Nikos Deligiannis

According to our database, Nikos Deligiannis authored at least 184 papers between 2007 and 2024.

Collaborative distances:

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

2024

SNIPPET: A Framework for Subjective Evaluation of Visual Explanations Applied to DeepFake Detection.

Yuqing Yang, Boris Joukovsky, José Oramas Mogrovejo, Tinne Tuytelaars, Nikos Deligiannis

ACM Trans. Multim. Comput. Commun. Appl., August, 2024

Long-Term Regional Influenza-Like-Illness Forecasting Using Exogenous Data.

Eirini Papagiannopoulou, Matías Nicolás Bossa, Nikos Deligiannis, Hichem Sahli

IEEE J. Biomed. Health Informatics, June, 2024

Deep Unfolding Transformers for Sparse Recovery of Video.

Brent De Weerdt, Yonina C. Eldar, Nikos Deligiannis

IEEE Trans. Signal Process., 2024

Visualizing and Understanding Contrastive Learning.

Fawaz Sammani, Boris Joukovsky, Nikos Deligiannis

IEEE Trans. Image Process., 2024

Few-Shot Classification with Meta-Learning for Urban Infrastructure Monitoring Using Distributed Acoustic Sensing.

Huynh Van Luong, Nikos Deligiannis, Roman Wilhelm, Bernd Drapp

Sensors, 2024

Learned Parameter Compression for Efficient and Privacy-Preserving Federated Learning.

Yiming Chen, Lusine Abrahamyan, Hichem Sahli, Nikos Deligiannis

IEEE Open J. Commun. Soc., 2024

The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data.

Luuk H. Boulogne, Julian Lorenz, Daniel Kienzle, Robin Schön, Katja Ludwig, Rainer Lienhart, Simon Jégou, Guang Li, Cong Chen, Qi Wang, Derik Shi, Mayug Maniparambil, Dominik Müller, Silvan Mertes, Niklas Schröter, Fabio Hellmann, Miriam Elia, Ine Dirks, Matías Nicolás Bossa, Abel Díaz Berenguer, Tanmoy Mukherjee, Jef Vandemeulebroucke, Hichem Sahli, Nikos Deligiannis, Panagiotis Gonidakis, Ngoc Dung Huynh, Imran Razzak, Mohamed Reda Bouadjenek, Mario Verdicchio, Pasquale Borrelli, Marco Aiello, James A. Meakin, Alexander Lemm, Christoph Russ, Razvan Ionasec, Nikos Paragios, Bram van Ginneken, Marie-Pierre Revel

Medical Image Anal., 2024

Semi-supervised medical image classification via distance correlation minimization and graph attention regularization.

Abel Díaz Berenguer, Maryna Kvasnytsia, Matías Nicolás Bossa, Tanmoy Mukherjee, Nikos Deligiannis, Hichem Sahli

Medical Image Anal., 2024

Interpreting and Analyzing CLIP's Zero-Shot Image Classification via Mutual Knowledge.

Fawaz Sammani, Nikos Deligiannis

CoRR, 2024

Holistic Representation Learning for Multitask Trajectory Anomaly Detection.

Alexandros Stergiou, Brent De Weerdt, Nikos Deligiannis

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Co-Occurrence Graph-Enhanced Hierarchical Prediction of ICD Codes.

Soha Sadat Mahdi, Eirini Papagiannopoulou, Nikos Deligiannis, Hichem Sahli

Proceedings of the IEEE International Conference on Acoustics, 2024

Learned Layered Coding for Successive Refinement in the Wyner-Ziv Problem.

Boris Joukovsky, Brent De Weerdt, Nikos Deligiannis

Proceedings of the IEEE International Conference on Acoustics, 2024

Physics-Guided Variational Graph Autoencoder For Air Quality Inference.

Esther Rodrigo Bonet, Nikos Deligiannis

Proceedings of the IEEE International Conference on Acoustics, 2024

Physics-Guided Graph Convolutional Deep Equilibrium Network for Environmental Data.

Esther Rodrigo Bonet, Nikos Deligiannis

Proceedings of the 32nd European Signal Processing Conference, 2024

Unveiling Privacy Risks in Stochastic Neural Networks Training: Effective Image Reconstruction from Gradients.

Yiming Chen, Xiangyu Yang, Nikos Deligiannis

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Underwater localization with binary measurements: From compressed sensing to deep unfolding.

Yuqing Yang, Peng Xiao, Nikos Deligiannis

Digit. Signal Process., March, 2023

Traffic event detection as a slot filling problem.

Xiangyu Yang, Giannis Bekoulis, Nikos Deligiannis

Eng. Appl. Artif. Intell., 2023

A Review on Fact Extraction and Verification.

Giannis Bekoulis, Christina Papagiannopoulou, Nikos Deligiannis

ACM Comput. Surv., 2023

Evaluating Quality of Visual Explanations of Deep Learning Models for Vision Tasks.

Yuqing Yang, Saeed Mahmoudpour, Peter Schelkens, Nikos Deligiannis

Proceedings of the 15th International Conference on Quality of Multimedia Experience, 2023

KORDI: A Framework for Real-Time Performance and Cost Optimization of Apache Spark Streaming.

