Nikos Deligiannis

236 papers A* 5A 3B 22C 6Misc 17Journal 124Unranked 59

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Disinformation: Strategic Misrepresentation across Content, Actors, Processes, and Covertness. CoRR Arttu Malkamäki, Daniel Balinhas, Letizia Iannucci, Megan Vine, Frederik Temmermans, Adrien Coppen, Nikos Deligiannis, Mikko Kivelä, Michael Quayle, Onur Varol, Fintan McGee
2026	J	`jnl`	FUTON: Fourier Tensor Network for Implicit Neural Representations. CoRR Pooya Ashtari, Pourya Behmandpoor, Nikos Deligiannis, Aleksandra Pizurica
2026	J	`jnl`	When Negation Is a Geometry Problem in Vision-Language Models. CoRR Fawaz Sammani, Tzoulio Chamiti, Paul Gavrikov, Nikos Deligiannis
2025	J	`jnl`	A Graph Laplacian Regularizer from Deep Features for Depth Map Super-Resolution. Inf. George Gartzonikas, Evaggelia Tsiligianni, Nikos Deligiannis, Lisimachos P. Kondi
2025	—	`conf`	An Integrated Sensing and AI Framework for EMF and NO2 Exposure Assessment in Urban Environments: A Ghent Case Study. DSP Esther Rodrigo Bonet, Xuening Qin, Kenneth Deprez, Lowie Christiaen, Luc Martens, Burcu Celikkol, Jasper Fabius, Wilfried Philips, Nikos Deligiannis
2025	J	`jnl`	Development and multicentric external validation of a prognostic COVID-19 severity model based on thoracic CT. BMC Medical Informatics Decis. Mak. Ine Dirks, Matías Nicolás Bossa, Abel Díaz Berenguer, Tanmoy Mukherjee, Hichem Sahli, Nikos Deligiannis, Emma Verelst, Bart Ilsen, Simon Van Eyndhoven, Lucie Seyler, Arne Witdouck, Gilles Darcis, Julien Guiot, Athanasios Giannakis, Jef Vandemeulebroucke
2025	J	`jnl`	GF-LRP: A Method for Explaining Predictions Made by Variational Graph Auto-Encoders. IEEE Trans. Emerg. Top. Comput. Intell. Esther Rodrigo Bonet, Nikos Deligiannis
2025	—	`conf`	ReferGPT: Towards Zero-Shot Referring Multi-Object Tracking. CVPR Workshops Tzoulio Chamiti, Leandro Di Bella, Adrian Munteanu, Nikos Deligiannis
2025	J	`jnl`	ReferGPT: Towards Zero-Shot Referring Multi-Object Tracking. CoRR Tzoulio Chamiti, Leandro Di Bella, Adrian Munteanu, Nikos Deligiannis
2025	J	`jnl`	Scalable Context-Preserving Model-Aware Deep Clustering for Hyperspectral Images. CoRR Xianlu Li, Nicolas Nadisic, Shaoguang Huang, Nikos Deligiannis, Aleksandra Pizurica
2025	—	`conf`	Super-Resolution of Depth Maps Using Graph Regularization. EUSIPCO George Gartzonikas, Evaggelia Tsiligianni, Nikos Deligiannis, Lisimachos P. Kondi
2025	J	`jnl`	Temporal Concept Dynamics in Diffusion Models via Prompt-Conditioned Interventions. CoRR Ada Gorgun, Fawaz Sammani, Nikos Deligiannis, Bernt Schiele, Jonas Fischer
2025	J	`jnl`	Unlocking Open-Set Language Accessibility in Vision Models. CoRR Fawaz Sammani, Jonas Fischer, Nikos Deligiannis
2025	J	`jnl`	Vision Transformers: the threat of realistic adversarial patches. CoRR Kasper Cools, Clara Maathuis, Alexander M. van Oers, Claudia S. Hübner, Nikos Deligiannis, Marijke Vandewal, Geert De Cubber
2025	A*	`conf`	Zero-Shot Natural Language Explanations. ICLR Fawaz Sammani, Nikos Deligiannis
2024	Misc	`conf`	Co-Occurrence Graph-Enhanced Hierarchical Prediction of ICD Codes. ICASSP Soha Sadat Mahdi, Eirini Papagiannopoulou, Nikos Deligiannis, Hichem Sahli
2024	J	`jnl`	Deep Unfolding Transformers for Sparse Recovery of Video. IEEE Trans. Signal Process. Brent De Weerdt, Yonina C. Eldar, Nikos Deligiannis
2024	J	`jnl`	Few-Shot Classification with Meta-Learning for Urban Infrastructure Monitoring Using Distributed Acoustic Sensing. Sensors Huynh Van Luong, Nikos Deligiannis, Roman Wilhelm, Bernd Drapp
2024	A	`conf`	Holistic Representation Learning for Multitask Trajectory Anomaly Detection. WACV Alexandros Stergiou, Brent De Weerdt, Nikos Deligiannis
2024	J	`jnl`	Interpretable Neural Networks for Video Separation: Deep Unfolding RPCA With Foreground Masking. IEEE Trans. Image Process. Boris Joukovsky, Yonina C. Eldar, Nikos Deligiannis
2024	A*	`conf`	Interpreting and Analysing CLIP's Zero-Shot Image Classification via Mutual Knowledge. NeurIPS Fawaz Sammani, Nikos Deligiannis
2024	J	`jnl`	Interpreting and Analyzing CLIP's Zero-Shot Image Classification via Mutual Knowledge. CoRR Fawaz Sammani, Nikos Deligiannis
2024	Misc	`conf`	Learned Layered Coding for Successive Refinement in the Wyner-Ziv Problem. ICASSP Boris Joukovsky, Brent De Weerdt, Nikos Deligiannis
2024	J	`jnl`	Learned Parameter Compression for Efficient and Privacy-Preserving Federated Learning. IEEE Open J. Commun. Soc. Yiming Chen, Lusine Abrahamyan, Hichem Sahli, Nikos Deligiannis
2024	J	`jnl`	Long-Term Regional Influenza-Like-Illness Forecasting Using Exogenous Data. IEEE J. Biomed. Health Informatics Eirini Papagiannopoulou, Matías Nicolás Bossa, Nikos Deligiannis, Hichem Sahli
2024	B	`conf`	On The Detection Of Images Generated From Text. ICIP Yuqing Yang, Charuka Moremada, Nikos Deligiannis
2024	—	`conf`	Physics-Guided Graph Convolutional Deep Equilibrium Network for Environmental Data. EUSIPCO Esther Rodrigo Bonet, Nikos Deligiannis
2024	Misc	`conf`	Physics-Guided Variational Graph Autoencoder For Air Quality Inference. ICASSP Esther Rodrigo Bonet, Nikos Deligiannis
2024	J	`jnl`	SNIPPET: A Framework for Subjective Evaluation of Visual Explanations Applied to DeepFake Detection. ACM Trans. Multim. Comput. Commun. Appl. Yuqing Yang, Boris Joukovsky, José Oramas Mogrovejo, Tinne Tuytelaars, Nikos Deligiannis
