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Journal Publications

2020

I. Marivani, E. Tsiligianni, B. Cornelis and N. Deligiannis, “Multimodal Deep Unfolding for Guided Image Super-Resolution,” IEEE Transactions on Image Processing, vol. 29, pp. 8443-8456, Aug. 2020.

T. Do, E. Tsiligianni, X. Qin, J. Hofman, V. Panzica La Manna, W. Philips and N. Deligiannis, “Graph-Deep-Learning-Based Inference of Fine-Grained Air Quality From Mobile IoT Sensors,” IEEE Internet of Things Journal, vol. 7, no. 9, pp. 8943-8955, Jun. 2020.

2019

E. Tsiligianni and N. Deligiannis, “Deep coupled-representation learning for sparse linear inverse problems with side information,” IEEE Signal Processing Letters, vol. 26, no. 12, pp. 1768-1772, Dec. 2019.

2018

D. Nguyen, E. Tsiligianni and N. Deligiannis, “Learning Discrete Matrix Factorization Models,” IEEE Signal Processing Letters, vol. 25, no. 5, pp. 720-724, May. 2018.

2017

X. Xie, I. Semanjski, S. Gautama, E. Tsiligianni, N. Deligiannis, R. Thilak Rajan, F. Pasveer and W. Philips, “A Review of Urban Air Pollution Monitoring and Exposure Assessment Methods,” ISPRS International Journal of Geo-Information, vol. 6, no. 12, pp. 1-21, Dec. 2017.

Conference Publications

2020

I. Marivani, E. Tsiligianni, B. Cornelis and N. Deligiannis, “Designing CNNs for Multimodal Image Super-Resolution via the Method of Multipliers,” in 28th European Signal Processing Conference, IEEE, 2020, pp. 5.

I. Marivani, E. Tsiligianni, B. Cornelis and N. Deligiannis, “Joint Image Super-Resolution Via Recurrent Convolutional Neural Networks With Coupled Sparse Priors,” in IEEE International Conference on Image Processing, IEEE, 2020, pp. 5.

2019

I. Marivani, E. Tsiligianni, B. Cornelis and N. Deligiannis, “Learned multimodal convolutional sparse coding for guided image super-resolution,” in IEEE International Conference on Image Processing (ICIP) 2019, 2019, pp. 5.

I. Marivani, E. Tsiligianni, B. Cornelis and N. Deligiannis, “Multimodal image super-resolution via deep unfolding with side Information,” in European Signal Processing Conference (EUSIPCO) 2019, 2019, pp. 5.

T. Do, D. Nguyen, E. Tsiligianni, A. Lopez Aguirre, V. Panzica La Manna, F. Pasveer, W. Philips and N. Deligiannis, “Matrix Completion with Variational Graph Autoencoders: Application in Hyperlocal Air Quality Inference,” in 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, IEEE, Apr. 2019, pp. 5.

X. Qin, L. Platisa, T. Do, E. Tsiligianni, J. Hofman, V. Panzica La Manna, N. Deligiannis and W. Philips, “Context-based analysis of urban air quality using an opportunistic mobile sensor network,” in EAI International Conference on Sensor Systems and Software - S-CUBE 2019, 2019, pp. 18.

2018

D. Nguyen, E. Tsiligianni and N. Deligiannis, “Deep learning sparse ternary projections for compressed sensing of images,” in IEEE Global Conference on Signal and Information Processing, IEEE, Mar. 2018, pp. 5.

D. Nguyen, E. Tsiligianni and N. Deligiannis, “Extendable Neural Matrix Completion,” in IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE, Sep. 2018, pp. 5.

D. Nguyen, E. Tsiligianni, R. Calderbank and N. Deligiannis, “Regularizing autoencoder-based matrix completion models via manifold learning,” in 2018 26th European Signal Processing Conference, EUSIPCO 2018, Nov. 2018, pp. 5.

E. Zimos, J. Mota, E. Tsiligianni, M. Rodrigues and N. Deligiannis, “Data aggregation and recovery for the internet of things: A compressive demixing approach,” in 2018 IEEE Wireless Communications and Networking Conference, WCNC 2018, Jun. 2018, pp. 6.

T. Do, D. Nguyen, E. Tsiligianni, B. Cornelis and N. Deligiannis, “Twitter User Geolocation using Deep Multiview Learning,” in IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE, Apr. 2018, pp. 5.

2017

J. Mota, E. Tsiligianni and N. Deligiannis, “A framework for learning affine transformations for multimodal sparse reconstruction,” in SPIE Wavelets and Sparsity XVII, SPIE, Aug. 2017, pp. 12.