João F. C. Mota

According to our database, João F. C. Mota authored at least 53 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Classification-Driven Discrete Neural Representation Learning for Semantic Communications.

Wenhui Hua, Longhui Xiong, Sicong Liu, Lingyu Chen, Xuemin Hong, João F. C. Mota, Xiang Cheng

IEEE Internet Things J., May, 2024

Sharper Bounds for Proximal Gradient Algorithms with Errors.

Anis Hamadouche, Yun Wu, Andrew M. Wallace, João F. C. Mota

SIAM J. Optim., March, 2024

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

Junli Fang, João F. C. Mota, Baoshan Lu, Weicheng Zhang, Xuemin Hong

IEEE Trans. Signal Process., 2024

Reconfigurable FPGA-Based Solvers For Sparse Satellite Control.

Anis Hamadouche, Yun Wu, Mathini Sellathurai, Andrew M. Wallace, João F. C. Mota

CoRR, 2024

2023

Progressive Deep Image Compression for Hybrid Contexts of Image Classification and Reconstruction.

Zhongyue Lei, Peng Duan, Xuemin Hong, João F. C. Mota, Jianghong Shi, Cheng-Xiang Wang

IEEE J. Sel. Areas Commun., 2023

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

Anis Hamadouche, Yun Wu, Andrew M. Wallace, João F. C. Mota

CoRR, 2023

The topology-overlap trade-off in retinal arteriole-venule segmentation.

Ángel Víctor Juanco-Müller, João F. C. Mota, Keith A. Goatman, Corné Hoogendoorn

Proceedings of the Medical Imaging 2023: Image Processing, 2023

MCNeT: Measurement-Consistent Networks Via A Deep Implicit Layer For Solving Inverse Problems.

Rahul Mourya, João F. C. Mota

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Efficient Reconfigurable Mixed Precision ℓ ₁ Solver for Compressive Depth Reconstruction.

Yun Wu, Andrew M. Wallace, João F. C. Mota, Andreas Aßmann, Brian Stewart

J. Signal Process. Syst., 2022

Parallel Block Compressive LiDAR Imaging.

Andreas Aßmann, João F. C. Mota, Brian Stewart, Andrew M. Wallace

IEEE Trans. Computational Imaging, 2022

Robust RGB-Guided Super-Resolution of Hyperspectral Images via $\text{TV}^{3}$ Minimization.

Weixiao Wan, Bowen Zhang, Marija Vella, João F. C. Mota, Wei Chen

IEEE Signal Process. Lett., 2022

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

Rahul Mourya, João F. C. Mota

CoRR, 2022

Semantics-Guided Contrastive Joint Source-Channel Coding for Image Transmission.

Wenhui Hua, Dezhao Chen, Junli Fang, Lingyu Chen, João F. C. Mota, Xuemin Hong

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.

Ángel Víctor Juanco-Müller, João F. C. Mota, Keith A. Goatman, Corné Hoogendoorn

Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2022

2021

Robust Single-Image Super-Resolution via CNNs and TV-TV Minimization.

Marija Vella, João F. C. Mota

IEEE Trans. Image Process., 2021

Deep Supervoxel Segmentation for Survival Analysis in Head and Neck Cancer Patients.

Ángel Víctor Juanco-Müller, João F. C. Mota, Keith A. Goatman, Corné Hoogendoorn

Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2021

Enhanced Hyperspectral Image Super-Resolution via RGB Fusion and TV-TV Minimization.

Marija Vella, Bowen Zhang, Wei Chen, João F. C. Mota

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.

Marija Vella, João F. C. Mota

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Coupled Dictionary Learning for Multi-Contrast MRI Reconstruction.

Pingfan Song, Lior Weizman, João F. C. Mota, Yonina C. Eldar, Miguel R. D. Rodrigues

IEEE Trans. Medical Imaging, 2020

Multimodal Image Super-Resolution via Joint Sparse Representations Induced by Coupled Dictionaries.

Pingfan Song, Xin Deng, João F. C. Mota, Nikos Deligiannis, Pier Luigi Dragotti, Miguel R. D. Rodrigues

IEEE Trans. Computational Imaging, 2020

2019

Image-Guided Depth Upsampling via Hessian and TV Priors.

Alireza Ahrabian, João F. C. Mota, Andrew M. Wallace

CoRR, 2019

Compressive Super-Pixel LiDAR for High-Framerate 3D Depth Imaging.

Andreas Aßmann, Brian Stewart, João F. C. Mota, Andrew M. Wallace

Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

Single Image Super-Resolution via CNN Architectures and TV-TV Minimization.

Marija Vella, João F. C. Mota

Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018

Data aggregation and recovery for the Internet of Things: A compressive demixing approach.

Evangelos Zimos, João F. C. Mota, Evaggelia Tsiligianni, Miguel R. D. Rodrigues, Nikos Deligiannis

Proceedings of the 2018 IEEE Wireless Communications and Networking Conference, 2018

2017

Compressed Sensing With Prior Information: Strategies, Geometry, and Bounds.

João F. C. Mota, Nikos Deligiannis, Miguel R. D. Rodrigues

IEEE Trans. Inf. Theory, 2017

Multi-Modal Dictionary Learning for Image Separation With Application in Art Investigation.