2024	J	`jnl`	Semi-supervised medical image classification via distance correlation minimization and graph attention regularization. Medical Image Anal. Abel Díaz Berenguer, Maryna Kvasnytsia, Matías Nicolás Bossa, Tanmoy Mukherjee, Nikos Deligiannis, Hichem Sahli
2024	J	`jnl`	The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data. Medical Image Anal. 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
2024	—	`conf`	Unveiling Privacy Risks in Stochastic Neural Networks Training: Effective Image Reconstruction from Gradients. ECCV (30) Yiming Chen, Xiangyu Yang, Nikos Deligiannis
2024	J	`jnl`	Visualizing and Understanding Contrastive Learning. IEEE Trans. Image Process. Fawaz Sammani, Boris Joukovsky, Nikos Deligiannis
2023	—	`conf`	A Review of Deep Learning Methods for Automated Clinical Coding. ICCAE Soha Sadat Mahdi, Nikos Deligiannis, Hichem Sahli
2023	J	`jnl`	A Review on Fact Extraction and Verification. ACM Comput. Surv. Giannis Bekoulis, Christina Papagiannopoulou, Nikos Deligiannis
2023	Misc	`conf`	Designing Transformer Networks for Sparse Recovery of Sequential Data Using Deep Unfolding. ICASSP Brent De Weerdt, Yonina C. Eldar, Nikos Deligiannis
2023	B	`conf`	Evaluating Quality of Visual Explanations of Deep Learning Models for Vision Tasks. QoMEX Yuqing Yang, Saeed Mahmoudpour, Peter Schelkens, Nikos Deligiannis
2023	J	`jnl`	Holistic Representation Learning for Multitask Trajectory Anomaly Detection. CoRR Alexandros Stergiou, Brent De Weerdt, Nikos Deligiannis
2023	B	`conf`	KORDI: A Framework for Real-Time Performance and Cost Optimization of Apache Spark Streaming. ISPASS Athanasios Kordelas, Thanasis Spyrou, Spyros Voulgaris, Vasileios Megalooikonomou, Nikos Deligiannis
2023	A*	`conf`	Leaping Into Memories: Space-Time Deep Feature Synthesis. ICCV Alexandros Stergiou, Nikos Deligiannis
2023	J	`jnl`	Leaping Into Memories: Space-Time Deep Feature Synthesis. CoRR Alexandros Stergiou, Nikos Deligiannis
2023	J	`jnl`	Learned layered coding for Successive Refinement in the Wyner-Ziv Problem. CoRR Boris Joukovsky, Brent De Weerdt, Nikos Deligiannis
2023	B	`conf`	Locally Accumulated Adam For Distributed Training With Sparse Updates. ICIP Yiming Chen, Nikos Deligiannis
2023	B	`conf`	Model-Agnostic Visual Explanations via Approximate Bilinear Models. ICIP Boris Joukovsky, Fawaz Sammani, Nikos Deligiannis
2023	—	`conf`	Model-Aware Deep Learning for the Clustering of Hyperspectral Images with Context Preservation. EUSIPCO Xianlu Li, Nicolas Nadisic, Shaoguang Huang, Nikos Deligiannis, Aleksandra Pizurica
2023	—	`conf`	Quantitative Evaluation of Video Explainability Methods via Anomaly Localization. EUSIPCO Xinyue Zhang, Boris Joukovsky, Nikos Deligiannis
2023	Misc	`conf`	Relevance Propagation through Deep Conditional Random Fields. ICASSP Xiangyu Yang, Boris Joukovsky, Nikos Deligiannis
2023	J	`jnl`	The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data. CoRR 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 Dubois
2023	J	`jnl`	Traffic event detection as a slot filling problem. Eng. Appl. Artif. Intell. Xiangyu Yang, Giannis Bekoulis, Nikos Deligiannis
2023	J	`jnl`	Underwater localization with binary measurements: From compressed sensing to deep unfolding. Digit. Signal Process. Yuqing Yang, Peng Xiao, Nikos Deligiannis
2023	—	`conf`	Uni-NLX: Unifying Textual Explanations for Vision and Vision-Language Tasks. ICCV (Workshops) Fawaz Sammani, Nikos Deligiannis
2023	J	`jnl`	Uni-NLX: Unifying Textual Explanations for Vision and Vision-Language Tasks. CoRR Fawaz Sammani, Nikos Deligiannis
2023	—	`conf`	Visualizing Invariant Features in Vision Models. DSP Fawaz Sammani, Boris Joukovsky, Nikos Deligiannis
2022	—	`conf`	Conditional Variational Graph Autoencoder for Air Quality Forecasting. EUSIPCO Esther Rodrigo Bonet, Tien Huu Do, Xuening Qin, Jelle Hofman, Valerio Panzica La Manna, Wilfried Philips, Nikos Deligiannis
2022	J	`jnl`	Designing CNNs for Multimodal Image Restoration and Fusion via Unfolding the Method of Multipliers. IEEE Trans. Circuits Syst. Video Technol. Iman Marivani, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis
2022	J	`jnl`	Entropy-Based Feature Extraction For Real-Time Semantic Segmentation. CoRR Lusine Abrahamyan, Nikos Deligiannis
2022	B	`conf`	Entropy-Based Feature Extraction for Real-Time Semantic Segmentation. ICIP Lusine Abrahamyan, Nikos Deligiannis
2022	J	`jnl`	Explaining Graph Neural Networks With Topology-Aware Node Selection: Application in Air Quality Inference. IEEE Trans. Signal Inf. Process. over Networks Esther Rodrigo Bonet, Tien Huu Do, Xuening Qin, Jelle Hofman, Valerio Panzica La Manna, Wilfried Philips, Nikos Deligiannis
2022	J	`jnl`	Fine-Grained Urban Air Quality Mapping from Sparse Mobile Air Pollution Measurements and Dense Traffic Density. Remote. Sens. Xuening Qin, Tien Huu Do, Jelle Hofman, Esther Rodrigo Bonet, Valerio Panzica La Manna, Nikos Deligiannis, Wilfried Philips
2022	Misc	`conf`	Gradient Variance Loss for Structure-Enhanced Image Super-Resolution. ICASSP Lusine Abrahamyan, Anh Minh Truong, Wilfried Philips, Nikos Deligiannis
2022	J	`jnl`	Gradient Variance Loss for Structure-Enhanced Image Super-Resolution. CoRR Lusine Abrahamyan, Anh Minh Truong, Wilfried Philips, Nikos Deligiannis
2022	J	`jnl`	Learned Gradient Compression for Distributed Deep Learning. IEEE Trans. Neural Networks Learn. Syst. Lusine Abrahamyan, Yiming Chen, Giannis Bekoulis, Nikos Deligiannis
