Researcher
Evangelia Tsiligianni
- Keywords:Electronics and electrical engineering
Affiliations
- Electronics and Informatics (Department)
Member
From8 Apr 2019 → 30 Jun 2019 - Electronics and Informatics (Department)
Member
From15 Jan 2017 → 30 Jun 2019
Publications
1 - 10 of 16
- Joint Image Super-Resolution Via Recurrent Convolutional Neural Networks With Coupled Sparse Priors(2020)Series: Proceedings - International Conference on Image Processing, ICIP
Authors: Evangelia Tsiligianni
Pages: 868-872Number of pages: 5 - Graph-Deep-Learning-Based Inference of Fine-Grained Air Quality From Mobile IoT Sensors(2020)
Authors: Tien Do Huu, Evangelia Tsiligianni, Xuening Qin, Jelle Hofman, Valerio Panzica La Manna, Wilfried Philips, Nikos Deligiannis
Pages: 8943-8955 - Multimodal Deep Unfolding for Guided Image Super-Resolution(2020)
Authors: Iman Marivani, Evangelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis
Pages: 8443-8456 - Context-based analysis of urban air quality using an opportunistic mobile sensor network(2020)Series: Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Authors: Xuening Qin, Ljiljana Platisa, Evangelia Tsiligianni, Jelle Hofman, Valerio Panzica La Manna, Wilfried Philips
Pages: 285-300Number of pages: 16 - Designing CNNs for Multimodal Image Super-Resolution via the Method of Multipliers(2020)
Authors: Evangelia Tsiligianni
Number of pages: 5 - Deep coupled-representation learning for sparse linear inverse problems with side information(2019)
Authors: Evangelia Tsiligianni, Nikos Deligiannis
Pages: 1768-1772 - Learned Multimodal Convolutional Sparse Coding for Guided Image Super-Resolution(2019)Series: Proceedings - International Conference on Image Processing, ICIP
Authors: Evangelia Tsiligianni
Pages: 2891-2895Number of pages: 5 - Multimodal Image Super-Resolution via Deep Unfolding with Side Information(2019)Series: European Signal Processing Conference
Authors: Evangelia Tsiligianni
Pages: 1-5Number of pages: 5 - Matrix Completion with Variational Graph Autoencoders: Application in Hyperlocal Air Quality Inference(2019)
Authors: Tien Do Huu, Minh Duc Nguyen, Evangelia Tsiligianni, Angel Lopez Aguirre, Valerio Panzica La Manna, Frank Pasveer, Wilfried Philips, Nikos Deligiannis
Pages: 7535-7539Number of pages: 5 - Regularizing autoencoder-based matrix completion models via manifold learning(2018)Volume: 2018-September
Authors: Minh Duc Nguyen, Evangelia Tsiligianni, Robert Calderbank
Pages: 1880-1884Number of pages: 5