Nikos Deligiannis

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 152

Top Venues

Publications

Yiming Chen, Lusine Abrahamyan, Hichem Sahli, Nikos Deligiannis
Learned Parameter Compression for Efficient and Privacy-Preserving Federated Learning. IEEE Open J. Commun. Soc. 5 (2024)
Esther Rodrigo Bonet, Nikos Deligiannis
Physics-Guided Variational Graph Autoencoder For Air Quality Inference. ICASSP (2024)
Eirini Papagiannopoulou, Matías Nicolás Bossa, Nikos Deligiannis, Hichem Sahli
Long-Term Regional Influenza-Like-Illness Forecasting Using Exogenous Data. IEEE J. Biomed. Health Informatics 28 (6) (2024)
Alexandros Stergiou, Brent De Weerdt, Nikos Deligiannis
Holistic Representation Learning for Multitask Trajectory Anomaly Detection. WACV (2024)
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
The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data. Medical Image Anal. 97 (2024)
Fawaz Sammani, Boris Joukovsky, Nikos Deligiannis
Visualizing and Understanding Contrastive Learning. IEEE Trans. Image Process. 33 (2024)
Brent De Weerdt, Yonina C. Eldar, Nikos Deligiannis
Deep Unfolding Transformers for Sparse Recovery of Video. IEEE Trans. Signal Process. 72 (2024)
Soha Sadat Mahdi, Eirini Papagiannopoulou, Nikos Deligiannis, Hichem Sahli
Co-Occurrence Graph-Enhanced Hierarchical Prediction of ICD Codes. ICASSP (2024)
Boris Joukovsky, Brent De Weerdt, Nikos Deligiannis
Learned Layered Coding for Successive Refinement in the Wyner-Ziv Problem. ICASSP (2024)
Abel Díaz Berenguer, Maryna Kvasnytsia, Matías Nicolás Bossa, Tanmoy Mukherjee, Nikos Deligiannis, Hichem Sahli
Semi-supervised medical image classification via distance correlation minimization and graph attention regularization. Medical Image Anal. 94 (2024)
Huynh Van Luong, Nikos Deligiannis, Roman Wilhelm, Bernd Drapp
Few-Shot Classification with Meta-Learning for Urban Infrastructure Monitoring Using Distributed Acoustic Sensing. Sensors 24 (1) (2024)
Fawaz Sammani, Nikos Deligiannis
Uni-NLX: Unifying Textual Explanations for Vision and Vision-Language Tasks. ICCV (Workshops) (2023)
Yiming Chen, Nikos Deligiannis
Locally Accumulated Adam For Distributed Training With Sparse Updates. ICIP (2023)
Luuk H. Boulogne, Julian Lorenz, Daniel Kienzle, Robin Schön, Katja Ludwig, Rainer Lienhart, Simon Jegou, 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
The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data. CoRR (2023)
Yuqing Yang, Saeed Mahmoudpour, Peter Schelkens, Nikos Deligiannis
Evaluating Quality of Visual Explanations of Deep Learning Models for Vision Tasks. QoMEX (2023)
Alexandros Stergiou, Brent De Weerdt, Nikos Deligiannis
Holistic Representation Learning for Multitask Trajectory Anomaly Detection. CoRR (2023)
Soha Sadat Mahdi, Nikos Deligiannis, Hichem Sahli
A Review of Deep Learning Methods for Automated Clinical Coding. ICCAE (2023)
Giannis Bekoulis, Christina Papagiannopoulou, Nikos Deligiannis
A Review on Fact Extraction and Verification. ACM Comput. Surv. 55 (2) (2023)
Boris Joukovsky, Brent De Weerdt, Nikos Deligiannis
Learned layered coding for Successive Refinement in the Wyner-Ziv Problem. CoRR (2023)
Fawaz Sammani, Boris Joukovsky, Nikos Deligiannis
Visualizing Invariant Features in Vision Models. DSP (2023)
Brent De Weerdt, Yonina C. Eldar, Nikos Deligiannis
