011

2010
Efficient Methods for Point Matching with Known Camera Orientation.
Proceedings of the Image Analysis and Recognition, 7th International Conference, 2010


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