Prof. Dr. Riccardo Marin
Academic Career and Research Areas
Prof. Marin's research focuses on Computer Vision, Machine Learning, and Virtual Humans. His research aims to provide Artificial Intelligence with a sense of the three-dimensional World that aligns with human perception. In particular, he focuses on finding analogies between objects, recovering corresponding geometrical and semantical points, with a particular interest in analyzing 3D human data. Methodologically, his research appropriates and extends approaches from spectral shape analysis, 3D signal processing, and geometric deep learning.
Prof. Marin obtained his bachelor's, master's, and PhD in Computer Science at the University of Verona. He was a postdoctoral researcher at Sapienza University of Rome and the University of Tübingen, supported by individual fellowships from the Humboldt Foundation and the Marie Skłodowska-Curie Actions from the European Union. He is an ELLIS member, and since 2025, he has been appointed professor at TUM.
Awards
- Best paper in Topology and Graphs Category at the NeurIPS Workshop on Symmetry and Geometry in Neural Representations (2023)
- Matteo Dallepiane Award for Best PhD Thesis in Computer Graphics (2022)
- Top Cited Article Award from Computer Graphics Forum Journal (2022)
- Best Student Paper Award at the International Conference on 3D Vision (2020)
- Six times Outstanding Reviewer Award at 3DV, ICLR, CVPR, NeurIPS (2020/2023)
Key Publications (all publications)
Marin R, Corona E, Pons-Moll G: "NICP: Neural ICP for 3D Human Registration at Scale". European Conference on Computer Vision. 2025, Volume 15116: 265–285.
AbstractPetrov IA, Marin R, Chibane J, Pons-Moll G: "Object pop-up: Can we infer 3d objects and their poses from human interactions alone?". 2023,Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 4726-4736.
AbstractMarin R, Rakotosaona MJ, Melzi S, Ovsjanikov S. "Correspondence learning via linearly-invariant embedding". Advances in Neural Information Processing Systems. 2020. Volume 34: 1608 - 1620.
AbstractMarin R, Melzi S, Rodolà E, Castellani U. "FARM: Functional automatic registration method for 3d human bodies". Computer Graphics Forum. 2020. Volume 39: 160-173.
AbstractMarin R, Rampini A, Castellani U, Rodolà E, Ovsjanikov M, Melzi S. "Instant recovery of shape from spectrum via latent space connections". International Conference on 3D Vision. 2020. 120-129.
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