Athanasios Kordelas, Thanasis Spyrou, Spyros Voulgaris, Vasileios Megalooikonomou, Nikos Deligiannis

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2023

Model-Agnostic Visual Explanations via Approximate Bilinear Models.

Boris Joukovsky, Fawaz Sammani, Nikos Deligiannis

Proceedings of the IEEE International Conference on Image Processing, 2023

Locally Accumulated Adam For Distributed Training With Sparse Updates.

Yiming Chen, Nikos Deligiannis

Proceedings of the IEEE International Conference on Image Processing, 2023

Visualizing Invariant Features in Vision Models.

Fawaz Sammani, Boris Joukovsky, Nikos Deligiannis

Proceedings of the 24th International Conference on Digital Signal Processing, 2023

Uni-NLX: Unifying Textual Explanations for Vision and Vision-Language Tasks.

Fawaz Sammani, Nikos Deligiannis

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Leaping Into Memories: Space-Time Deep Feature Synthesis.

Alexandros Stergiou, Nikos Deligiannis

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

A Review of Deep Learning Methods for Automated Clinical Coding.

Soha Sadat Mahdi, Nikos Deligiannis, Hichem Sahli

Proceedings of the 15th International Conference on Computer and Automation Engineering, 2023

Relevance Propagation through Deep Conditional Random Fields.

Xiangyu Yang, Boris Joukovsky, Nikos Deligiannis

Proceedings of the IEEE International Conference on Acoustics, 2023

Designing Transformer Networks for Sparse Recovery of Sequential Data Using Deep Unfolding.

Brent De Weerdt, Yonina C. Eldar, Nikos Deligiannis

Proceedings of the IEEE International Conference on Acoustics, 2023

Quantitative Evaluation of Video Explainability Methods via Anomaly Localization.

Xinyue Zhang, Boris Joukovsky, Nikos Deligiannis

Proceedings of the 31st European Signal Processing Conference, 2023

Model-Aware Deep Learning for the Clustering of Hyperspectral Images with Context Preservation.

Xianlu Li, Nicolas Nadisic, Shaoguang Huang, Nikos Deligiannis, Aleksandra Pizurica

Proceedings of the 31st European Signal Processing Conference, 2023

2022

Explaining Graph Neural Networks With Topology-Aware Node Selection: Application in Air Quality Inference.

Esther Rodrigo Bonet, Tien Huu Do, Xuening Qin, Jelle Hofman, Valerio Panzica La Manna, Wilfried Philips, Nikos Deligiannis

IEEE Trans. Signal Inf. Process. over Networks, 2022

Learned Gradient Compression for Distributed Deep Learning.

Lusine Abrahamyan, Yiming Chen, Giannis Bekoulis, Nikos Deligiannis

IEEE Trans. Neural Networks Learn. Syst., 2022

Designing CNNs for Multimodal Image Restoration and Fusion via Unfolding the Method of Multipliers.

Iman Marivani, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis

IEEE Trans. Circuits Syst. Video Technol., 2022

Fine-Grained Urban Air Quality Mapping from Sparse Mobile Air Pollution Measurements and Dense Traffic Density.

Xuening Qin, Tien Huu Do, Jelle Hofman, Esther Rodrigo Bonet, Valerio Panzica La Manna, Nikos Deligiannis, Wilfried Philips

Remote. Sens., 2022

Spatiotemporal air quality inference of low-cost sensor data: Evidence from multiple sensor testbeds.

Jelle Hofman, Tien Huu Do, Xuening Qin, Esther Rodrigo Bonet, Wilfried Philips, Nikos Deligiannis, Valerio Panzica La Manna

Environ. Model. Softw., 2022

Representation Learning with Information Theory for COVID-19 Detection.

Abel Díaz Berenguer, Tanmoy Mukherjee, Matias Bossa, Nikos Deligiannis, Hichem Sahli

CoRR, 2022

Visualizing and Understanding Self-Supervised Vision Learning.

Fawaz Sammani, Boris Joukovsky, Nikos Deligiannis

CoRR, 2022

Novel View Synthesis for Sparse RGB-D camera networks.

Anh Minh Truong, Wilfried Philips, Nikos Deligiannis

Proceedings of the 14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2022

Entropy-Based Feature Extraction for Real-Time Semantic Segmentation.

Lusine Abrahamyan, Nikos Deligiannis

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Novel Class Discovery: A Dependency Approach.

Tanmoy Mukherjee, Nikos Deligiannis

Proceedings of the IEEE International Conference on Acoustics, 2022

Gradient Variance Loss for Structure-Enhanced Image Super-Resolution.

Lusine Abrahamyan, Anh Minh Truong, Wilfried Philips, Nikos Deligiannis

Proceedings of the IEEE International Conference on Acoustics, 2022

Conditional Variational Graph Autoencoder for Air Quality Forecasting.

Esther Rodrigo Bonet, Tien Huu Do, Xuening Qin, Jelle Hofman, Valerio Panzica La Manna, Wilfried Philips, Nikos Deligiannis

Proceedings of the 30th European Signal Processing Conference, 2022

Representation Learning with Information Theory to Detect COVID-19 and Its Severity.