Designing Transformer Networks for Sparse Recovery of Sequential Data Using Deep Unfolding. ICASSP (2023)
Yuqing Yang, Peng Xiao, Nikos Deligiannis
Underwater localization with binary measurements: From compressed sensing to deep unfolding. Digit. Signal Process. 133 (2023)
Alexandros Stergiou, Nikos Deligiannis
Leaping Into Memories: Space-Time Deep Feature Synthesis. ICCV (2023)
Xiangyu Yang, Boris Joukovsky, Nikos Deligiannis
Relevance Propagation through Deep Conditional Random Fields. ICASSP (2023)
Xianlu Li, Nicolas Nadisic, Shaoguang Huang, Nikos Deligiannis, Aleksandra Pizurica
Model-Aware Deep Learning for the Clustering of Hyperspectral Images with Context Preservation. EUSIPCO (2023)
Fawaz Sammani, Nikos Deligiannis
Uni-NLX: Unifying Textual Explanations for Vision and Vision-Language Tasks. CoRR (2023)
Athanasios Kordelas, Thanasis Spyrou, Spyros Voulgaris, Vasileios Megalooikonomou, Nikos Deligiannis
KORDI: A Framework for Real-Time Performance and Cost Optimization of Apache Spark Streaming. ISPASS (2023)
Alexandros Stergiou, Nikos Deligiannis
Leaping Into Memories: Space-Time Deep Feature Synthesis. CoRR (2023)
Xiangyu Yang, Giannis Bekoulis, Nikos Deligiannis
Traffic event detection as a slot filling problem. Eng. Appl. Artif. Intell. 123 (Part A) (2023)
Boris Joukovsky, Fawaz Sammani, Nikos Deligiannis
Model-Agnostic Visual Explanations via Approximate Bilinear Models. ICIP (2023)
Xinyue Zhang, Boris Joukovsky, Nikos Deligiannis
Quantitative Evaluation of Video Explainability Methods via Anomaly Localization. EUSIPCO (2023)
Anh Minh Truong, Wilfried Philips, Nikos Deligiannis
Novel View Synthesis for Sparse RGB-D camera networks. IVMSP (2022)
Fawaz Sammani, Boris Joukovsky, Nikos Deligiannis
Visualizing and Understanding Self-Supervised Vision Learning. CoRR (2022)
Lusine Abrahamyan, Anh Minh Truong, Wilfried Philips, Nikos Deligiannis
Gradient Variance Loss for Structure-Enhanced Image Super-Resolution. ICASSP (2022)
Tanmoy Mukherjee, Nikos Deligiannis
Novel Class Discovery: A Dependency Approach. ICASSP (2022)
Jelle Hofman, Tien Huu Do, Xuening Qin, Esther Rodrigo Bonet, Wilfried Philips, Nikos Deligiannis, Valerio Panzica La Manna
Spatiotemporal air quality inference of low-cost sensor data: Evidence from multiple sensor testbeds. Environ. Model. Softw. 149 (2022)
Esther Rodrigo Bonet, Tien Huu Do, Xuening Qin, Jelle Hofman, Valerio Panzica La Manna, Wilfried Philips, Nikos Deligiannis
Conditional Variational Graph Autoencoder for Air Quality Forecasting. EUSIPCO (2022)
Fawaz Sammani, Tanmoy Mukherjee, Nikos Deligiannis
NLX-GPT: A Model for Natural Language Explanations in Vision and Vision-Language Tasks. CoRR (2022)
Lusine Abrahamyan, Anh Minh Truong, Wilfried Philips, Nikos Deligiannis
Gradient Variance Loss for Structure-Enhanced Image Super-Resolution. CoRR (2022)
Abel Díaz Berenguer, Tanmoy Mukherjee, Matias Bossa, Nikos Deligiannis, Hichem Sahli
Representation Learning with Information Theory for COVID-19 Detection. CoRR (2022)
Lusine Abrahamyan, Nikos Deligiannis
Entropy-Based Feature Extraction for Real-Time Semantic Segmentation. ICIP (2022)
Lusine Abrahamyan, Nikos Deligiannis
Entropy-Based Feature Extraction For Real-Time Semantic Segmentation. CoRR (2022)
Esther Rodrigo Bonet, Tien Huu Do, Xuening Qin, Jelle Hofman, Valerio Panzica La Manna, Wilfried Philips, Nikos Deligiannis
