João F. C. Mota

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 54

Top Topics

Medium Access Control

Sparse Representation

Dictionary Learning

Top Venues

Publications

Junli Fang, João F. C. Mota, Baoshan Lu, Weicheng Zhang, Xuemin Hong
The Rate-Distortion-Perception-Classification Tradeoff: Joint Source Coding and Modulation via Inverse-Domain GANs. IEEE Trans. Signal Process. 72 (2024)
Anis Hamadouche, Yun Wu, Andrew M. Wallace, João F. C. Mota
Sharper Bounds for Proximal Gradient Algorithms with Errors. SIAM J. Optim. 34 (1) (2024)
Wenhui Hua, Longhui Xiong, Sicong Liu, Lingyu Chen, Xuemin Hong, João F. C. Mota, Xiang Cheng
Classification-Driven Discrete Neural Representation Learning for Semantic Communications. IEEE Internet Things J. 11 (9) (2024)
Anis Hamadouche, Yun Wu, Mathini Sellathurai, Andrew M. Wallace, João F. C. Mota
Reconfigurable FPGA-Based Solvers For Sparse Satellite Control. CoRR (2024)
Ángel Víctor Juanco-Müller, João F. C. Mota, Keith A. Goatman, Corné Hoogendoorn
Towards Tumour Graph Learning for Survival Prediction in Head & Neck Cancer Patients. CoRR (2023)
Junli Fang, João F. C. Mota, Baoshan Lu, Weicheng Zhang, Xuemin Hong
The Rate-Distortion-Perception-Classification Tradeoff: Joint Source Coding and Modulation via Inverse-Domain GANs. CoRR (2023)
Ángel Víctor Juanco-Müller, João F. C. Mota, Keith A. Goatman, Corné Hoogendoorn
The Topology-Overlap Trade-Off in Retinal Arteriole-Venule Segmentation. CoRR (2023)
Anis Hamadouche, Yun Wu, Andrew M. Wallace, João F. C. Mota
A Low-Power Hardware-Friendly Optimisation Algorithm With Absolute Numerical Stability and Convergence Guarantees. CoRR (2023)
Rahul Mourya, João F. C. Mota
MCNeT: Measurement-Consistent Networks Via A Deep Implicit Layer For Solving Inverse Problems. ICASSP (2023)
Zhongyue Lei, Peng Duan, Xuemin Hong, João F. C. Mota, Jianghong Shi, Cheng-Xiang Wang
Progressive Deep Image Compression for Hybrid Contexts of Image Classification and Reconstruction. IEEE J. Sel. Areas Commun. 41 (1) (2023)
Ángel Víctor Juanco-Müller, João F. C. Mota, Keith A. Goatman, Corné Hoogendoorn
The topology-overlap trade-off in retinal arteriole-venule segmentation. Medical Imaging: Image Processing (2023)
Wenhui Hua, Dezhao Chen, Junli Fang, Lingyu Chen, João F. C. Mota, Xuemin Hong
Semantics-Guided Contrastive Joint Source-Channel Coding for Image Transmission. WCSP (2022)
Yun Wu, Andrew M. Wallace, João F. C. Mota, Andreas Aßmann, Brian Stewart
Solver for Compressive Depth Reconstruction. J. Signal Process. Syst. 94 (10) (2022)
Rahul Mourya, João F. C. Mota
Measurement-Consistent Networks via a Deep Implicit Layer for Solving Inverse Problems. CoRR (2022)
Ángel Víctor Juanco-Müller, João F. C. Mota, Keith A. Goatman, Corné Hoogendoorn
Towards Tumour Graph Learning for Survival Prediction in Head & Neck Cancer Patients. HECKTOR@MICCAI (2022)
Anis Hamadouche, Yun Wu, Andrew M. Wallace, João F. C. Mota
Sharper Bounds for Proximal Gradient Algorithms with Errors. CoRR (2022)
Andreas Aßmann, João F. C. Mota, Brian Stewart, Andrew M. Wallace
Parallel Block Compressive LiDAR Imaging. IEEE Trans. Computational Imaging 8 (2022)
Weixiao Wan, Bowen Zhang, Marija Vella, João F. C. Mota, Wei Chen
Robust RGB-Guided Super-Resolution of Hyperspectral Images via $\text{TV}^{3}$ Minimization. IEEE Signal Process. Lett. 29 (2022)
Marija Vella, Bowen Zhang, Wei Chen, João F. C. Mota
Enhanced Hyperspectral Image Super-Resolution via RGB Fusion and TV-TV Minimization. ICIP (2021)
Marija Vella, João F. C. Mota
Overcoming Measurement Inconsistency In Deep Learning For Linear Inverse Problems: Applications In Medical Imaging. ICASSP (2021)
Ángel Víctor Juanco-Müller, João F. C. Mota, Keith A. Goatman, Corné Hoogendoorn
Deep Supervoxel Segmentation for Survival Analysis in Head and Neck Cancer Patients. HECKTOR@MICCAI (2021)
Marija Vella, Bowen Zhang, Wei Chen, João F. C. Mota