Nikos Deligiannis, João F. C. Mota, Bruno Cornelis, Miguel R. D. Rodrigues, Ingrid Daubechies

IEEE Trans. Image Process., 2017

Heterogeneous Networked Data Recovery From Compressive Measurements Using a Copula Prior.

Nikos Deligiannis, João F. C. Mota, Evangelos Zimos, Miguel R. D. Rodrigues

IEEE Trans. Commun., 2017

2016

Adaptive-Rate Reconstruction of Time-Varying Signals With Application in Compressive Foreground Extraction.

João F. C. Mota, Nikos Deligiannis, Aswin C. Sankaranarayanan, Volkan Cevher, Miguel R. D. Rodrigues

IEEE Trans. Signal Process., 2016

Measurement matrix design for compressive sensing with side information at the encoder.

Pingfan Song, João F. C. Mota, Nikos Deligiannis, Miguel Raul Dias Rodrigues

Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Internet-of-Things data aggregation using compressed sensing with side information.

Evangelos Zimos, João F. C. Mota, Miguel R. D. Rodrigues, Nikos Deligiannis

Proceedings of the 23rd International Conference on Telecommunications, 2016

X-ray image separation via coupled dictionary learning.

Nikos Deligiannis, João F. C. Mota, Bruno Cornelis, Miguel R. D. Rodrigues, Ingrid Daubechies

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Reference-based compressed sensing: A sample complexity approach.

João F. C. Mota, Lior Weizman, Nikos Deligiannis, Yonina C. Eldar, Miguel R. D. Rodrigues

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Coupled dictionary learning for multimodal image super-resolution.

Pingfan Song, João F. C. Mota, Nikos Deligiannis, Miguel R. D. Rodrigues

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Bayesian Compressed Sensing with Heterogeneous Side Information.

Evangelos Zimos, João F. C. Mota, Miguel R. D. Rodrigues, Nikos Deligiannis

Proceedings of the 2016 Data Compression Conference, 2016

2015

Fast Desynchronization for Decentralized Multichannel Medium Access Control.

Nikos Deligiannis, João F. C. Mota, George Smart, Yiannis Andreopoulos

IEEE Trans. Commun., 2015

Distributed Optimization With Local Domains: Applications in MPC and Network Flows.

João F. C. Mota, João M. F. Xavier, Pedro M. Q. Aguiar, Markus Püschel

IEEE Trans. Autom. Control., 2015

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

João F. C. Mota, Nikos Deligiannis, Aswin C. Sankaranarayanan, Volkan Cevher, Miguel R. D. Rodrigues

CoRR, 2015

Decentralized time-synchronized channel swapping.

George Smart, Nikos Deligiannis, João F. C. Mota, Yiannis Andreopoulos

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.

Nikos Deligiannis, João F. C. Mota, George Smart, Yiannis Andreopoulos

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.

João F. C. Mota, Nikos Deligiannis, Aswin C. Sankaranarayanan, Volkan Cevher, Miguel R. D. Rodrigues

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014

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

João F. C. Mota, Nikos Deligiannis, Miguel R. D. Rodrigues

CoRR, 2014

Compressed sensing with side information: Geometrical interpretation and performance bounds.

João F. C. Mota, Nikos Deligiannis, Miguel R. D. Rodrigues

Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

D-ADMM based distributed MPC with input-output models.

Rafael P. Costa, João Miranda Lemos, João F. C. Mota, João M. F. Xavier

Proceedings of the 2014 IEEE Conference on Control Applications, 2014

2013

Communication-Efficient Algorithms For Distributed Optimization.

João F. C. Mota

PhD thesis, 2013

D-ADMM: A Communication-Efficient Distributed Algorithm for Separable Optimization.

João F. C. Mota, João M. F. Xavier, Pedro M. Q. Aguiar, Markus Püschel

IEEE Trans. Signal Process., 2013

Distributed compressed sensing algorithms: Completing the puzzle.

João F. C. Mota, João M. F. Xavier, Pedro M. Q. Aguiar, Markus Püschel

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

A unified algorithmic approach to distributed optimization.

João F. C. Mota, João M. F. Xavier, Pedro M. Q. Aguiar, Markus Püschel

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

2012

Distributed Basis Pursuit.

João F. C. Mota, João M. F. Xavier, Pedro M. Q. Aguiar, Markus Püschel

IEEE Trans. Signal Process., 2012

D-ADMM: A distributed algorithm for compressed sensing and other separable optimization problems.

João F. C. Mota, João M. F. Xavier, Pedro M. Q. Aguiar, Markus Püschel

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

ADMM for consensus on colored networks.

João F. C. Mota, João M. F. Xavier, Pedro M. Q. Aguiar, Markus Püschel

Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Distributed ADMM for model predictive control and congestion control.

João F. C. Mota, João M. F. Xavier, Pedro M. Q. Aguiar, Markus Püschel

Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011

Basis Pursuit in sensor networks.

João F. C. Mota, João M. F. Xavier, Pedro M. Q. Aguiar, Markus Püschel

Proceedings of the IEEE International Conference on Acoustics, 2011

2010

Efficient Methods for Point Matching with Known Camera Orientation.

João F. C. Mota, Pedro M. Q. Aguiar

Proceedings of the Image Analysis and Recognition, 7th International Conference, 2010