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João F. C. Mota
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2020 – today
- 2024
- [j18]Wenhui Hua
, Longhui Xiong, Sicong Liu
Classification-Driven Discrete Neural Representation Learning for Semantic Communications. IEEE Internet Things J. 11(9): 16061-16073 (2024) - [j17]Anis Hamadouche
Sharper Bounds for Proximal Gradient Algorithms with Errors. SIAM J. Optim. 34(1): 278-305 (2024) - [j16]Junli Fang
The Rate-Distortion-Perception-Classification Tradeoff: Joint Source Coding and Modulation via Inverse-Domain GANs. IEEE Trans. Signal Process. 72: 3076-3090 (2024) - [i22]Anis Hamadouche, Yun Wu, Mathini Sellathurai, Andrew M. Wallace, João F. C. Mota:
Reconfigurable FPGA-Based Solvers For Sparse Satellite Control. CoRR abs/2406.00402 (2024) - 2023
- [j15]Zhongyue Lei
Progressive Deep Image Compression for Hybrid Contexts of Image Classification and Reconstruction. IEEE J. Sel. Areas Commun. 41(1): 72-89 (2023) - [c29]Rahul Mourya, João F. C. Mota
MCNeT: Measurement-Consistent Networks Via A Deep Implicit Layer For Solving Inverse Problems. ICASSP 2023: 1-5 - [c28]Ángel Víctor Juanco-Müller, João F. C. Mota
The topology-overlap trade-off in retinal arteriole-venule segmentation. Image Processing 2023 - [i21]Ángel Víctor Juanco-Müller, João F. C. Mota, Keith A. Goatman, Corné Hoogendoorn:
The Topology-Overlap Trade-Off in Retinal Arteriole-Venule Segmentation. CoRR abs/2303.18022 (2023) - [i20]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 abs/2304.08106 (2023) - [i19]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 abs/2306.16935 (2023) - [i18]Junli Fang
The Rate-Distortion-Perception-Classification Tradeoff: Joint Source Coding and Modulation via Inverse-Domain GANs. CoRR abs/2312.14792 (2023) - 2022
- [j14]Weixiao Wan
Robust RGB-Guided Super-Resolution of Hyperspectral Images via $\text{TV}^{3}$ Minimization. IEEE Signal Process. Lett. 29: 957-961 (2022) - [j13]Andreas Aßmann
Parallel Block Compressive LiDAR Imaging. IEEE Trans. Computational Imaging 8: 385-396 (2022) - [j12]Yun Wu
Efficient Reconfigurable Mixed Precision ℓ 1 Solver for Compressive Depth Reconstruction. J. Signal Process. Syst. 94(10): 1083-1099 (2022) - [c27]Ángel Víctor Juanco-Müller
Towards Tumour Graph Learning for Survival Prediction in Head & Neck Cancer Patients. HECKTOR@MICCAI 2022: 178-191 - [c26]Wenhui Hua, Dezhao Chen, Junli Fang, Lingyu Chen, João F. C. Mota
Semantics-Guided Contrastive Joint Source-Channel Coding for Image Transmission. WCSP 2022: 505-510 - [i17]Anis Hamadouche, Yun Wu, Andrew M. Wallace, João F. C. Mota:
Sharper Bounds for Proximal Gradient Algorithms with Errors. CoRR abs/2203.02204 (2022) - [i16]Rahul Mourya, João F. C. Mota:
Measurement-Consistent Networks via a Deep Implicit Layer for Solving Inverse Problems. CoRR abs/2211.03177 (2022) - 2021
- [j11]Marija Vella
Robust Single-Image Super-Resolution via CNNs and TV-TV Minimization. IEEE Trans. Image Process. 30: 7830-7841 (2021) - [c25]Marija Vella
Overcoming Measurement Inconsistency In Deep Learning For Linear Inverse Problems: Applications In Medical Imaging. ICASSP 2021: 8113-8117 - [c24]Marija Vella
Enhanced Hyperspectral Image Super-Resolution via RGB Fusion and TV-TV Minimization. ICIP 2021: 3837-3841 - [c23]Ángel Víctor Juanco-Müller
Deep Supervoxel Segmentation for Survival Analysis in Head and Neck Cancer Patients. HECKTOR@MICCAI 2021: 257-265 - [i15]Marija Vella, Bowen Zhang, Wei Chen, João F. C. Mota:
Enhanced Hyperspectral Image Super-Resolution via RGB Fusion and TV-TV Minimization. CoRR abs/2106.07066 (2021) - 2020
- [j10]Pingfan Song
Multimodal Image Super-Resolution via Joint Sparse Representations Induced by Coupled Dictionaries. IEEE Trans. Computational Imaging 6: 57-72 (2020) - [j9]Pingfan Song
Coupled Dictionary Learning for Multi-Contrast MRI Reconstruction. IEEE Trans. Medical Imaging 39(3): 621-633 (2020) - [i14]Marija Vella, João F. C. Mota:
Robust Single-Image Super-Resolution via CNNs and TV-TV Minimization. CoRR abs/2004.00843 (2020) - [i13]Marija Vella, João F. C. Mota:
Overcoming Measurement Inconsistency in Deep Learning for Linear Inverse Problems: Applications in Medical Imaging. CoRR abs/2011.14387 (2020)
2010 – 2019
- 2019
- [c22]Marija Vella, João F. C. Mota:
Single Image Super-Resolution via CNN Architectures and TV-TV Minimization. BMVC 2019: 206 - [c21]Andreas Aßmann
Compressive Super-Pixel LiDAR for High-Framerate 3D Depth Imaging. GlobalSIP 2019: 1-5 - [i12]Marija Vella
Single Image Super-Resolution via CNN Architectures and TV-TV Minimization. CoRR abs/1907.05380 (2019) - [i11]Alireza Ahrabian, João F. C. Mota, Andrew M. Wallace:
Image-Guided Depth Upsampling via Hessian and TV Priors. CoRR abs/1910.14377 (2019) - 2018
- [c20]Pingfan Song, Lior Weizman, João F. C. Mota
Coupled Dictionary Learning for Multi-Contrast MRI Reconstruction. ICIP 2018: 2880-2884 - [c19]Evangelos Zimos, João F. C. Mota
Data aggregation and recovery for the Internet of Things: A compressive demixing approach. WCNC 2018: 1-6 - [i10]Pingfan Song, Lior Weizman, João F. C. Mota, Yonina C. Eldar, Miguel R. D. Rodrigues:
Coupled Dictionary Learning for Multi-contrast MRI Reconstruction. CoRR abs/1806.09930 (2018) - 2017
- [j8]Nikos Deligiannis
Heterogeneous Networked Data Recovery From Compressive Measurements Using a Copula Prior. IEEE Trans. Commun. 65(12): 5333-5347 (2017) - [j7]Nikos Deligiannis
Multi-Modal Dictionary Learning for Image Separation With Application in Art Investigation. IEEE Trans. Image Process. 26(2): 751-764 (2017) - [j6]João F. C. Mota
Compressed Sensing With Prior Information: Strategies, Geometry, and Bounds. IEEE Trans. Inf. Theory 63(7): 4472-4496 (2017) - [i9]Pingfan Song, Xin Deng, João F. C. Mota
Multimodal Image Super-Resolution via Joint Sparse Representations induced by Coupled Dictionaries. CoRR abs/1709.08680 (2017) - 2016
- [j5]João F. C. Mota
Adaptive-Rate Reconstruction of Time-Varying Signals With Application in Compressive Foreground Extraction. IEEE Trans. Signal Process. 64(14): 3651-3666 (2016) - [c18]Evangelos Zimos, João F. C. Mota
Bayesian Compressed Sensing with Heterogeneous Side Information. DCC 2016: 191-200 - [c17]Pingfan Song, João F. C. Mota
Coupled dictionary learning for multimodal image super-resolution. GlobalSIP 2016: 162-166 - [c16]João F. C. Mota
Reference-based compressed sensing: A sample complexity approach. ICASSP 2016: 4687-4691 - [c15]Nikos Deligiannis, João F. C. Mota
X-ray image separation via coupled dictionary learning. ICIP 2016: 3533-3537 - [c14]Evangelos Zimos, João F. C. Mota
Internet-of-Things data aggregation using compressed sensing with side information. ICT 2016: 1-5 - [c13]Pingfan Song, João F. C. Mota
Measurement matrix design for compressive sensing with side information at the encoder. SSP 2016: 1-5 - [i8]Nikos Deligiannis, João F. C. Mota, Bruno Cornelis, Miguel R. D. Rodrigues, Ingrid Daubechies:
X-ray image separation via coupled dictionary learning. CoRR abs/1605.06474 (2016) - [i7]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 abs/1607.04147 (2016) - 2015
- [j4]João F. C. Mota
Distributed Optimization With Local Domains: Applications in MPC and Network Flows. IEEE Trans. Autom. Control. 60(7): 2004-2009 (2015) - [j3]Nikos Deligiannis
Fast Desynchronization for Decentralized Multichannel Medium Access Control. IEEE Trans. Commun. 63(9): 3336-3349 (2015) - [c12]João F. C. Mota
Dynamic sparse state estimation using ℓ1-ℓ1 minimization: Adaptive-rate measurement bounds, algorithms and applications. ICASSP 2015: 3332-3336 - [c11]Nikos Deligiannis, João F. C. Mota
Decentralized multichannel medium access control: viewing desynchronization as a convex optimization method. IPSN 2015: 13-24 - [c10]George Smart, Nikos Deligiannis, João F. C. Mota
Decentralized time-synchronized channel swapping. IPSN 2015: 404-405 - [i6]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 abs/1503.03231 (2015) - [i5]Nikos Deligiannis, João F. C. Mota, George Smart, Yiannis Andreopoulos:
Fast Desynchronization For Decentralized Multichannel Medium Access Control. CoRR abs/1507.06239 (2015) - 2014
- [c9]Rafael P. Costa, João Miranda Lemos, João F. C. Mota
D-ADMM based distributed MPC with input-output models. CCA 2014: 699-704 - [c8]João F. C. Mota
Compressed sensing with side information: Geometrical interpretation and performance bounds. GlobalSIP 2014: 512-516 - [i4]João F. C. Mota, Nikos Deligiannis, Miguel R. D. Rodrigues:
Compressed Sensing with Prior Information: Optimal Strategies, Geometry, and Bounds. CoRR abs/1408.5250 (2014) - [i3]João F. C. Mota, Nikos Deligiannis, Miguel R. D. Rodrigues:
Compressed Sensing With Side Information: Geometrical Interpretation and Performance Bounds. CoRR abs/1410.2724 (2014) - 2013
- [b1]João F. C. Mota:
Communication-Efficient Algorithms For Distributed Optimization. Carnegie Mellon University, USA, 2013 - [j2]João F. C. Mota
D-ADMM: A Communication-Efficient Distributed Algorithm for Separable Optimization. IEEE Trans. Signal Process. 61(10): 2718-2723 (2013) - [c7]João F. C. Mota
A unified algorithmic approach to distributed optimization. GlobalSIP 2013: 607-610 - [c6]João F. C. Mota
Distributed compressed sensing algorithms: Completing the puzzle. GlobalSIP 2013: 629 - [i2]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 abs/1305.1885 (2013) - 2012
- [j1]João F. C. Mota
Distributed Basis Pursuit. IEEE Trans. Signal Process. 60(4): 1942-1956 (2012) - [c5]João F. C. Mota
Distributed ADMM for model predictive control and congestion control. CDC 2012: 5110-5115 - [c4]João F. C. Mota
ADMM for consensus on colored networks. CDC 2012: 5116-5121 - [c3]João F. C. Mota
D-ADMM: A distributed algorithm for compressed sensing and other separable optimization problems. ICASSP 2012: 2869-2872 - 2011
- [c2]João F. C. Mota
Basis Pursuit in sensor networks. ICASSP 2011: 2916-2919 - 2010
- [c1]João F. C. Mota
Efficient Methods for Point Matching with Known Camera Orientation. ICIAR (1) 2010: 210-219 - [i1]João F. C. Mota, João M. F. Xavier, Pedro M. Q. Aguiar, Markus Püschel:
Distributed Basis Pursuit. CoRR abs/1009.1128 (2010)
Coauthor Index
aka: Miguel Raul Dias Rodrigues
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last updated on 2024-12-05 21:38 CET by the dblp team
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