2022	A*	`conf`	NLX-GPT: A Model for Natural Language Explanations in Vision and Vision-Language Tasks. CVPR Fawaz Sammani, Tanmoy Mukherjee, Nikos Deligiannis
2022	J	`jnl`	NLX-GPT: A Model for Natural Language Explanations in Vision and Vision-Language Tasks. CoRR Fawaz Sammani, Tanmoy Mukherjee, Nikos Deligiannis
2022	Misc	`conf`	Novel Class Discovery: A Dependency Approach. ICASSP Tanmoy Mukherjee, Nikos Deligiannis
2022	—	`conf`	Novel View Synthesis for Sparse RGB-D camera networks. IVMSP Anh Minh Truong, Wilfried Philips, Nikos Deligiannis
2022	J	`jnl`	Representation Learning with Information Theory for COVID-19 Detection. CoRR Abel Díaz Berenguer, Tanmoy Mukherjee, Matias Bossa, Nikos Deligiannis, Hichem Sahli
2022	—	`conf`	Representation Learning with Information Theory to Detect COVID-19 and Its Severity. ECCV Workshops (7) Abel Díaz Berenguer, Tanmoy Mukherjee, Yifei Da, Matías Nicolás Bossa, Maryna Kvasnytsia, Jef Vandemeulebroucke, Nikos Deligiannis, Hichem Sahli
2022	J	`jnl`	Spatiotemporal air quality inference of low-cost sensor data: Evidence from multiple sensor testbeds. Environ. Model. Softw. Jelle Hofman, Tien Huu Do, Xuening Qin, Esther Rodrigo Bonet, Wilfried Philips, Nikos Deligiannis, Valerio Panzica La Manna
2022	J	`jnl`	Visualizing and Understanding Self-Supervised Vision Learning. CoRR Fawaz Sammani, Boris Joukovsky, Nikos Deligiannis
2021	—	`conf`	Autoencoder-Based Gradient Compression for Distributed Training. EUSIPCO Lusine Abrahamyan, Yiming Chen, Giannis Bekoulis, Nikos Deligiannis
2021	A*	`conf`	Bias Loss for Mobile Neural Networks. ICCV Lusine Abrahamyan, Valentin Ziatchin, Yiming Chen, Nikos Deligiannis
2021	J	`jnl`	Bias Loss for Mobile Neural Networks. CoRR Lusine Abrahamyan, Valentin Ziatchin, Yiming Chen, Nikos Deligiannis
2021	J	`jnl`	Context-Aware Deep Markov Random Fields for Fake News Detection. IEEE Access Tien Huu Do, Marc Berneman, Jasabanta Patro, Giannis Bekoulis, Nikos Deligiannis
2021	J	`jnl`	Designing Interpretable Recurrent Neural Networks for Video Reconstruction via Deep Unfolding. IEEE Trans. Image Process. Huynh Van Luong, Boris Joukovsky, Nikos Deligiannis
2021	A	`conf`	Generalization error bounds for deep unfolding RNNs. UAI Boris Joukovsky, Tanmoy Mukherjee, Huynh Van Luong, Nikos Deligiannis
2021	J	`jnl`	Graph convolutional neural networks with node transition probability-based message passing and DropNode regularization. Expert Syst. Appl. Tien Huu Do, Duc Minh Nguyen, Giannis Bekoulis, Adrian Munteanu, Nikos Deligiannis
2021	Misc	`conf`	HCGM-Net: A Deep Unfolding Network for Financial Index Tracking. ICASSP Ruben Pauwels, Evaggelia Tsiligianni, Nikos Deligiannis
2021	—	`conf`	Interpretable Deep Learning for Multimodal Super-Resolution of Medical Images. MICCAI (6) Evaggelia Tsiligianni, Matina Zerva, Iman Marivani, Nikos Deligiannis, Lisimachos P. Kondi
2021	C	`conf`	Keynote Lecture : Gradient compression for efficient distributed deep learning. ISPDC Nikos Deligiannis
2021	J	`jnl`	Learned Gradient Compression for Distributed Deep Learning. CoRR Lusine Abrahamyan, Yiming Chen, Giannis Bekoulis, Nikos Deligiannis
2021	—	`conf`	Street-level Air Quality Inference Based on Geographically Context-aware Random Forest Using Opportunistic Mobile Sensor Network. ICIAI Xuening Qin, Tien Huu Do, Jelle Hofman, Esther Rodrigo Bonet, Valerio Panzica La Manna, Nikos Deligiannis, Wilfried Philips
2021	J	`jnl`	Traffic Event Detection as a Slot Filling Problem. CoRR Xiangyu Yang, Giannis Bekoulis, Nikos Deligiannis
2020	—	`conf`	A Deep-Unfolded Reference-Based RPCA Network For Video Foreground-Background Separation. EUSIPCO Huynh Van Luong, Boris Joukovsky, Yonina C. Eldar, Nikos Deligiannis
2020	J	`jnl`	A Deep-Unfolded Reference-Based RPCA Network For Video Foreground-Background Separation. CoRR Huynh Van Luong, Boris Joukovsky, Yonina C. Eldar, Nikos Deligiannis
2020	J	`jnl`	A Review on Fact Extraction and VERification: The FEVER case. CoRR Giannis Bekoulis, Christina Papagiannopoulou, Nikos Deligiannis
2020	—	`conf`	A Robust Deep Unfolded Network for Sparse Signal Recovery from Noisy Binary Measurements. EUSIPCO Yuqing Yang, Peng Xiao, Bin Liao, Nikos Deligiannis
2020	J	`jnl`	A Robust Deep Unfolded Network for Sparse Signal Recovery from Noisy Binary Measurements. CoRR Yuqing Yang, Peng Xiao, Bin Liao, Nikos Deligiannis
2020	J	`jnl`	DeepFPC: A deep unfolded network for sparse signal recovery from 1-Bit measurements with application to DOA estimation. Signal Process. Peng Xiao, Bin Liao, Nikos Deligiannis
2020	—	`conf`	Designing CNNs for Multimodal Image Super-Resolution via the Method of Multipliers. EUSIPCO Iman Marivani, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis
2020	J	`jnl`	Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging. CoRR 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
2020	J	`jnl`	Geometric Matrix Completion With Deep Conditional Random Fields. IEEE Trans. Neural Networks Learn. Syst. Duc Minh Nguyen, A. Robert Calderbank, Nikos Deligiannis
2020	Misc	`conf`	Graph Auto-Encoder for Graph Signal Denoising. ICASSP Tien Huu Do, Duc Minh Nguyen, Nikos Deligiannis
2020	J	`jnl`	Graph Convolutional Neural Networks with Node Transition Probability-based Message Passing and DropNode Regularization. CoRR Tien Huu Do, Duc Minh Nguyen, Giannis Bekoulis, Adrian Munteanu, Nikos Deligiannis