Abel Díaz Berenguer, Tanmoy Mukherjee, Yifei Da, Matías Nicolás Bossa, Maryna Kvasnytsia, Jef Vandemeulebroucke, Nikos Deligiannis, Hichem Sahli

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

NLX-GPT: A Model for Natural Language Explanations in Vision and Vision-Language Tasks.

Fawaz Sammani, Tanmoy Mukherjee, Nikos Deligiannis

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

reweighted-RNN: An Interpretable Recurrent Neural Network for Video Reconstruction via Deep Unfolding.

Boris Joukovsky, Huynh Van Luong, Nikos Deligiannis

Dataset, April, 2021

Designing Interpretable Recurrent Neural Networks for Video Reconstruction via Deep Unfolding.

Huynh Van Luong, Boris Joukovsky, Nikos Deligiannis

IEEE Trans. Image Process., 2021

Graph convolutional neural networks with node transition probability-based message passing and DropNode regularization.

Tien Huu Do, Duc Minh Nguyen, Giannis Bekoulis, Adrian Munteanu, Nikos Deligiannis

Expert Syst. Appl., 2021

Context-Aware Deep Markov Random Fields for Fake News Detection.

Tien Huu Do, Marc Berneman, Jasabanta Patro, Giannis Bekoulis, Nikos Deligiannis

IEEE Access, 2021

Generalization error bounds for deep unfolding RNNs.

Boris Joukovsky, Tanmoy Mukherjee, Huynh Van Luong, Nikos Deligiannis

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Interpretable Deep Learning for Multimodal Super-Resolution of Medical Images.

Evaggelia Tsiligianni, Matina Zerva, Iman Marivani, Nikos Deligiannis, Lisimachos P. Kondi

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Keynote Lecture : Gradient compression for efficient distributed deep learning.

Nikos Deligiannis

Proceedings of the 20th International Symposium on Parallel and Distributed Computing, 2021

Street-level Air Quality Inference Based on Geographically Context-aware Random Forest Using Opportunistic Mobile Sensor Network.

Xuening Qin, Tien Huu Do, Jelle Hofman, Esther Rodrigo Bonet, Valerio Panzica La Manna, Nikos Deligiannis, Wilfried Philips

Proceedings of the ICIAI 2021: 2021 the 5th International Conference on Innovation in Artificial Intelligence, 2021

Bias Loss for Mobile Neural Networks.

Lusine Abrahamyan, Valentin Ziatchin, Yiming Chen, Nikos Deligiannis

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

HCGM-Net: A Deep Unfolding Network for Financial Index Tracking.

Ruben Pauwels, Evaggelia Tsiligianni, Nikos Deligiannis

Proceedings of the IEEE International Conference on Acoustics, 2021

Autoencoder-Based Gradient Compression for Distributed Training.

Lusine Abrahamyan, Yiming Chen, Giannis Bekoulis, Nikos Deligiannis

Proceedings of the 29th European Signal Processing Conference, 2021

2020

Geometric Matrix Completion With Deep Conditional Random Fields.

Duc Minh Nguyen, A. Robert Calderbank, Nikos Deligiannis

IEEE Trans. Neural Networks Learn. Syst., 2020

Multimodal Deep Unfolding for Guided Image Super-Resolution.

Iman Marivani, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis

IEEE Trans. Image Process., 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

DeepFPC: A deep unfolded network for sparse signal recovery from 1-Bit measurements with application to DOA estimation.

Peng Xiao, Bin Liao, Nikos Deligiannis

Signal Process., 2020

Graph-Deep-Learning-Based Inference of Fine-Grained Air Quality From Mobile IoT Sensors.

Tien Huu Do, Evaggelia Tsiligianni, Xuening Qin, Jelle Hofman, Valerio Panzica La Manna, Wilfried Philips, Nikos Deligiannis

IEEE Internet Things J., 2020

Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging.

Abel Díaz Berenguer, Hichem Sahli, Boris Joukovsky, Maryna Kvasnytsia, Ine Dirks, Mitchel Alioscha-Pérez, Nikos Deligiannis, Panagiotis Gonidakis, Sebastián Amador Sánchez, Redona Brahimetaj, Evgenia Papavasileiou, Jonathan Cheung-Wai Chan, Fei Li, Shangzhen Song, Yixin Yang, Sofie Tilborghs, Siri Willems, Tom Eelbode, Jeroen Bertels, Dirk Vandermeulen, Frederik Maes, Paul Suetens, Lucas Fidon, Tom Vercauteren, David Robben, Arne Brys, Dirk Smeets, Bart Ilsen, Nico Buls, Nina Watté, Johan de Mey, Annemiek Snoeckx, Paul M. Parizel, Julien Guiot, Louis Deprez, Paul Meunier, Stefaan Gryspeerdt, Kristof De Smet, Bart Jansen, Jef Vandemeulebroucke

CoRR, 2020

A Review on Fact Extraction and VERification: The FEVER case.

Giannis Bekoulis, Christina Papagiannopoulou, Nikos Deligiannis

CoRR, 2020

Interpretable Deep Multimodal Image Super-Resolution.

Iman Marivani, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis

CoRR, 2020

Interpretable Deep Recurrent Neural Networks via Unfolding Reweighted 𝓁₁-𝓁₁ Minimization: Architecture Design and Generalization Analysis.