Enhanced Hyperspectral Image Super-Resolution via RGB Fusion and TV-TV Minimization. CoRR (2021)
Marija Vella, João F. C. Mota
Robust Single-Image Super-Resolution via CNNs and TV-TV Minimization. IEEE Trans. Image Process. 30 (2021)
Pingfan Song, Lior Weizman, João F. C. Mota, Yonina C. Eldar, Miguel R. D. Rodrigues
Coupled Dictionary Learning for Multi-Contrast MRI Reconstruction. IEEE Trans. Medical Imaging 39 (3) (2020)
Pingfan Song, Xin Deng, João F. C. Mota, Nikos Deligiannis, Pier Luigi Dragotti, Miguel R. D. Rodrigues
Multimodal Image Super-Resolution via Joint Sparse Representations Induced by Coupled Dictionaries. IEEE Trans. Computational Imaging 6 (2020)
Marija Vella, João F. C. Mota
Robust Single-Image Super-Resolution via CNNs and TV-TV Minimization. CoRR (2020)
Marija Vella, João F. C. Mota
Overcoming Measurement Inconsistency in Deep Learning for Linear Inverse Problems: Applications in Medical Imaging. CoRR (2020)
Marija Vella, João F. C. Mota
Single Image Super-Resolution via CNN Architectures and TV-TV Minimization. CoRR (2019)
Andreas Aßmann, Brian Stewart, João F. C. Mota, Andrew M. Wallace
Compressive Super-Pixel LiDAR for High-Framerate 3D Depth Imaging. GlobalSIP (2019)
Marija Vella, João F. C. Mota
Single Image Super-Resolution via CNN Architectures and TV-TV Minimization. BMVC (2019)
Alireza Ahrabian, João F. C. Mota, Andrew M. Wallace
Image-Guided Depth Upsampling via Hessian and TV Priors. CoRR (2019)
Pingfan Song, Lior Weizman, João F. C. Mota, Yonina C. Eldar, Miguel R. D. Rodrigues
Coupled Dictionary Learning for Multi-contrast MRI Reconstruction. CoRR (2018)
Evangelos Zimos, João F. C. Mota, Evaggelia Tsiligianni, Miguel R. D. Rodrigues, Nikos Deligiannis
Data aggregation and recovery for the Internet of Things: A compressive demixing approach. WCNC (2018)
Pingfan Song, Lior Weizman, João F. C. Mota, Yonina C. Eldar, Miguel R. D. Rodrigues
Coupled Dictionary Learning for Multi-Contrast MRI Reconstruction. ICIP (2018)
Nikos Deligiannis, João F. C. Mota, Evangelos Zimos, Miguel R. D. Rodrigues
Heterogeneous Networked Data Recovery From Compressive Measurements Using a Copula Prior. IEEE Trans. Commun. 65 (12) (2017)
Nikos Deligiannis, João F. C. Mota, Bruno Cornelis, Miguel R. D. Rodrigues, Ingrid Daubechies
Multi-Modal Dictionary Learning for Image Separation With Application in Art Investigation. IEEE Trans. Image Process. 26 (2) (2017)
João F. C. Mota, Nikos Deligiannis, Miguel R. D. Rodrigues
Compressed Sensing With Prior Information: Strategies, Geometry, and Bounds. IEEE Trans. Inf. Theory 63 (7) (2017)
Pingfan Song, Xin Deng, João F. C. Mota, Nikos Deligiannis, Pier Luigi Dragotti, Miguel R. D. Rodrigues
Multimodal Image Super-Resolution via Joint Sparse Representations induced by Coupled Dictionaries. CoRR (2017)
Nikos Deligiannis, João F. C. Mota, Bruno Cornelis, Miguel R. D. Rodrigues, Ingrid Daubechies
X-ray image separation via coupled dictionary learning. ICIP (2016)
Nikos Deligiannis, João F. C. Mota, Bruno Cornelis, Miguel R. D. Rodrigues, Ingrid Daubechies
X-ray image separation via coupled dictionary learning. CoRR (2016)
João F. C. Mota, Nikos Deligiannis, Aswin C. Sankaranarayanan, Volkan Cevher, Miguel R. D. Rodrigues
Adaptive-Rate Reconstruction of Time-Varying Signals With Application in Compressive Foreground Extraction. IEEE Trans. Signal Process. 64 (14) (2016)
Pingfan Song, João F. C. Mota, Nikos Deligiannis, Miguel Raul Dias Rodrigues
Measurement matrix design for compressive sensing with side information at the encoder. SSP (2016)
Evangelos Zimos, João F. C. Mota, Miguel R. D. Rodrigues, Nikos Deligiannis
Internet-of-Things data aggregation using compressed sensing with side information. ICT (2016)
Pingfan Song, João F. C. Mota, Nikos Deligiannis, Miguel R. D. Rodrigues
Coupled dictionary learning for multimodal image super-resolution. GlobalSIP (2016)
Nikos Deligiannis, João F. C. Mota, Bruno Cornelis, Miguel R. D. Rodrigues, Ingrid Daubechies
