Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Nikos Deligiannis

Nikos Deligiannis

Member, IEEE

Traffic Event Detection as a Slot Filling Problem


Sep 13, 2021
Xiangyu Yang, Giannis Bekoulis, Nikos Deligiannis

* Author pre-print version 

  Access Paper or Ask Questions

Bias Loss for Mobile Neural Networks


Aug 10, 2021
Lusine Abrahamyan, Valentin Ziatchin, Yiming Chen, Nikos Deligiannis

* ICCV 2021 

  Access Paper or Ask Questions

Learned Gradient Compression for Distributed Deep Learning


Mar 17, 2021
Lusine Abrahamyan, Yiming Chen, Giannis Bekoulis, Nikos Deligiannis

* 15 pages 24 figures 

  Access Paper or Ask Questions

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


Dec 02, 2020
Abel Díaz Berenguer, Hichem Sahli, Boris Joukovsky, Maryna Kvasnytsia, Ine Dirks, Mitchel Alioscha-Perez, Nikos Deligiannis, Panagiotis Gonidakis, Sebastián Amador Sánchez, Redona Brahimetaj, Evgenia Papavasileiou, Jonathan Cheung-Wai Chana, 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


  Access Paper or Ask Questions

A Review on Fact Extraction and VERification: The FEVER case


Oct 19, 2020
Giannis Bekoulis, Christina Papagiannopoulou, Nikos Deligiannis

* author preprint version 

  Access Paper or Ask Questions

Temporal Collaborative Filtering with Graph Convolutional Neural Networks


Oct 13, 2020
Esther Rodrigo Bonet, Duc Minh Nguyen, Nikos Deligiannis


  Access Paper or Ask Questions

Fact Extraction and VERification -- The FEVER case: An Overview


Oct 06, 2020
Giannis Bekoulis, Christina Papagiannopoulou, Nikos Deligiannis

* author preprint version 

  Access Paper or Ask Questions

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


Oct 02, 2020
Huynh Van Luong, Boris Joukovsky, Yonina C. Eldar, Nikos Deligiannis

* 5 pages, accepted for publication 

  Access Paper or Ask Questions

Interpretable Deep Multimodal Image Super-Resolution


Sep 07, 2020
Iman Marivani, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis

* in Proceedings of iTWIST'20, Paper-ID: 41, Nantes, France, December, 2-4, 2020 

  Access Paper or Ask Questions

Graph Convolutional Neural Networks with Node Transition Probability-based Message Passing and DropNode Regularization


Aug 28, 2020
Tien Huu Do, Duc Minh Nguyen, Giannis Bekoulis, Adrian Munteanu, Nikos Deligiannis

* Author preprint version 

  Access Paper or Ask Questions

Interpretable Deep Recurrent Neural Networks via Unfolding Reweighted $\ell_1$-$\ell_1$ Minimization: Architecture Design and Generalization Analysis


Mar 18, 2020
Huynh Van Luong, Boris Joukovsky, Nikos Deligiannis

* Pre-print: 14 pages 

  Access Paper or Ask Questions

Multimodal Deep Unfolding for Guided Image Super-Resolution


Jan 21, 2020
Iman Marivani, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis


  Access Paper or Ask Questions

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


Dec 04, 2019
Peng Xiao, Bin Liao, Nikos Deligiannis


  Access Paper or Ask Questions

Multimodal Image Super-resolution via Deep Unfolding with Side Information


Oct 18, 2019
Iman Marivani, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis

* 5 pages, 5 figures, 3 tables, EUSIPCO 2019 

  Access Paper or Ask Questions

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


Jul 04, 2019
Evaggelia Tsiligianni, Nikos Deligiannis

* 6 pages, 4 figures 

  Access Paper or Ask Questions

Rumour Detection via News Propagation Dynamics and User Representation Learning


Apr 18, 2019
Tien Huu Do, Xiao Luo, Duc Minh Nguyen, Nikos Deligiannis


  Access Paper or Ask Questions

Designing recurrent neural networks by unfolding an l1-l1 minimization algorithm


Feb 18, 2019
Hung Duy Le, Huynh Van Luong, Nikos Deligiannis


  Access Paper or Ask Questions

Geometric Matrix Completion with Deep Conditional Random Fields


Jan 29, 2019
Duc Minh Nguyen, Robert Calderbank, Nikos Deligiannis

* 12 pages, 4 figures, 8 tables 

  Access Paper or Ask Questions

Matrix Factorization via Deep Learning


Dec 04, 2018
Duc Minh Nguyen, Evaggelia Tsiligianni, Nikos Deligiannis

* in Proceedings of iTWIST'18, Paper-ID: 27, Marseille, France, November, 21-23, 2018 

  Access Paper or Ask Questions

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


Nov 05, 2018
Tien Huu Do, Duc Minh Nguyen, Evaggelia Tsiligianni, Angel Lopez Aguirre, Valerio Panzica La Manna, Frank Pasveer, Wilfried Philips, Nikos Deligiannis


  Access Paper or Ask Questions

Regularizing Autoencoder-Based Matrix Completion Models via Manifold Learning


Jul 04, 2018
Duc Minh Nguyen, Evaggelia Tsiligianni, Robert Calderbank, Nikos Deligiannis

* 5 pages, Eusipco 2018 

  Access Paper or Ask Questions

Extendable Neural Matrix Completion


May 13, 2018
Duc Minh Nguyen, Evaggelia Tsiligianni, Nikos Deligiannis

* 5 pages, 2 figures, ICASSP 2018 

  Access Paper or Ask Questions

Twitter User Geolocation using Deep Multiview Learning


May 11, 2018
Tien Huu Do, Duc Minh Nguyen, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis

* Presented at IEEE International Conference on Acoustics, Speech and Signal Processing, 2018 

  Access Paper or Ask Questions

Multimodal Image Super-resolution via Joint Sparse Representations induced by Coupled Dictionaries


Mar 08, 2018
Pingfan Song, Xin Deng, João F. C. Mota, Nikos Deligiannis, Pier Luigi Dragotti, Miguel R. D. Rodrigues

* 13 pages, 8 figures, 9 tables 

  Access Paper or Ask Questions

Online Decomposition of Compressive Streaming Data Using $n$-$\ell_1$ Cluster-Weighted Minimization


Feb 08, 2018
Huynh Van Luong, Nikos Deligiannis, Søren Forchhammer, André Kaup

* accepted to Data Compression Conference 2018 

  Access Paper or Ask Questions

Multiview Deep Learning for Predicting Twitter Users' Location


Dec 21, 2017
Tien Huu Do, Duc Minh Nguyen, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis

* Submitted to the IEEE Transactions on Big Data 

  Access Paper or Ask Questions

Deep Learning Sparse Ternary Projections for Compressed Sensing of Images


Aug 28, 2017
Duc Minh Nguyen, Evaggelia Tsiligianni, Nikos Deligiannis

* To appear in GlobalSIP 2017 

  Access Paper or Ask Questions

Incorporating Prior Information in Compressive Online Robust Principal Component Analysis


May 27, 2017
Huynh Van Luong, Nikos Deligiannis, Jurgen Seiler, Soren Forchhammer, Andre Kaup


  Access Paper or Ask Questions