Explaining Graph Neural Networks With Topology-Aware Node Selection: Application in Air Quality Inference. IEEE Trans. Signal Inf. Process. over Networks 8 (2022)
Xuening Qin, Tien Huu Do, Jelle Hofman, Esther Rodrigo Bonet, Valerio Panzica La Manna, Nikos Deligiannis, Wilfried Philips
Fine-Grained Urban Air Quality Mapping from Sparse Mobile Air Pollution Measurements and Dense Traffic Density. Remote. Sens. 14 (11) (2022)
Lusine Abrahamyan, Yiming Chen, Giannis Bekoulis, Nikos Deligiannis
Learned Gradient Compression for Distributed Deep Learning. IEEE Trans. Neural Networks Learn. Syst. 33 (12) (2022)
Abel Díaz Berenguer, Tanmoy Mukherjee, Yifei Da, Matías Nicolás Bossa, Maryna Kvasnytsia, Jef Vandemeulebroucke, Nikos Deligiannis, Hichem Sahli
Representation Learning with Information Theory to Detect COVID-19 and Its Severity. ECCV Workshops (7) (2022)
Iman Marivani, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis
Designing CNNs for Multimodal Image Restoration and Fusion via Unfolding the Method of Multipliers. IEEE Trans. Circuits Syst. Video Technol. 32 (9) (2022)
Fawaz Sammani, Tanmoy Mukherjee, Nikos Deligiannis
NLX-GPT: A Model for Natural Language Explanations in Vision and Vision-Language Tasks. CVPR (2022)
Lusine Abrahamyan, Yiming Chen, Giannis Bekoulis, Nikos Deligiannis
Autoencoder-Based Gradient Compression for Distributed Training. EUSIPCO (2021)
Xuening Qin, Tien Huu Do, Jelle Hofman, Esther Rodrigo Bonet, Valerio Panzica La Manna, Nikos Deligiannis, Wilfried Philips
Street-level Air Quality Inference Based on Geographically Context-aware Random Forest Using Opportunistic Mobile Sensor Network. ICIAI (2021)
Boris Joukovsky, Tanmoy Mukherjee, Huynh Van Luong, Nikos Deligiannis
Generalization error bounds for deep unfolding RNNs. UAI (2021)
Huynh Van Luong, Boris Joukovsky, Nikos Deligiannis
Designing Interpretable Recurrent Neural Networks for Video Reconstruction via Deep Unfolding. IEEE Trans. Image Process. 30 (2021)
Nikos Deligiannis
Keynote Lecture : Gradient compression for efficient distributed deep learning. ISPDC (2021)
Ruben Pauwels, Evaggelia Tsiligianni, Nikos Deligiannis
HCGM-Net: A Deep Unfolding Network for Financial Index Tracking. ICASSP (2021)
Tien Huu Do, Marc Berneman, Jasabanta Patro, Giannis Bekoulis, Nikos Deligiannis
Context-Aware Deep Markov Random Fields for Fake News Detection. IEEE Access 9 (2021)
Evaggelia Tsiligianni, Matina Zerva, Iman Marivani, Nikos Deligiannis, Lisimachos P. Kondi
Interpretable Deep Learning for Multimodal Super-Resolution of Medical Images. MICCAI (6) (2021)
Lusine Abrahamyan, Yiming Chen, Giannis Bekoulis, Nikos Deligiannis
Learned Gradient Compression for Distributed Deep Learning. CoRR (2021)
Xiangyu Yang, Giannis Bekoulis, Nikos Deligiannis
Traffic Event Detection as a Slot Filling Problem. CoRR (2021)
Lusine Abrahamyan, Valentin Ziatchin, Yiming Chen, Nikos Deligiannis
Bias Loss for Mobile Neural Networks. CoRR (2021)
Tien Huu Do, Duc Minh Nguyen, Giannis Bekoulis, Adrian Munteanu, Nikos Deligiannis
Graph convolutional neural networks with node transition probability-based message passing and DropNode regularization. Expert Syst. Appl. 174 (2021)
Lusine Abrahamyan, Valentin Ziatchin, Yiming Chen, Nikos Deligiannis
Bias Loss for Mobile Neural Networks. ICCV (2021)
Peng Xiao, Bin Liao, Nikos Deligiannis