Huynh Van Luong, Boris Joukovsky, Nikos Deligiannis

CoRR, 2020

Mapping Air Quality in IoT Cities: Cloud Calibration and Air Quality Inference of Sensor Data.

Jelle Hofman, Martha E. Nikolaou, Tien Huu Do, Xuening Qin, Esther Rodrigo Bonet, Wilfried Philips, Nikos Deligiannis, Valerio Panzica La Manna

Proceedings of the 2020 IEEE Sensors, Rotterdam, The Netherlands, October 25-28, 2020, 2020

Spatiotemporal Air Quality Inference of Low-Cost Sensor Data; Application on a Cycling Monitoring Network.

Jelle Hofman, Tien Huu Do, Xuening Qin, Esther Rodrigo Bonet, Martha E. Nikolaou, Wilfried Philips, Nikos Deligiannis, Valerio Panzica La Manna

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Temporal Collaborative Filtering with Graph Convolutional Neural Networks.

Esther Rodrigo Bonet, Duc Minh Nguyen, Nikos Deligiannis

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Joint Image Super-Resolution Via Recurrent Convolutional Neural Networks With Coupled Sparse Priors.

Iman Marivani, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis

Proceedings of the IEEE International Conference on Image Processing, 2020

Graph Auto-Encoder for Graph Signal Denoising.

Tien Huu Do, Duc Minh Nguyen, Nikos Deligiannis

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

A Robust Deep Unfolded Network for Sparse Signal Recovery from Noisy Binary Measurements.

Yuqing Yang, Peng Xiao, Bin Liao, Nikos Deligiannis

Proceedings of the 28th European Signal Processing Conference, 2020

Designing CNNs for Multimodal Image Super-Resolution via the Method of Multipliers.

Iman Marivani, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis

Proceedings of the 28th European Signal Processing Conference, 2020

A Deep-Unfolded Reference-Based RPCA Network For Video Foreground-Background Separation.

Huynh Van Luong, Boris Joukovsky, Yonina C. Eldar, Nikos Deligiannis

Proceedings of the 28th European Signal Processing Conference, 2020

imec-ETRO-VUB at W-NUT 2020 Shared Task-3: A multilabel BERT-based system for predicting COVID-19 events.

Xiangyu Yang, Giannis Bekoulis, Nikos Deligiannis

Proceedings of the Sixth Workshop on Noisy User-generated Text, 2020

2019

Deep Coupled-Representation Learning for Sparse Linear Inverse Problems With Side Information.

Evaggelia Tsiligianni, Nikos Deligiannis

IEEE Signal Process. Lett., 2019

Automatic Multi-Camera Extrinsic Parameter Calibration Based on Pedestrian Torsors †.

Anh Minh Truong, Wilfried Philips, Nikos Deligiannis, Lusine Abrahamyan, Junzhi Guan

Sensors, 2019

DeepFPC: Deep Unfolding of a Fixed-Point Continuation Algorithm for Sparse Signal Recovery from Quantized Measurements.

Peng Xiao, Bin Liao, Nikos Deligiannis

CoRR, 2019

Context-Based Analysis of Urban Air Quality Using an Opportunistic Mobile Sensor Network.

Xuening Qin, Ljiljana Platisa, Tien Huu Do, Evaggelia Tsiligianni, Jelle Hofman, Valerio Panzica La Manna, Nikos Deligiannis, Wilfried Philips

Proceedings of the Science and Technologies for Smart Cities, 2019

Fake News Detection using Deep Markov Random Fields.

Duc Minh Nguyen, Tien Huu Do, A. Robert Calderbank, Nikos Deligiannis

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

BRUBIKE: A Dataset of Bicycle Traffic and Weather Conditions for Predicting Cycling Flow.

Steven Vanden Broucke, Luis Manuel Vidal Piña, Tien Huu Do, Nikos Deligiannis

Proceedings of the 2019 IEEE International Smart Cities Conference, 2019

Visualization of Real-Time Heterogeneous Smart City Data Using Virtual Reality.

Steven Vanden Broucke, Nikos Deligiannis

Proceedings of the 2019 IEEE International Smart Cities Conference, 2019

Learned Multimodal Convolutional Sparse Coding for Guided Image Super-Resolution.

Iman Marivani, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Designing Recurrent Neural Networks by Unfolding an L1-L1 Minimization Algorithm.

Hung Duy Le, Huynh Van Luong, Nikos Deligiannis

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Automatic Extrinsic Calibration of Camera Networks Based on Pedestrians.

Anh Minh Truong, Wilfried Philips, Junzhi Guan, Nikos Deligiannis, Lusine Abrahamyan

Proceedings of the 13th International Conference on Distributed Smart Cameras, 2019

Matrix Completion with Variational Graph Autoencoders: Application in Hyperlocal Air Quality Inference.

Tien Huu Do, Duc Minh Nguyen, Evaggelia Tsiligianni, Angel Lopez Aguirre, Valerio Panzica La Manna, Frank J. Pasveer, Wilfried Philips, Nikos Deligiannis

Proceedings of the IEEE International Conference on Acoustics, 2019

Multimodal Image Super-resolution via Deep Unfolding with Side Information.