2020	J	`jnl`	Graph-Deep-Learning-Based Inference of Fine-Grained Air Quality From Mobile IoT Sensors. IEEE Internet Things J. Tien Huu Do, Evaggelia Tsiligianni, Xuening Qin, Jelle Hofman, Valerio Panzica La Manna, Wilfried Philips, Nikos Deligiannis
2020	J	`jnl`	Interpretable Deep Multimodal Image Super-Resolution. CoRR Iman Marivani, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis
2020	J	`jnl`	Interpretable Deep Recurrent Neural Networks via Unfolding Reweighted 𝓁 CoRR Huynh Van Luong, Boris Joukovsky, Nikos Deligiannis
2020	B	`conf`	Joint Image Super-Resolution Via Recurrent Convolutional Neural Networks With Coupled Sparse Priors. ICIP Iman Marivani, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis
2020	—	`conf`	Mapping Air Quality in IoT Cities: Cloud Calibration and Air Quality Inference of Sensor Data. IEEE SENSORS Jelle Hofman, Martha E. Nikolaou, Tien Huu Do, Xuening Qin, Esther Rodrigo Bonet, Wilfried Philips, Nikos Deligiannis, Valerio Panzica La Manna
2020	J	`jnl`	Multimodal Deep Unfolding for Guided Image Super-Resolution. CoRR Iman Marivani, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis
2020	J	`jnl`	Multimodal Deep Unfolding for Guided Image Super-Resolution. IEEE Trans. Image Process. Iman Marivani, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis
2020	J	`jnl`	Multimodal Image Super-Resolution via Joint Sparse Representations Induced by Coupled Dictionaries. IEEE Trans. Computational Imaging Pingfan Song, Xin Deng, João F. C. Mota, Nikos Deligiannis, Pier Luigi Dragotti, Miguel R. D. Rodrigues
2020	—	`conf`	Spatiotemporal Air Quality Inference of Low-Cost Sensor Data; Application on a Cycling Monitoring Network. ICPR Workshops (6) Jelle Hofman, Tien Huu Do, Xuening Qin, Esther Rodrigo Bonet, Martha E. Nikolaou, Wilfried Philips, Nikos Deligiannis, Valerio Panzica La Manna
2020	B	`conf`	Temporal Collaborative Filtering with Graph Convolutional Neural Networks. ICPR Esther Rodrigo Bonet, Duc Minh Nguyen, Nikos Deligiannis
2020	J	`jnl`	Temporal Collaborative Filtering with Graph Convolutional Neural Networks. CoRR Esther Rodrigo Bonet, Duc Minh Nguyen, Nikos Deligiannis
2020	—	`conf`	imec-ETRO-VUB at W-NUT 2020 Shared Task-3: A multilabel BERT-based system for predicting COVID-19 events. W-NUT@EMNLP Xiangyu Yang, Giannis Bekoulis, Nikos Deligiannis
2019	—	`conf`	Automatic Extrinsic Calibration of Camera Networks Based on Pedestrians. ICDSC Anh Minh Truong, Wilfried Philips, Junzhi Guan, Nikos Deligiannis, Lusine Abrahamyan
2019	J	`jnl`	Automatic Multi-Camera Extrinsic Parameter Calibration Based on Pedestrian Torsors †. Sensors Anh Minh Truong, Wilfried Philips, Nikos Deligiannis, Lusine Abrahamyan, Junzhi Guan
2019	—	`conf`	BRUBIKE: A Dataset of Bicycle Traffic and Weather Conditions for Predicting Cycling Flow. ISC2 Steven Vanden Broucke, Luis Manuel Vidal Piña, Tien Huu Do, Nikos Deligiannis
2019	—	`conf`	Context-Based Analysis of Urban Air Quality Using an Opportunistic Mobile Sensor Network. SmartCity360° Xuening Qin, Ljiljana Platisa, Tien Huu Do, Evaggelia Tsiligianni, Jelle Hofman, Valerio Panzica La Manna, Nikos Deligiannis, Wilfried Philips
2019	J	`jnl`	Deep Coupled-Representation Learning for Sparse Linear Inverse Problems With Side Information. IEEE Signal Process. Lett. Evaggelia Tsiligianni, Nikos Deligiannis
2019	J	`jnl`	Deep Coupled-Representation Learning for Sparse Linear Inverse Problems with Side Information. CoRR Evaggelia Tsiligianni, Nikos Deligiannis
2019	J	`jnl`	DeepFPC: Deep Unfolding of a Fixed-Point Continuation Algorithm for Sparse Signal Recovery from Quantized Measurements. CoRR Peng Xiao, Bin Liao, Nikos Deligiannis
2019	B	`conf`	Designing Recurrent Neural Networks by Unfolding an L1-L1 Minimization Algorithm. ICIP Hung Duy Le, Huynh Van Luong, Nikos Deligiannis
2019	J	`jnl`	Designing recurrent neural networks by unfolding an l1-l1 minimization algorithm. CoRR Hung Duy Le, Huynh Van Luong, Nikos Deligiannis
2019	—	`conf`	Fake News Detection using Deep Markov Random Fields. NAACL-HLT (1) Duc Minh Nguyen, Tien Huu Do, A. Robert Calderbank, Nikos Deligiannis
2019	J	`jnl`	Geometric Matrix Completion with Deep Conditional Random Fields. CoRR Duc Minh Nguyen, A. Robert Calderbank, Nikos Deligiannis
2019	B	`conf`	Learned Multimodal Convolutional Sparse Coding for Guided Image Super-Resolution. ICIP Iman Marivani, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis
2019	Misc	`conf`	Matrix Completion with Variational Graph Autoencoders: Application in Hyperlocal Air Quality Inference. ICASSP Tien Huu Do, Duc Minh Nguyen, Evaggelia Tsiligianni, Angel Lopez Aguirre, Valerio Panzica La Manna, Frank J. Pasveer, Wilfried Philips, Nikos Deligiannis
2019	—	`conf`	Multimodal Image Super-resolution via Deep Unfolding with Side Information. EUSIPCO Iman Marivani, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis
2019	J	`jnl`	Multimodal Image Super-resolution via Deep Unfolding with Side Information. CoRR Iman Marivani, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis
2019	—	`conf`	Rumour Detection Via News Propagation Dynamics and User Representation Learning. DSW Tien Huu Do, Xiao Luo, Duc Minh Nguyen, Nikos Deligiannis
2019	J	`jnl`	Rumour Detection via News Propagation Dynamics and User Representation Learning. CoRR Tien Huu Do, Xiao Luo, Duc Minh Nguyen, Nikos Deligiannis