DeepFPC: A deep unfolded network for sparse signal recovery from 1-Bit measurements with application to DOA estimation. Signal Process. 176 (2020)
Duc Minh Nguyen, A. Robert Calderbank, Nikos Deligiannis
Geometric Matrix Completion With Deep Conditional Random Fields. IEEE Trans. Neural Networks Learn. Syst. 31 (9) (2020)
Yuqing Yang, Peng Xiao, Bin Liao, Nikos Deligiannis
A Robust Deep Unfolded Network for Sparse Signal Recovery from Noisy Binary Measurements. EUSIPCO (2020)
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
Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging. CoRR (2020)
Pingfan Song, Xin Deng, João F. C. Mota, Nikos Deligiannis, Pier Luigi Dragotti, Miguel R. D. Rodrigues
Multimodal Image Super-Resolution via Joint Sparse Representations Induced by Coupled Dictionaries. IEEE Trans. Computational Imaging 6 (2020)
Esther Rodrigo Bonet, Duc Minh Nguyen, Nikos Deligiannis
Temporal Collaborative Filtering with Graph Convolutional Neural Networks. ICPR (2020)
Tien Huu Do, Duc Minh Nguyen, Nikos Deligiannis
Graph Auto-Encoder for Graph Signal Denoising. ICASSP (2020)
Huynh Van Luong, Boris Joukovsky, Nikos Deligiannis
Minimization: Architecture Design and Generalization Analysis. CoRR (2020)
Esther Rodrigo Bonet, Duc Minh Nguyen, Nikos Deligiannis
Temporal Collaborative Filtering with Graph Convolutional Neural Networks. CoRR (2020)
Iman Marivani, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis
Designing CNNs for Multimodal Image Super-Resolution via the Method of Multipliers. EUSIPCO (2020)
Yuqing Yang, Peng Xiao, Bin Liao, Nikos Deligiannis
A Robust Deep Unfolded Network for Sparse Signal Recovery from Noisy Binary Measurements. CoRR (2020)
Jelle Hofman, Tien Huu Do, Xuening Qin, Esther Rodrigo Bonet, Martha E. Nikolaou, Wilfried Philips, Nikos Deligiannis, Valerio Panzica La Manna
Spatiotemporal Air Quality Inference of Low-Cost Sensor Data; Application on a Cycling Monitoring Network. ICPR Workshops (6) (2020)
Xiangyu Yang, Giannis Bekoulis, Nikos Deligiannis
imec-ETRO-VUB at W-NUT 2020 Shared Task-3: A multilabel BERT-based system for predicting COVID-19 events. W-NUT@EMNLP (2020)
Iman Marivani, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis
Interpretable Deep Multimodal Image Super-Resolution. CoRR (2020)
Tien Huu Do, Duc Minh Nguyen, Giannis Bekoulis, Adrian Munteanu, Nikos Deligiannis
Graph Convolutional Neural Networks with Node Transition Probability-based Message Passing and DropNode Regularization. CoRR (2020)
Iman Marivani, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis
Multimodal Deep Unfolding for Guided Image Super-Resolution. CoRR (2020)
Huynh Van Luong, Boris Joukovsky, Yonina C. Eldar, Nikos Deligiannis
A Deep-Unfolded Reference-Based RPCA Network For Video Foreground-Background Separation. EUSIPCO (2020)
Iman Marivani, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis
Joint Image Super-Resolution Via Recurrent Convolutional Neural Networks With Coupled Sparse Priors. ICIP (2020)
Jelle Hofman, Martha E. Nikolaou, Tien Huu Do, Xuening Qin, Esther Rodrigo Bonet, Wilfried Philips, Nikos Deligiannis, Valerio Panzica La Manna
Mapping Air Quality in IoT Cities: Cloud Calibration and Air Quality Inference of Sensor Data. IEEE SENSORS (2020)
Giannis Bekoulis, Christina Papagiannopoulou, Nikos Deligiannis
A Review on Fact Extraction and VERification: The FEVER case. CoRR (2020)