Iman Marivani, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis

Proceedings of the 27th European Signal Processing Conference, 2019

Rumour Detection Via News Propagation Dynamics and User Representation Learning.

Tien Huu Do, Xiao Luo, Duc Minh Nguyen, Nikos Deligiannis

Proceedings of the IEEE Data Science Workshop, 2019

2018

Compressive Online Robust Principal Component Analysis via n-ℓ₁ Minimization.

Huynh Van Luong, Nikos Deligiannis, Jürgen Seiler, Søren Forchhammer, André Kaup

IEEE Trans. Image Process., 2018

Twitter data analysis for studying communities of practice in the media industry.

Marlen Komorowski, Tien Do Huu, Nikos Deligiannis

Telematics Informatics, 2018

Learning Discrete Matrix Factorization Models.

Duc Minh Nguyen, Evaggelia Tsiligianni, Nikos Deligiannis

IEEE Signal Process. Lett., 2018

Sparse signal recovery with multiple prior information: Algorithm and measurement bounds.

Huynh Van Luong, Nikos Deligiannis, Jürgen Seiler, Søren Forchhammer, André Kaup

Signal Process., 2018

Compressed Sensing mm-Wave SAR for Non-Destructive Testing Applications Using Multiple Weighted Side Information.

Mathias Becquaert, Edison Cristofani, Huynh Van Luong, Marijke Vandewal, Johan Stiens, Nikos Deligiannis

Sensors, 2018

Matrix Factorization via Deep Learning.

Duc Minh Nguyen, Evaggelia Tsiligianni, Nikos Deligiannis

CoRR, 2018

Online Decomposition of Compressive Streaming Data Using n-𝓁₁ Cluster-Weighted Minimization.

Huynh Van Luong, Nikos Deligiannis, Søren Forchhammer, André Kaup

CoRR, 2018

Random Subsampling and Data Preconditioning for Ground Penetrating Radars.

Edison Cristofani, Mathias Becquaert, Sébastien Lambot, Marijke Vandewal, Johan H. Stiens, Nikos Deligiannis

IEEE Access, 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

Compressive Online Decomposition of Dynamic Signals Via N-ℓ1 Minimization With Clustered Priors.

Huynh Van Luong, Nikos Deligiannis, Søren Forchhammer, André Kaup

Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Extendable Neural Matrix Completion.

Duc Minh Nguyen, Evaggelia Tsiligianni, Nikos Deligiannis

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Twitter User Geolocation Using Deep Multiview Learning.

Tien Huu Do, Duc Minh Nguyen, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Regularizing Autoencoder-Based Matrix Completion Models via Manifold Learning.

Duc Minh Nguyen, Evaggelia Tsiligianni, A. Robert Calderbank, Nikos Deligiannis

Proceedings of the 26th European Signal Processing Conference, 2018

Online Decomposition of Compressive Streaming Data Using n-l1 Cluster-Weighted Minimization.

Huynh Van Luong, Nikos Deligiannis, Søren Forchhammer, André Kaup

Proceedings of the 2018 Data Compression 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

Bounds and Conditions for Compressive Digital Holography Using Wavelet Sparsifying Bases.

Stijn Bettens, Colas Schretter, Nikos Deligiannis, Peter Schelkens

IEEE Trans. Computational Imaging, 2017

Hourglass-ShapeNetwork Based Semantic Segmentation for High Resolution Aerial Imagery.

Yu Liu, Duc Minh Nguyen, Nikos Deligiannis, Wenrui Ding, Adrian Munteanu

Remote. Sens., 2017

A Review of Urban Air Pollution Monitoring and Exposure Assessment Methods.

Xingzhe Xie, Ivana Semanjski, Sidharta Gautama, Evaggelia Tsiligianni, Nikos Deligiannis, Raj Thilak Rajan, Frank J. Pasveer, Wilfried Philips

ISPRS Int. J. Geo Inf., 2017

Multiview Deep Learning for Predicting Twitter Users' Location.

Tien Huu Do, Duc Minh Nguyen, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis

CoRR, 2017

Incorporating Prior Information in Compressive Online Robust Principal Component Analysis.

Huynh Van Luong, Nikos Deligiannis, Jürgen Seiler, Søren Forchhammer, André Kaup

CoRR, 2017

Review and Classification of Multichannel MAC Protocols for Low-Power and Lossy Networks.

Carlos Manuel García Algora, Vitalio Alfonso Reguera, Nikos Deligiannis, Kris Steenhaut

IEEE Access, 2017

Rate-distortion trade-offs in acquisition of signal parameters.

Miguel R. D. Rodrigues, Nikos Deligiannis, Lifeng Lai, Yonina C. Eldar

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Deep learning sparse ternary projections for compressed sensing of images.

Duc Minh Nguyen, Evaggelia Tsiligianni, Nikos Deligiannis

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Compressive online robust principal component analysis with multiple prior information.

Huynh Van Luong, Nikos Deligiannis, Jürgen Seiler, Søren Forchhammer, André Kaup

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

2016

Decentralized Time-Synchronized Channel Swapping for Ad Hoc Wireless Networks.