2019	—	`conf`	Visualization of Real-Time Heterogeneous Smart City Data Using Virtual Reality. ISC2 Steven Vanden Broucke, Nikos Deligiannis
2018	J	`jnl`	Compressed Sensing mm-Wave SAR for Non-Destructive Testing Applications Using Multiple Weighted Side Information. Sensors Mathias Becquaert, Edison Cristofani, Huynh Van Luong, Marijke Vandewal, Johan Stiens, Nikos Deligiannis
2018	—	`conf`	Compressive Online Decomposition of Dynamic Signals Via N-ℓ1 Minimization With Clustered Priors. SSP Huynh Van Luong, Nikos Deligiannis, Søren Forchhammer, André Kaup
2018	J	`jnl`	Compressive Online Robust Principal Component Analysis via n-ℓ IEEE Trans. Image Process. Huynh Van Luong, Nikos Deligiannis, Jürgen Seiler, Søren Forchhammer, André Kaup
2018	B	`conf`	Data aggregation and recovery for the Internet of Things: A compressive demixing approach. WCNC Evangelos Zimos, João F. C. Mota, Evaggelia Tsiligianni, Miguel R. D. Rodrigues, Nikos Deligiannis
2018	Misc	`conf`	Extendable Neural Matrix Completion. ICASSP Duc Minh Nguyen, Evaggelia Tsiligianni, Nikos Deligiannis
2018	J	`jnl`	Extendable Neural Matrix Completion. CoRR Duc Minh Nguyen, Evaggelia Tsiligianni, Nikos Deligiannis
2018	J	`jnl`	Learning Discrete Matrix Factorization Models. IEEE Signal Process. Lett. Duc Minh Nguyen, Evaggelia Tsiligianni, Nikos Deligiannis
2018	J	`jnl`	Matrix Completion With Variational Graph Autoencoders: Application in Hyperlocal Air Quality Inference. CoRR Tien Huu Do, Duc Minh Nguyen, Evaggelia Tsiligianni, Angel Lopez Aguirre, Valerio Panzica La Manna, Frank J. Pasveer, Wilfried Philips, Nikos Deligiannis
2018	J	`jnl`	Matrix Factorization via Deep Learning. CoRR Duc Minh Nguyen, Evaggelia Tsiligianni, Nikos Deligiannis
2018	B	`conf`	Online Decomposition of Compressive Streaming Data Using n-l1 Cluster-Weighted Minimization. DCC Huynh Van Luong, Nikos Deligiannis, Søren Forchhammer, André Kaup
2018	J	`jnl`	Online Decomposition of Compressive Streaming Data Using n-𝓁 CoRR Huynh Van Luong, Nikos Deligiannis, Søren Forchhammer, André Kaup
2018	J	`jnl`	Random Subsampling and Data Preconditioning for Ground Penetrating Radars. IEEE Access Edison Cristofani, Mathias Becquaert, Sébastien Lambot, Marijke Vandewal, Johan H. Stiens, Nikos Deligiannis
2018	—	`conf`	Regularizing Autoencoder-Based Matrix Completion Models via Manifold Learning. EUSIPCO Duc Minh Nguyen, Evaggelia Tsiligianni, A. Robert Calderbank, Nikos Deligiannis
2018	J	`jnl`	Regularizing Autoencoder-Based Matrix Completion Models via Manifold Learning. CoRR Duc Minh Nguyen, Evaggelia Tsiligianni, A. Robert Calderbank, Nikos Deligiannis
2018	J	`jnl`	Sparse signal recovery with multiple prior information: Algorithm and measurement bounds. Signal Process. Huynh Van Luong, Nikos Deligiannis, Jürgen Seiler, Søren Forchhammer, André Kaup
2018	Misc	`conf`	Twitter User Geolocation Using Deep Multiview Learning. ICASSP Tien Huu Do, Duc Minh Nguyen, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis
2018	J	`jnl`	Twitter User Geolocation using Deep Multiview Learning. CoRR Tien Huu Do, Duc Minh Nguyen, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis
2018	J	`jnl`	Twitter data analysis for studying communities of practice in the media industry. Telematics Informatics Marlen Komorowski, Tien Do Huu, Nikos Deligiannis
2017	J	`jnl`	A Review of Urban Air Pollution Monitoring and Exposure Assessment Methods. ISPRS Int. J. Geo Inf. Xingzhe Xie, Ivana Semanjski, Sidharta Gautama, Evaggelia Tsiligianni, Nikos Deligiannis, Raj Thilak Rajan, Frank J. Pasveer, Wilfried Philips
2017	J	`jnl`	Bounds and Conditions for Compressive Digital Holography Using Wavelet Sparsifying Bases. IEEE Trans. Computational Imaging Stijn Bettens, Colas Schretter, Nikos Deligiannis, Peter Schelkens
2017	J	`jnl`	Compressed Sensing With Prior Information: Strategies, Geometry, and Bounds. IEEE Trans. Inf. Theory João F. C. Mota, Nikos Deligiannis, Miguel R. D. Rodrigues
2017	—	`conf`	Compressive online robust principal component analysis with multiple prior information. GlobalSIP Huynh Van Luong, Nikos Deligiannis, Jürgen Seiler, Søren Forchhammer, André Kaup
2017	J	`jnl`	Deep Learning Sparse Ternary Projections for Compressed Sensing of Images. CoRR Duc Minh Nguyen, Evaggelia Tsiligianni, Nikos Deligiannis
2017	—	`conf`	Deep learning sparse ternary projections for compressed sensing of images. GlobalSIP Duc Minh Nguyen, Evaggelia Tsiligianni, Nikos Deligiannis
2017	J	`jnl`	Heterogeneous Networked Data Recovery From Compressive Measurements Using a Copula Prior. IEEE Trans. Commun. Nikos Deligiannis, João F. C. Mota, Evangelos Zimos, Miguel R. D. Rodrigues
2017	J	`jnl`	Hourglass-ShapeNetwork Based Semantic Segmentation for High Resolution Aerial Imagery. Remote. Sens. Yu Liu, Duc Minh Nguyen, Nikos Deligiannis, Wenrui Ding, Adrian Munteanu
2017	J	`jnl`	Incorporating Prior Information in Compressive Online Robust Principal Component Analysis. CoRR Huynh Van Luong, Nikos Deligiannis, Jürgen Seiler, Søren Forchhammer, André Kaup
2017	J	`jnl`	Multi-Modal Dictionary Learning for Image Separation With Application in Art Investigation. IEEE Trans. Image Process. Nikos Deligiannis, João F. C. Mota, Bruno Cornelis, Miguel R. D. Rodrigues, Ingrid Daubechies