Tien Huu Do, Evaggelia Tsiligianni, Xuening Qin, Jelle Hofman, Valerio Panzica La Manna, Wilfried Philips, Nikos Deligiannis
Graph-Deep-Learning-Based Inference of Fine-Grained Air Quality From Mobile IoT Sensors. IEEE Internet Things J. 7 (9) (2020)
Huynh Van Luong, Boris Joukovsky, Yonina C. Eldar, Nikos Deligiannis
A Deep-Unfolded Reference-Based RPCA Network For Video Foreground-Background Separation. CoRR (2020)
Iman Marivani, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis
Multimodal Deep Unfolding for Guided Image Super-Resolution. IEEE Trans. Image Process. 29 (2020)
Duc Minh Nguyen, A. Robert Calderbank, Nikos Deligiannis
Geometric Matrix Completion with Deep Conditional Random Fields. CoRR (2019)
Tien Huu Do, Xiao Luo, Duc Minh Nguyen, Nikos Deligiannis
Rumour Detection Via News Propagation Dynamics and User Representation Learning. DSW (2019)
Evaggelia Tsiligianni, Nikos Deligiannis
Deep Coupled-Representation Learning for Sparse Linear Inverse Problems With Side Information. IEEE Signal Process. Lett. 26 (12) (2019)
Steven Vanden Broucke, Nikos Deligiannis
Visualization of Real-Time Heterogeneous Smart City Data Using Virtual Reality. ISC2 (2019)
Peng Xiao, Bin Liao, Nikos Deligiannis
DeepFPC: Deep Unfolding of a Fixed-Point Continuation Algorithm for Sparse Signal Recovery from Quantized Measurements. CoRR (2019)
Evaggelia Tsiligianni, Nikos Deligiannis
Deep Coupled-Representation Learning for Sparse Linear Inverse Problems with Side Information. CoRR (2019)
Tien Huu Do, Xiao Luo, Duc Minh Nguyen, Nikos Deligiannis
Rumour Detection via News Propagation Dynamics and User Representation Learning. CoRR (2019)
Tien Huu Do, Duc Minh Nguyen, Evaggelia Tsiligianni, Angel Lopez Aguirre, Valerio Panzica La Manna, Frank J. Pasveer, Wilfried Philips, Nikos Deligiannis
Matrix Completion with Variational Graph Autoencoders: Application in Hyperlocal Air Quality Inference. ICASSP (2019)
Hung Duy Le, Huynh Van Luong, Nikos Deligiannis
Designing Recurrent Neural Networks by Unfolding an L1-L1 Minimization Algorithm. ICIP (2019)
Iman Marivani, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis
Multimodal Image Super-resolution via Deep Unfolding with Side Information. CoRR (2019)
Anh Minh Truong, Wilfried Philips, Junzhi Guan, Nikos Deligiannis, Lusine Abrahamyan
Automatic Extrinsic Calibration of Camera Networks Based on Pedestrians. ICDSC (2019)
Duc Minh Nguyen, Tien Huu Do, A. Robert Calderbank, Nikos Deligiannis
Fake News Detection using Deep Markov Random Fields. NAACL-HLT (1) (2019)
Anh Minh Truong, Wilfried Philips, Nikos Deligiannis, Lusine Abrahamyan, Junzhi Guan
Automatic Multi-Camera Extrinsic Parameter Calibration Based on Pedestrian Torsors †. Sensors 19 (22) (2019)
Hung Duy Le, Huynh Van Luong, Nikos Deligiannis
Designing recurrent neural networks by unfolding an l1-l1 minimization algorithm. CoRR (2019)
Xuening Qin, Ljiljana Platisa, Tien Huu Do, Evaggelia Tsiligianni, Jelle Hofman, Valerio Panzica La Manna, Nikos Deligiannis, Wilfried Philips
Context-Based Analysis of Urban Air Quality Using an Opportunistic Mobile Sensor Network. SmartCity360° (2019)
Iman Marivani, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis
Multimodal Image Super-resolution via Deep Unfolding with Side Information. EUSIPCO (2019)

Nikos Deligiannis.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Nikos Deligiannis