ROTA CLAUDIO

(2025). Deep learning methods for video restoration. (Tesi di dottorato, , 2025). Dettaglio

Rota, C., Buzzelli, M., van de Weijer, J. (2025). Enhancing Perceptual Quality in Video Super-Resolution Through Temporally-Consistent Detail Synthesis Using Diffusion Models. In Computer Vision – ECCV 2024
18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part XII
Conference proceedings (pp.36-53). Springer Cham [10.1007/978-3-031-73254-6_3]. Dettaglio

Buzzelli, M., Rota, C., Bianco, S., Schettini, R. (2025). Enforcing Temporal Consistency for Color Constancy in Video Sequences. In Computational Color Imaging 8th International Workshop, CCIW 2024, Milan, Italy, September 25–27, 2024, Proceedings (pp.274-288). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-031-72845-7_20]. Dettaglio

Artese, M., Varini, E., Gagliardi, I., Ciocca, G., Piccoli, F., Rota, C., et al. (2025). A web platform for crowdsourced collection, processing, and visualization of exposure data on buildings. In Abstract EGU25 [10.5194/egusphere-egu25-18225]. Dettaglio

Rota, C., Buzzelli, M., Bianco, S., Schettini, R. (2024). A RNN for Temporal Consistency in Low-Light Videos Enhanced by Single-Frame Methods. IEEE SIGNAL PROCESSING LETTERS, 31, 2795-2799 [10.1109/lsp.2024.3475969]. Dettaglio