2017	J	`jnl`	Multimodal Image Super-Resolution via Joint Sparse Representations induced by Coupled Dictionaries. CoRR Pingfan Song, Xin Deng, João F. C. Mota, Nikos Deligiannis, Pier Luigi Dragotti, Miguel R. D. Rodrigues
2017	J	`jnl`	Multiview Deep Learning for Predicting Twitter Users' Location. CoRR Tien Huu Do, Duc Minh Nguyen, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis
2017	Misc	`conf`	Rate-distortion trade-offs in acquisition of signal parameters. ICASSP Miguel R. D. Rodrigues, Nikos Deligiannis, Lifeng Lai, Yonina C. Eldar
2017	J	`jnl`	Review and Classification of Multichannel MAC Protocols for Low-Power and Lossy Networks. IEEE Access Carlos Manuel García Algora, Vitalio Alfonso Reguera, Nikos Deligiannis, Kris Steenhaut
2016	—	`conf`	Achievability of the rate-distortion function in binary uniform source coding with side information. ICT Andrei Sechelea, Adrian Munteanu, Aleksandra Pizurica, Nikos Deligiannis
2016	J	`jnl`	Adaptive-Rate Reconstruction of Time-Varying Signals With Application in Compressive Foreground Extraction. IEEE Trans. Signal Process. João F. C. Mota, Nikos Deligiannis, Aswin C. Sankaranarayanan, Volkan Cevher, Miguel R. D. Rodrigues
2016	B	`conf`	Bayesian Compressed Sensing with Heterogeneous Side Information. DCC Evangelos Zimos, João F. C. Mota, Miguel R. D. Rodrigues, Nikos Deligiannis
2016	—	`conf`	Coupled dictionary learning for multimodal image super-resolution. GlobalSIP Pingfan Song, João F. C. Mota, Nikos Deligiannis, Miguel R. D. Rodrigues
2016	J	`jnl`	Decentralized Time-Synchronized Channel Swapping for Ad Hoc Wireless Networks. IEEE Trans. Veh. Technol. George Smart, Nikos Deligiannis, Rosario Surace, Valeria Loscrì, Giancarlo Fortino, Yiannis Andreopoulos
2016	J	`jnl`	Distributed Coding of Multiview Sparse Sources with Joint Recovery. CoRR Huynh Van Luong, Nikos Deligiannis, Søren Forchhammer, André Kaup
2016	C	`conf`	Distributed coding of multiview sparse sources with joint recovery. PCS Huynh Van Luong, Nikos Deligiannis, Søren Forchhammer, André Kaup
2016	—	`conf`	Internet-of-Things data aggregation using compressed sensing with side information. ICT Evangelos Zimos, João F. C. Mota, Miguel R. D. Rodrigues, Nikos Deligiannis
2016	—	`conf`	Measurement matrix design for compressive sensing with side information at the encoder. SSP Pingfan Song, João F. C. Mota, Nikos Deligiannis, Miguel Raul Dias Rodrigues
2016	J	`jnl`	Multi-modal dictionary learning for image separation with application in art investigation. CoRR Nikos Deligiannis, João F. C. Mota, Bruno Cornelis, Miguel R. D. Rodrigues, Ingrid Daubechies
2016	J	`jnl`	On the Rate-Distortion Function for Binary Source Coding With Side Information. IEEE Trans. Commun. Andrei Sechelea, Adrian Munteanu, Samuel Cheng, Nikos Deligiannis
2016	J	`jnl`	Performance Bounds for Sparse Signal Reconstruction with Multiple Side Information. CoRR Huynh Van Luong, Jürgen Seiler, André Kaup, Søren Forchhammer, Nikos Deligiannis
2016	J	`jnl`	Real-time distributed video coding for 1K-pixel visual sensor networks. J. Electronic Imaging Jan Hanca, Nikos Deligiannis, Adrian Munteanu
2016	Misc	`conf`	Reference-based compressed sensing: A sample complexity approach. ICASSP João F. C. Mota, Lior Weizman, Nikos Deligiannis, Yonina C. Eldar, Miguel R. D. Rodrigues
2016	B	`conf`	The Rate Loss in Binary Source Coding with Decoder Side Information. DCC Andrei Sechelea, Adrian Munteanu, Samuel Cheng, Nikos Deligiannis
2016	—	`conf`	Twitter data clustering and visualization. ICT Andrei Sechelea, Tien Do Huu, Evangelos Zimos, Nikos Deligiannis
2016	B	`conf`	X-ray image separation via coupled dictionary learning. ICIP Nikos Deligiannis, João F. C. Mota, Bruno Cornelis, Miguel R. D. Rodrigues, Ingrid Daubechies
2016	J	`jnl`	X-ray image separation via coupled dictionary learning. CoRR Nikos Deligiannis, João F. C. Mota, Bruno Cornelis, Miguel R. D. Rodrigues, Ingrid Daubechies
2015	J	`jnl`	Adaptive-Rate Sparse Signal Reconstruction With Application in Compressive Background Subtraction. CoRR João F. C. Mota, Nikos Deligiannis, Aswin C. Sankaranarayanan, Volkan Cevher, Miguel R. D. Rodrigues
2015	J	`jnl`	Binary Rate Distortion With Side Information: The Asymmetric Correlation Channel Case. CoRR Andrei Sechelea, Samuel Cheng, Adrian Munteanu, Nikos Deligiannis
2015	—	`conf`	Binary rate distortion with side information: The asymmetric correlation channel case. GlobalSIP Andrei Sechelea, Samuel Cheng, Adrian Munteanu, Nikos Deligiannis
2015	J	`jnl`	Convergence of Desynchronization Primitives in Wireless Sensor Networks: A Stochastic Modeling Approach. IEEE Trans. Signal Process. Dujdow Buranapanichkit, Nikos Deligiannis, Yiannis Andreopoulos
2015	—	`conf`	Decentralized multichannel medium access control: viewing desynchronization as a convex optimization method. IPSN Nikos Deligiannis, João F. C. Mota, George Smart, Yiannis Andreopoulos
2015	—	`conf`	Decentralized time-synchronized channel swapping. IPSN George Smart, Nikos Deligiannis, João F. C. Mota, Yiannis Andreopoulos
2015	Misc	`conf`	Dynamic sparse state estimation using ℓ1-ℓ1 minimization: Adaptive-rate measurement bounds, algorithms and applications. ICASSP João F. C. Mota, Nikos Deligiannis, Aswin C. Sankaranarayanan, Volkan Cevher, Miguel R. D. Rodrigues
2015	J	`jnl`	Fast Desynchronization For Decentralized Multichannel Medium Access Control. CoRR Nikos Deligiannis, João F. C. Mota, George Smart, Yiannis Andreopoulos
