ROTA CLAUDIO

Liu, X., Min, X., Sun, W., Zhang, Y., Zhang, K., Timofte, R., et al. (2023). NTIRE 2023 Quality Assessment of Video Enhancement Challenge. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (pp.1551-1569). IEEE Computer Society [10.1109/CVPRW59228.2023.00158]. Detail

Yang, R., Timofte, R., Li, X., Zhang, Q., Zhang, L., Liu, F., et al. (2023). AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results. In Computer Vision – ECCV 2022 Workshops
Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part III (pp.174-202). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-031-25066-8_8]. Detail

Zini, S., Rota, C., Buzzelli, M., Bianco, S., Schettini, R. (2023). Back to the future: a night photography rendering ISP without deep learning. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (pp.1465-1473). IEEE Computer Society [10.1109/CVPRW59228.2023.00151]. Detail

Rota, C., Buzzelli, M., Bianco, S., Schettini, R. (2023). Video restoration based on deep learning: a comprehensive survey. ARTIFICIAL INTELLIGENCE REVIEW, 56(6), 5317-5364 [10.1007/s10462-022-10302-5]. Detail

Agarla, M., Celona, L., Rota, C., Schettini, R. (2023). Quality assessment of enhanced videos guided by aesthetics and technical quality attributes. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (pp.1533-1541). IEEE Computer Society [10.1109/CVPRW59228.2023.00156]. Detail