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Mirko Agarla
Mirko Agarla
PhD Student Artificial Intelligence Politecnico Di Torino - Teaching assistant UnimiB
Verified email at campus.unimib.it - Homepage
Title
Cited by
Cited by
Year
Ntire 2022 spectral recovery challenge and data set
B Arad, R Timofte, R Yahel, N Morag, A Bernat, Y Cai, J Lin, Z Lin, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
832022
An efficient method for no-reference video quality assessment
M Agarla, L Celona, R Schettini
Journal of Imaging 7 (3), 55, 2021
182021
NTIRE 2023 quality assessment of video enhancement challenge
X Liu, X Min, W Sun, Y Zhang, K Zhang, R Timofte, G Zhai, Y Gao, Y Cao, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
162023
No-reference quality assessment of in-capture distorted videos
M Agarla, L Celona, R Schettini
Journal of Imaging 6 (8), 74, 2020
162020
An analysis of spectral similarity measures
M Agarla, S Bianco, L Celona, R Schettini, M Tchobanou
Color and Imaging Conference 29, 300-305, 2021
102021
Fast-n-squeeze: towards real-time spectral reconstruction from rgb images
M Agarla, S Bianco, M Buzzelli, L Celona, R Schettini
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
72022
Semi-supervised cross-lingual speech emotion recognition
M Agarla, S Bianco, L Celona, P Napoletano, A Petrovsky, F Piccoli, ...
Expert Systems with Applications 237, 121368, 2024
62024
Predicting video memorability using a model pretrained with natural language supervision
M Agarla, L Celona, R Schettini
MediaEval Multimedia Benchmark Workshop Working Notes 1, 2023
32023
Quality assessment of enhanced videos guided by aesthetics and technical quality attributes
M Agarla, L Celona, C Rota, R Schettini
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
22023
Quasi Real-Time Apple Defect Segmentation Using Deep Learning
M Agarla, P Napoletano, R Schettini
Sensors 23 (18), 7893, 2023
12023
Synthetic Data Pretraining for Hyperspectral Image Super-Resolution
E Aiello, M Agarla, D Valsesia, P Napoletano, T Bianchi, E Magli, ...
IEEE Access, 2024
2024
On the Semantic Dependency of Video Quality Assessment Methods
M Agarla, L Celona
FINAL PROGRAM AND PROCEEDINGS-LONDON IMAGING MEETING 2021 (1), 49-53, 2021
2021
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