2015	J	`jnl`	Fast Desynchronization for Decentralized Multichannel Medium Access Control. IEEE Trans. Commun. Nikos Deligiannis, João F. C. Mota, George Smart, Yiannis Andreopoulos
2015	B	`conf`	Perceptual video quality estimation by regression with myopic experts. QoMEX Vasileios Giotsas, Nikos Deligiannis, Pam Fisher, Yiannis Andreopoulos
2015	—	`conf`	Real-time distributed video coding simulator for 1K-pixel visual sensor. ICDSC Jan Hanca, Nikos Deligiannis, Adrian Munteanu
2015	J	`jnl`	Vectors of Locally Aggregated Centers for Compact Video Representation. CoRR Alhabib Abbas, Nikos Deligiannis, Yiannis Andreopoulos
2015	A	`conf`	Vectors of locally aggregated centers for compact video representation. ICME Alhabib Abbas, Nikos Deligiannis, Yiannis Andreopoulos
2014	J	`jnl`	Compressed Sensing With Side Information: Geometrical Interpretation and Performance Bounds. CoRR João F. C. Mota, Nikos Deligiannis, Miguel R. D. Rodrigues
2014	J	`jnl`	Compressed Sensing with Prior Information: Optimal Strategies, Geometry, and Bounds. CoRR João F. C. Mota, Nikos Deligiannis, Miguel R. D. Rodrigues
2014	—	`conf`	Compressed sensing with side information: Geometrical interpretation and performance bounds. GlobalSIP João F. C. Mota, Nikos Deligiannis, Miguel R. D. Rodrigues
2014	J	`jnl`	Convergence of Desynchronization Primitives in Wireless Sensor Networks: A Stochastic Modeling Approach. CoRR Dujdow Buranapanichkit, Nikos Deligiannis, Yiannis Andreopoulos
2014	—	`conf`	Distributed Joint Source-Channel Coding with Raptor Codes for Correlated Data Gathering in Wireless Sensor Networks. BODYNETS Nikos Deligiannis, Evangelos Zimos, Dragos Mihai Ofrim, Yiannis Andreopoulos, Adrian Munteanu
2014	J	`jnl`	Dynamic Scheduling for Energy Minimization in Delay-Sensitive Stream Mining. IEEE Trans. Signal Process. Shaolei Ren, Nikos Deligiannis, Yiannis Andreopoulos, Mohammad A. Islam, Mihaela van der Schaar
2014	—	`conf`	Embedded cross-decoding scheme for multiple description based distributed source coding. EUSIPCO Beerend Ceulemans, Shahid M. Satti, Nikos Deligiannis, Frederik Verbist, Adrian Munteanu
2014	J	`jnl`	Maximum Likelihood Laplacian Correlation Channel Estimation in Layered Wyner-Ziv Coding. IEEE Trans. Signal Process. Nikos Deligiannis, Adrian Munteanu, Shuang Wang, Samuel Cheng, Peter Schelkens
2014	Misc	`conf`	On the stochastic modeling of desynchronization convergence in wireless sensor networks. ICASSP Dujdow Buranapanichkit, Nikos Deligiannis, Yiannis Andreopoulos
2014	J	`jnl`	Progressively refined wyner-ziv video coding for visual sensors. ACM Trans. Sens. Networks Nikos Deligiannis, Frederik Verbist, Jürgen Slowack, Rik Van de Walle, Peter Schelkens, Adrian Munteanu
2014	J	`jnl`	The No-Rate-Loss Property of Wyner-Ziv Coding in the Z-Channel Correlation Case. IEEE Commun. Lett. Nikos Deligiannis, Andrei Sechelea, Adrian Munteanu, Samuel Cheng
2013	—	`conf`	Efficient intra-frame video coding for low resolution wireless visual sensors. DSP Weiwei Chen, Frederik Verbist, Nikos Deligiannis, Peter Schelkens, Adrian Munteanu
2013	J	`jnl`	Encoder-driven rate control and mode decision for distributed video coding. EURASIP J. Adv. Signal Process. Frederik Verbist, Nikos Deligiannis, Shahid M. Satti, Peter Schelkens, Adrian Munteanu
2013	B	`conf`	Genome Sequence Compression with Distributed Source Coding. DCC Shuang Wang, Xiaoqian Jiang, Lijuan Cui, Wenrui Dai, Nikos Deligiannis, Pinghao Li, Hongkai Xiong, Samuel Cheng, Lucila Ohno-Machado
2013	B	`conf`	Optimized segmentation of H.264/AVC video for HTTP adaptive streaming. IM Jan Lievens, Shahid M. Satti, Nikos Deligiannis, Peter Schelkens, Adrian Munteanu
2013	—	`conf`	Performance of complex orthogonal M-ary transmission with Amicable Hadamard matrices over diversity Rayleigh fading channels. ISSPIT Athanasios C. Iossifides, George D. Papadopoulos, Nikos Deligiannis
2013	J	`jnl`	Probabilistic motion-compensated prediction in distributed video coding. Multim. Tools Appl. Frederik Verbist, Nikos Deligiannis, Marc Jacobs, Joeri Barbarien, Peter Schelkens, Adrian Munteanu, Jan Cornelis
2013	—	`conf`	Transform-domain Wyner-Ziv video coding for 1K-pixel visual sensors. ICDSC Frederik Verbist, Nikos Deligiannis, Weiwei Chen, Peter Schelkens, Adrian Munteanu
2012	C	`conf`	An optimization algorithm for scalable multiple description scalar quantizers. ISITA Shahid Mahmood Satti, Nikos Deligiannis, Adrian Munteanu, Peter Schelkens, Jan Cornelis
2012	—	`conf`	Compression scheme for increasing the lifetime of wireless intelligent sensor networks. EUSIPCO Dragos Ioan Sacaleanu, Rodica Stoian, Dragos Mihai Ofrim, Nikos Deligiannis
2012	J	`jnl`	Decoder-driven mode decision in a block-based distributed video codec. Multim. Tools Appl. Stefaan Mys, Jürgen Slowack, Jozef Skorupa, Nikos Deligiannis, Peter Lambert, Adrian Munteanu, Rik Van de Walle
2012	J	`jnl`	Distributed Video Coding With Feedback Channel Constraints. IEEE Trans. Circuits Syst. Video Technol. Jürgen Slowack, Jozef Skorupa, Nikos Deligiannis, Peter Lambert, Adrian Munteanu, Rik Van de Walle
2012	J	`jnl`	Efficient Low-Delay Distributed Video Coding. IEEE Trans. Circuits Syst. Video Technol. Jozef Skorupa, Jürgen Slowack, Stefaan Mys, Nikos Deligiannis, Jan De Cock, Peter Lambert, Christos Grecos, Adrian Munteanu, Rik Van de Walle