Multi-modal dictionary learning for image separation with application in art investigation. CoRR (2016)
Evangelos Zimos, João F. C. Mota, Miguel R. D. Rodrigues, Nikos Deligiannis
Bayesian Compressed Sensing with Heterogeneous Side Information. DCC (2016)
João F. C. Mota, Lior Weizman, Nikos Deligiannis, Yonina C. Eldar, Miguel R. D. Rodrigues
Reference-based compressed sensing: A sample complexity approach. ICASSP (2016)
Nikos Deligiannis, João F. C. Mota, George Smart, Yiannis Andreopoulos
Fast Desynchronization for Decentralized Multichannel Medium Access Control. IEEE Trans. Commun. 63 (9) (2015)
João F. C. Mota, João M. F. Xavier, Pedro M. Q. Aguiar, Markus Püschel
Distributed Optimization With Local Domains: Applications in MPC and Network Flows. IEEE Trans. Autom. Control. 60 (7) (2015)
George Smart, Nikos Deligiannis, João F. C. Mota, Yiannis Andreopoulos
Decentralized time-synchronized channel swapping. IPSN (2015)
João F. C. Mota, Nikos Deligiannis, Aswin C. Sankaranarayanan, Volkan Cevher, Miguel R. D. Rodrigues
Adaptive-Rate Sparse Signal Reconstruction With Application in Compressive Background Subtraction. CoRR (2015)
Nikos Deligiannis, João F. C. Mota, George Smart, Yiannis Andreopoulos
Fast Desynchronization For Decentralized Multichannel Medium Access Control. CoRR (2015)
João F. C. Mota, Nikos Deligiannis, Aswin C. Sankaranarayanan, Volkan Cevher, Miguel R. D. Rodrigues
Dynamic sparse state estimation using ℓ1-ℓ1 minimization: Adaptive-rate measurement bounds, algorithms and applications. ICASSP (2015)
Nikos Deligiannis, João F. C. Mota, George Smart, Yiannis Andreopoulos
Decentralized multichannel medium access control: viewing desynchronization as a convex optimization method. IPSN (2015)
Rafael P. Costa, João Miranda Lemos, João F. C. Mota, João M. F. Xavier
D-ADMM based distributed MPC with input-output models. CCA (2014)
João F. C. Mota, Nikos Deligiannis, Miguel R. D. Rodrigues
Compressed sensing with side information: Geometrical interpretation and performance bounds. GlobalSIP (2014)
João F. C. Mota, Nikos Deligiannis, Miguel R. D. Rodrigues
Compressed Sensing with Prior Information: Optimal Strategies, Geometry, and Bounds. CoRR (2014)
João F. C. Mota, Nikos Deligiannis, Miguel R. D. Rodrigues
Compressed Sensing With Side Information: Geometrical Interpretation and Performance Bounds. CoRR (2014)
João F. C. Mota, João M. F. Xavier, Pedro M. Q. Aguiar, Markus Püschel
Distributed Optimization With Local Domains: Applications in MPC and Network Flows CoRR (2013)
João F. C. Mota, João M. F. Xavier, Pedro M. Q. Aguiar, Markus Püschel
A unified algorithmic approach to distributed optimization. GlobalSIP (2013)
João F. C. Mota, João M. F. Xavier, Pedro M. Q. Aguiar, Markus Püschel
Distributed compressed sensing algorithms: Completing the puzzle. GlobalSIP (2013)
João F. C. Mota, João M. F. Xavier, Pedro M. Q. Aguiar, Markus Püschel
D-ADMM: A Communication-Efficient Distributed Algorithm for Separable Optimization. IEEE Trans. Signal Process. 61 (10) (2013)
João F. C. Mota, João M. F. Xavier, Pedro M. Q. Aguiar, Markus Püschel
Distributed ADMM for model predictive control and congestion control. CDC (2012)
João F. C. Mota, João M. F. Xavier, Pedro M. Q. Aguiar, Markus Püschel
D-ADMM: A distributed algorithm for compressed sensing and other separable optimization problems. ICASSP (2012)
João F. C. Mota, João M. F. Xavier, Pedro M. Q. Aguiar, Markus Püschel
ADMM for consensus on colored networks. CDC (2012)
João F. C. Mota, João M. F. Xavier, Pedro M. Q. Aguiar, Markus Püschel
Distributed Basis Pursuit. IEEE Trans. Signal Process. 60 (4) (2012)
João F. C. Mota, João M. F. Xavier, Pedro M. Q. Aguiar, Markus Püschel
Basis Pursuit in sensor networks. ICASSP (2011)
João F. C. Mota, João M. F. Xavier, Pedro M. Q. Aguiar, Markus Püschel
Distributed Basis Pursuit CoRR (2010)
João F. C. Mota, Pedro M. Q. Aguiar
Efficient Methods for Point Matching with Known Camera Orientation. ICIAR (1) (2010)