George Smart, Nikos Deligiannis, Rosario Surace, Valeria Loscrì, Giancarlo Fortino, Yiannis Andreopoulos

IEEE Trans. Veh. Technol., 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

On the Rate-Distortion Function for Binary Source Coding With Side Information.

Andrei Sechelea, Adrian Munteanu, Samuel Cheng, Nikos Deligiannis

IEEE Trans. Commun., 2016

Real-time distributed video coding for 1K-pixel visual sensor networks.

Jan Hanca, Nikos Deligiannis, Adrian Munteanu

J. Electronic Imaging, 2016

Performance Bounds for Sparse Signal Reconstruction with Multiple Side Information.

Huynh Van Luong, Jürgen Seiler, André Kaup, Søren Forchhammer, Nikos Deligiannis

CoRR, 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

Distributed coding of multiview sparse sources with joint recovery.

Huynh Van Luong, Nikos Deligiannis, Søren Forchhammer, André Kaup

Proceedings of the 2016 Picture Coding Symposium, 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

Achievability of the rate-distortion function in binary uniform source coding with side information.

Andrei Sechelea, Adrian Munteanu, Aleksandra Pizurica, Nikos Deligiannis

Proceedings of the 23rd International Conference on Telecommunications, 2016

Twitter data clustering and visualization.

Andrei Sechelea, Tien Do Huu, Evangelos Zimos, 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

The Rate Loss in Binary Source Coding with Decoder Side Information.

Andrei Sechelea, Adrian Munteanu, Samuel Cheng, Nikos Deligiannis

Proceedings of the 2016 Data Compression Conference, 2016

2015

Convergence of Desynchronization Primitives in Wireless Sensor Networks: A Stochastic Modeling Approach.

Dujdow Buranapanichkit, Nikos Deligiannis, Yiannis Andreopoulos

IEEE Trans. Signal Process., 2015

Fast Desynchronization for Decentralized Multichannel Medium Access Control.

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

IEEE Trans. Commun., 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

Perceptual video quality estimation by regression with myopic experts.

Vasileios Giotsas, Nikos Deligiannis, Pam Fisher, Yiannis Andreopoulos

Proceedings of the Seventh International Workshop on Quality of Multimedia Experience, 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

Vectors of locally aggregated centers for compact video representation.

Alhabib Abbas, Nikos Deligiannis, Yiannis Andreopoulos

Proceedings of the 2015 IEEE International Conference on Multimedia and Expo, 2015

Real-time distributed video coding simulator for 1K-pixel visual sensor.

Jan Hanca, Nikos Deligiannis, Adrian Munteanu

Proceedings of the 9th International Conference on Distributed Smart Camera, 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

Binary rate distortion with side information: The asymmetric correlation channel case.

Andrei Sechelea, Samuel Cheng, Adrian Munteanu, Nikos Deligiannis

Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

2014

Dynamic Scheduling for Energy Minimization in Delay-Sensitive Stream Mining.

Shaolei Ren, Nikos Deligiannis, Yiannis Andreopoulos, Mohammad A. Islam, Mihaela van der Schaar

IEEE Trans. Signal Process., 2014

Maximum Likelihood Laplacian Correlation Channel Estimation in Layered Wyner-Ziv Coding.

Nikos Deligiannis, Adrian Munteanu, Shuang Wang, Samuel Cheng, Peter Schelkens

IEEE Trans. Signal Process., 2014

Progressively refined wyner-ziv video coding for visual sensors.

Nikos Deligiannis, Frederik Verbist, Jürgen Slowack, Rik Van de Walle, Peter Schelkens, Adrian Munteanu

ACM Trans. Sens. Networks, 2014

The No-Rate-Loss Property of Wyner-Ziv Coding in the Z-Channel Correlation Case.

Nikos Deligiannis, Andrei Sechelea, Adrian Munteanu, Samuel Cheng

IEEE Commun. Lett., 2014

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

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

CoRR, 2014

On the stochastic modeling of desynchronization convergence in wireless sensor networks.

Dujdow Buranapanichkit, Nikos Deligiannis, Yiannis Andreopoulos

Proceedings of the IEEE International Conference on Acoustics, 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

Embedded cross-decoding scheme for multiple description based distributed source coding.

Beerend Ceulemans, Shahid M. Satti, Nikos Deligiannis, Frederik Verbist, Adrian Munteanu

Proceedings of the 22nd European Signal Processing Conference, 2014

Distributed Joint Source-Channel Coding with Raptor Codes for Correlated Data Gathering in Wireless Sensor Networks.

Nikos Deligiannis, Evangelos Zimos, Dragos Mihai Ofrim, Yiannis Andreopoulos, Adrian Munteanu

Proceedings of the 9th International Conference on Body Area Networks, 2014

2013

Probabilistic motion-compensated prediction in distributed video coding.

Frederik Verbist, Nikos Deligiannis, Marc Jacobs, Joeri Barbarien, Peter Schelkens, Adrian Munteanu, Jan Cornelis

Multim. Tools Appl., 2013

Encoder-driven rate control and mode decision for distributed video coding.

