Portrait of Claudio Rota

Claudio Rota

Postdoctoral Researcher

Imaging and Vision Laboratory
Department of Informatics, Systems and Communication (DISCo)
University of Milano-Bicocca, Milan, Italy

claudio.rota@unimib.it

Google Scholar GitHub Curriculum vitae (PDF)

About

I am a postdoctoral researcher in image processing, computer vision, and deep learning at the Imaging and Vision Laboratory, Department of Informatics, Systems and Communication (DISCo), University of Milano-Bicocca, Italy. I hold a Ph.D. in Computer Science with a thesis on deep learning methods for video restoration.

My current research focuses on hyperspectral imaging, with applications to image color correction and chromatic adaptation for accurate color reproduction under varying illumination conditions. Previous work includes video restoration and enhancement, diffusion models for video super-resolution, and deep learning for the detection, segmentation, and classification of buildings from street-level and satellite imagery.

Research interests: hyperspectral imaging; color correction and color constancy; video restoration and enhancement; low-light enhancement; generative models; remote sensing.

Publications

Preprints

  1. Illuminant-adaptive 3D lookup tables for camera color correction Claudio Rota, Luca Cogo, Simone Bianco, Raimondo Schettini arXiv preprint arXiv:2607.11681, 2026 arXiv

Journal articles

  1. PyTAGIT: a scalable and interactive human-in-the-loop tool for fast image annotation Flavio Piccoli, Claudio Rota, Rajesh Kumar, Gianluigi Ciocca Neural Computing and Applications, 38(7): 226, 2026 DOI
  2. Deep learning for building attribute classification from street-view images for seismic exposure modeling Rajesh Kumar, Claudio Rota, Flavio Piccoli, Gianluigi Ciocca Applied Sciences, 16(2): 875, 2026 DOI
  3. Scalable residual Laplacian network for HEVC-compressed video restoration Claudio Rota, Marco Buzzelli, Simone Bianco, Raimondo Schettini ACM Transactions on Multimedia Computing, Communications, and Applications, 21(6): 1–22, 2025 DOI
  4. A high-resolution large-scale dataset for building segmentation from aerial imagery in northeastern Italy Claudio Rota, Flavio Piccoli, Rajesh Kumar, Gianluigi Ciocca Scientific Data, 12: 1735, 2025 DOI
  5. A RNN for temporal consistency in low-light videos enhanced by single-frame methods Claudio Rota, Marco Buzzelli, Simone Bianco, Raimondo Schettini IEEE Signal Processing Letters, 31: 2795–2799, 2024 DOI
  6. Video restoration based on deep learning: a comprehensive survey Claudio Rota, Marco Buzzelli, Simone Bianco, Raimondo Schettini Artificial Intelligence Review, 56(6): 5317–5364, 2023 DOI

Conference papers

  1. Enhancing perceptual quality in video super-resolution through temporally-consistent detail synthesis using diffusion models Claudio Rota, Marco Buzzelli, Joost van de Weijer European Conference on Computer Vision (ECCV), pp. 36–53, 2024 DOI
  2. Shallow camera pipeline for night photography enhancement Simone Zini, Claudio Rota, Marco Buzzelli, Simone Bianco, Raimondo Schettini International Conference on Image Analysis and Processing (ICIAP), pp. 51–61, 2023 DOI
  3. MdVRNet: deep video restoration under multiple distortions Claudio Rota, Marco Buzzelli 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP), pp. 419–426, 2022 DOI
  4. Data loss detector: automatically revealing data loss bugs in Android apps Oliviero Riganelli, Simone Paolo Mottadelli, Claudio Rota, Daniela Micucci, Leonardo Mariani 29th ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), pp. 141–152, 2020 DOI

Workshop papers

  1. Enforcing temporal consistency for color constancy in video sequences Marco Buzzelli, Claudio Rota, Simone Bianco, Raimondo Schettini International Workshop on Computational Color Imaging (CCIW), pp. 274–288, 2024 DOI
  2. Back to the future: a night photography rendering ISP without deep learning Simone Zini, Claudio Rota, Marco Buzzelli, Simone Bianco, Raimondo Schettini IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 1465–1473, 2023 DOI
  3. Quality assessment of enhanced videos guided by aesthetics and technical quality attributes Mirko Agarla, Luigi Celona, Claudio Rota, Raimondo Schettini IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 1533–1541, 2023 DOI

Awards and honors

  • 2026 Best Student Paper Award (200€ prize), AIC 2026 Midterm Meeting, Florence, Italy.
  • 2024 3rd place in both the “Quality Score” and “Execution Time” tracks (700$ prize), NTIRE 2024 Challenge on Night Photography Rendering, CVPR 2024, Seattle, USA.
  • 2023 1st place in the “People’s Choice” track, NTIRE 2023 Challenge on Night Photography Rendering, CVPR 2023, Vancouver, Canada.
  • 2020 Distinguished Artifact Award, 29th ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA 2020), virtual event.