2012	C	`conf`	Feedback-constrained Wyner-Ziv video coding. PCS Jürgen Slowack, Nikos Deligiannis, Peter Lambert, Adrian Munteanu, Rik Van de Walle
2012	—	`conf`	Joint successive correlation estimation and side information refinement in distributed video coding. EUSIPCO Nikos Deligiannis, Frederik Verbist, Jürgen Slowack, Rik Van de Walle, Peter Schelkens, Adrian Munteanu
2012	J	`jnl`	Maximum likelihood motion compensation for distributed video coding. Integr. Comput. Aided Eng. Frederik Verbist, Nikos Deligiannis, Marc Jacobs, Joeri Barbarien, Peter Schelkens, Adrian Munteanu
2012	J	`jnl`	Side-Information-Dependent Correlation Channel Estimation in Hash-Based Distributed Video Coding. IEEE Trans. Image Process. Nikos Deligiannis, Joeri Barbarien, Marc Jacobs, Adrian Munteanu, Athanassios N. Skodras, Peter Schelkens
2012	J	`jnl`	Symmetric Scalable Multiple Description Scalar Quantization. IEEE Trans. Signal Process. Shahid M. Satti, Nikos Deligiannis, Adrian Munteanu, Peter Schelkens, Jan Cornelis
2012	J	`jnl`	Wyner-Ziv video coding for wireless lightweight multimedia applications. EURASIP J. Wirel. Commun. Netw. Nikos Deligiannis, Frederik Verbist, Athanasios C. Iossifides, Jürgen Slowack, Rik Van de Walle, Peter Schelkens, Adrian Munteanu
2011	—	`conf`	A model-based analysis of scalable Multiple Description Coding. DSP Shahid M. Satti, Nikos Deligiannis, Adrian Munteanu, Peter Schelkens, Jan Cornelis
2011	—	`conf`	A probabilistic predictor for side information generation in distributed video coding. DSP Frederik Verbist, Nikos Deligiannis, Marc Jacobs, Joeri Barbarien, Peter Schelkens, Jan Cornelis, Adrian Munteanu
2011	—	`conf`	A statistical approach to create side information in distributed video coding. ICDSC Frederik Verbist, Nikos Deligiannis, Marc Jacobs, Joeri Barbarien, Peter Schelkens, Adrian Munteanu
2011	—	`conf`	Demo: Distributed video coding applications in wireless multimedia sensor networks. ICDSC Marc Jacobs, Nikos Deligiannis, Frederik Verbist, Jürgen Slowack, Joeri Barbarien, Rik Van de Walle, Peter Schelkens, Adrian Munteanu
2011	B	`conf`	Distributed coding of endoscopic video. ICIP Nikos Deligiannis, Frederik Verbist, Joeri Barbarien, Jürgen Slowack, Rik Van de Walle, Peter Schelkens, Adrian Munteanu
2011	—	`conf`	Efficient hash-driven Wyner-Ziv video coding for visual sensors. ICDSC Nikos Deligiannis, Marc Jacobs, Frederik Verbist, Jürgen Slowack, Joeri Barbarien, Rik Van de Walle, Peter Schelkens, Adrian Munteanu
2011	B	`conf`	Intra-WZ quantization mismatch in distributed video coding. ICIP Jürgen Slowack, Jozef Skorupa, Peter Lambert, Rik Van de Walle, Nikos Deligiannis, Adrian Munteanu
2011	—	`conf`	Joint DC coefficient band decoding and motion estimation in Wyner-Ziv video coding. DSP Nikos Deligiannis, Marc Jacobs, Joeri Barbarien, Frederik Verbist, Jozef Skorupa, Rik Van de Walle, Athanassios Skodras, Peter Schelkens, Adrian Munteanu
2010	B	`conf`	Bitplane intra coding with decoder-side mode decision in distributed video coding. ICIP Jürgen Slowack, Stefaan Mys, Jozef Skorupa, Peter Lambert, Rik Van de Walle, Nikos Deligiannis, Adrian Munteanu
2010	C	`conf`	Compensating for Motion Estimation Inaccuracies in DVC. ICISP Jürgen Slowack, Jozef Skorupa, Stefaan Mys, Nikos Deligiannis, Peter Lambert, Adrian Munteanu, Rik Van de Walle
2010	C	`conf`	Correlation modeling with decoder-side quantization distortion estimation for distributed video coding. PCS Jozef Skorupa, Jan De Cock, Jürgen Slowack, Stefaan Mys, Peter Lambert, Rik Van de Walle, Nikos Deligiannis, Adrian Munteanu
2010	J	`jnl`	Exploiting quantization and spatial correlation in virtual-noise modeling for distributed video coding. Signal Process. Image Commun. Jozef Skorupa, Jürgen Slowack, Stefaan Mys, Nikos Deligiannis, Jan De Cock, Peter Lambert, Adrian Munteanu, Rik Van de Walle
2010	J	`jnl`	Hybrid TOA-AOA Location Positioning Techniques in GSM Networks. Wirel. Pers. Commun. Nikos Deligiannis, Spiros Louvros
2010	J	`jnl`	Rate-distortion driven decoder-side bitplane mode decision for distributed video coding. Signal Process. Image Commun. Jürgen Slowack, Stefaan Mys, Jozef Skorupa, Nikos Deligiannis, Peter Lambert, Adrian Munteanu, Rik Van de Walle
2009	—	`conf`	Correlation channel estimation in pixel-domain distributed video coding. WIAMIS Nikos Deligiannis, Adrian Munteanu, Tom Clerckx, Jan Cornelis, Peter Schelkens
2009	B	`conf`	Modeling the Correlation Noise in Spatial Domain Distributed Video Coding. DCC Nikos Deligiannis, Adrian Munteanu, Tom Clerckx, Peter Schelkens, Jan Cornelis
2009	Misc	`conf`	On the side-information dependency of the temporal correlation in Wyner-Ziv video coding. ICASSP Nikos Deligiannis, Adrian Munteanu, Tom Clerckx, Jan Cornelis, Peter Schelkens
2009	J	`jnl`	Overlapped Block Motion Estimation and Probabilistic Compensation with Application in Distributed Video Coding. IEEE Signal Process. Lett. Nikos Deligiannis, Adrian Munteanu, Tom Clerckx, Jan Cornelis, Peter Schelkens
2009	—	`conf`	Spatial-domain unidirectional DVC with side-information dependent correlation channel estimation. DPS Nikos Deligiannis, Adrian Munteanu, Tom Clerckx, Jan Cornelis, Peter Schelkens
2007	—	`conf`	Optimizing location positioning using hybrid TOA-AOA techniques in mobile cellular networks. MobiMedia Nikos Deligiannis, Spiros Louvros, Stavros Kotsopoulos