Frederik Verbist, Nikos Deligiannis, Shahid M. Satti, Peter Schelkens, Adrian Munteanu

EURASIP J. Adv. Signal Process., 2013

Performance of complex orthogonal M-ary transmission with Amicable Hadamard matrices over diversity Rayleigh fading channels.

Athanasios C. Iossifides, George D. Papadopoulos, Nikos Deligiannis

Proceedings of the IEEE International Symposium on Signal Processing and Information Technology, 2013

Optimized segmentation of H.264/AVC video for HTTP adaptive streaming.

Jan Lievens, Shahid M. Satti, Nikos Deligiannis, Peter Schelkens, Adrian Munteanu

Proceedings of the 2013 IFIP/IEEE International Symposium on Integrated Network Management (IM 2013), 2013

Efficient intra-frame video coding for low resolution wireless visual sensors.

Weiwei Chen, Frederik Verbist, Nikos Deligiannis, Peter Schelkens, Adrian Munteanu

Proceedings of the 18th International Conference on Digital Signal Processing, 2013

Transform-domain Wyner-Ziv video coding for 1K-pixel visual sensors.

Frederik Verbist, Nikos Deligiannis, Weiwei Chen, Peter Schelkens, Adrian Munteanu

Proceedings of the Seventh International Conference on Distributed Smart Cameras, 2013

Genome Sequence Compression with Distributed Source Coding.

Shuang Wang, Xiaoqian Jiang, Lijuan Cui, Wenrui Dai, Nikos Deligiannis, Pinghao Li, Hongkai Xiong, Samuel Cheng, Lucila Ohno-Machado

Proceedings of the 2013 Data Compression Conference, 2013

2012

Symmetric Scalable Multiple Description Scalar Quantization.

Shahid M. Satti, Nikos Deligiannis, Adrian Munteanu, Peter Schelkens, Jan Cornelis

IEEE Trans. Signal Process., 2012

Side-Information-Dependent Correlation Channel Estimation in Hash-Based Distributed Video Coding.

Nikos Deligiannis, Joeri Barbarien, Marc Jacobs, Adrian Munteanu, Athanassios N. Skodras, Peter Schelkens

IEEE Trans. Image Process., 2012

Distributed Video Coding With Feedback Channel Constraints.

Jürgen Slowack, Jozef Skorupa, Nikos Deligiannis, Peter Lambert, Adrian Munteanu, Rik Van de Walle

IEEE Trans. Circuits Syst. Video Technol., 2012

Efficient Low-Delay Distributed Video Coding.

Jozef Skorupa, Jürgen Slowack, Stefaan Mys, Nikos Deligiannis, Jan De Cock, Peter Lambert, Christos Grecos, Adrian Munteanu, Rik Van de Walle

IEEE Trans. Circuits Syst. Video Technol., 2012

Decoder-driven mode decision in a block-based distributed video codec.

Stefaan Mys, Jürgen Slowack, Jozef Skorupa, Nikos Deligiannis, Peter Lambert, Adrian Munteanu, Rik Van de Walle

Multim. Tools Appl., 2012

Maximum likelihood motion compensation for distributed video coding.

Frederik Verbist, Nikos Deligiannis, Marc Jacobs, Joeri Barbarien, Peter Schelkens, Adrian Munteanu

Integr. Comput. Aided Eng., 2012

Wyner-Ziv video coding for wireless lightweight multimedia applications.

Nikos Deligiannis, Frederik Verbist, Athanasios C. Iossifides, Jürgen Slowack, Rik Van de Walle, Peter Schelkens, Adrian Munteanu

EURASIP J. Wirel. Commun. Netw., 2012

Feedback-constrained Wyner-Ziv video coding.

Jürgen Slowack, Nikos Deligiannis, Peter Lambert, Adrian Munteanu, Rik Van de Walle

Proceedings of the 2012 Picture Coding Symposium, 2012

An optimization algorithm for scalable multiple description scalar quantizers.

Shahid Mahmood Satti, Nikos Deligiannis, Adrian Munteanu, Peter Schelkens, Jan Cornelis

Proceedings of the International Symposium on Information Theory and its Applications, 2012

Compression scheme for increasing the lifetime of wireless intelligent sensor networks.

Dragos Ioan Sacaleanu, Rodica Stoian, Dragos Mihai Ofrim, Nikos Deligiannis

Proceedings of the 20th European Signal Processing Conference, 2012

Joint successive correlation estimation and side information refinement in distributed video coding.

Nikos Deligiannis, Frederik Verbist, Jürgen Slowack, Rik Van de Walle, Peter Schelkens, Adrian Munteanu

Proceedings of the 20th European Signal Processing Conference, 2012

2011

Intra-WZ quantization mismatch in distributed video coding.

Jürgen Slowack, Jozef Skorupa, Peter Lambert, Rik Van de Walle, Nikos Deligiannis, Adrian Munteanu

Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Distributed coding of endoscopic video.

Nikos Deligiannis, Frederik Verbist, Joeri Barbarien, Jürgen Slowack, Rik Van de Walle, Peter Schelkens, Adrian Munteanu

Proceedings of the 18th IEEE International Conference on Image Processing, 2011

A probabilistic predictor for side information generation in distributed video coding.

Frederik Verbist, Nikos Deligiannis, Marc Jacobs, Joeri Barbarien, Peter Schelkens, Jan Cornelis, Adrian Munteanu

Proceedings of the 17th International Conference on Digital Signal Processing, 2011

A model-based analysis of scalable Multiple Description Coding.

Shahid M. Satti, Nikos Deligiannis, Adrian Munteanu, Peter Schelkens, Jan Cornelis

Proceedings of the 17th International Conference on Digital Signal Processing, 2011

Joint DC coefficient band decoding and motion estimation in Wyner-Ziv video coding.

Nikos Deligiannis, Marc Jacobs, Joeri Barbarien, Frederik Verbist, Jozef Skorupa, Rik Van de Walle, Athanassios Skodras, Peter Schelkens, Adrian Munteanu

Proceedings of the 17th International Conference on Digital Signal Processing, 2011

A statistical approach to create side information in distributed video coding.

Frederik Verbist, Nikos Deligiannis, Marc Jacobs, Joeri Barbarien, Peter Schelkens, Adrian Munteanu

Proceedings of the 2011 Fifth ACM/IEEE International Conference on Distributed Smart Cameras, 2011

Demo: Distributed video coding applications in wireless multimedia sensor networks.

Marc Jacobs, Nikos Deligiannis, Frederik Verbist, Jürgen Slowack, Joeri Barbarien, Rik Van de Walle, Peter Schelkens, Adrian Munteanu

Proceedings of the 2011 Fifth ACM/IEEE International Conference on Distributed Smart Cameras, 2011

Efficient hash-driven Wyner-Ziv video coding for visual sensors.

Nikos Deligiannis, Marc Jacobs, Frederik Verbist, Jürgen Slowack, Joeri Barbarien, Rik Van de Walle, Peter Schelkens, Adrian Munteanu

Proceedings of the 2011 Fifth ACM/IEEE International Conference on Distributed Smart Cameras, 2011

2010

Hybrid TOA-AOA Location Positioning Techniques in GSM Networks.

Nikos Deligiannis, Spiros Louvros

Wirel. Pers. Commun., 2010

Rate-distortion driven decoder-side bitplane mode decision for distributed video coding.

Jürgen Slowack, Stefaan Mys, Jozef Skorupa, Nikos Deligiannis, Peter Lambert, Adrian Munteanu, Rik Van de Walle

Signal Process. Image Commun., 2010

Exploiting quantization and spatial correlation in virtual-noise modeling for distributed video coding.

Jozef Skorupa, Jürgen Slowack, Stefaan Mys, Nikos Deligiannis, Jan De Cock, Peter Lambert, Adrian Munteanu, Rik Van de Walle

Signal Process. Image Commun., 2010

Correlation modeling with decoder-side quantization distortion estimation for distributed video coding.

Jozef Skorupa, Jan De Cock, Jürgen Slowack, Stefaan Mys, Peter Lambert, Rik Van de Walle, Nikos Deligiannis, Adrian Munteanu

Proceedings of the Picture Coding Symposium, 2010

Compensating for Motion Estimation Inaccuracies in DVC.

Jürgen Slowack, Jozef Skorupa, Stefaan Mys, Nikos Deligiannis, Peter Lambert, Adrian Munteanu, Rik Van de Walle

Proceedings of the Image and Signal Processing, 4th International Conference, 2010

Bitplane intra coding with decoder-side mode decision in distributed video coding.

Jürgen Slowack, Stefaan Mys, Jozef Skorupa, Peter Lambert, Rik Van de Walle, Nikos Deligiannis, Adrian Munteanu

Proceedings of the International Conference on Image Processing, 2010

2009

Overlapped Block Motion Estimation and Probabilistic Compensation with Application in Distributed Video Coding.

Nikos Deligiannis, Adrian Munteanu, Tom Clerckx, Jan Cornelis, Peter Schelkens

IEEE Signal Process. Lett., 2009

Correlation channel estimation in pixel-domain distributed video coding.

Nikos Deligiannis, Adrian Munteanu, Tom Clerckx, Jan Cornelis, Peter Schelkens

Proceedings of the 10th Workshop on Image Analysis for Multimedia Interactive Services, 2009

Spatial-domain unidirectional DVC with side-information dependent correlation channel estimation.

Nikos Deligiannis, Adrian Munteanu, Tom Clerckx, Jan Cornelis, Peter Schelkens

Proceedings of the 16th International Conference on Digital Signal Processing, 2009

On the side-information dependency of the temporal correlation in Wyner-Ziv video coding.

Nikos Deligiannis, Adrian Munteanu, Tom Clerckx, Jan Cornelis, Peter Schelkens

Proceedings of the IEEE International Conference on Acoustics, 2009

Modeling the Correlation Noise in Spatial Domain Distributed Video Coding.

Nikos Deligiannis, Adrian Munteanu, Tom Clerckx, Peter Schelkens, Jan Cornelis

Proceedings of the 2009 Data Compression Conference (DCC 2009), 2009

2007

Optimizing location positioning using hybrid TOA-AOA techniques in mobile cellular networks.

Nikos Deligiannis, Spiros Louvros, Stavros Kotsopoulos

Proceedings of the 3rd International Conference on Mobile Multimedia Communications, 2007