Biography
Iro Laina joined the Visual Geometry Group at the University of Oxford as a PDRA in 2020 and became a Departmental Lecturer in Computer Vision in 2023. She has received her PhD (Dr. rer. nat.) from the Technical University of Munich (TUM), Germany, and her PhD dissertation has been recognized with the ECVA PhD Award. Before that, she completed a Msc in Biomedical Computing at TUM and a Diploma in Electrical and Computer Engineering at the National Technical University of Athens (NTUA).
Her research focuses on developing perception systems for understanding images, videos, and the 3D world, via unsupervised and language-supervised learning.
Research Interests
- Computer Vision
- Unsupervised, self-supervised, and language-supervised learning
- Semantic and geometric understanding
Research Groups
SynCity 3000: Bootstrapping Scene-Scale 3D Diffusion
Engstler P, Laina I, Rupprecht C & Vedaldi A (2026)
BibTeX
@misc{syncitybootstra-2026/7,
title={SynCity 3000: Bootstrapping Scene-Scale 3D Diffusion},
author={Engstler P, Laina I, Rupprecht C & Vedaldi A},
year = "2026"
}
Reflect3r: single-view 3D stereo reconstruction aided by mirror reflections
Wu J, Wang Z, Laina I & Prisacariu V (2026), Proceedings 2026 International Conference on 3D Vision 3dv 2026, 94-103
Syn4D: A Multiview Synthetic 4D Dataset
Jiang Z, Lan Y, Luo Y, Deng Y, Lai Z et al. (2026)
BibTeX
@misc{syndamultiviews-2026/5,
title={Syn4D: A Multiview Synthetic 4D Dataset},
author={Jiang Z, Lan Y, Luo Y, Deng Y, Lai Z et al.},
year = "2026"
}
AutoPartGen: autogressive 3D part generation and discovery
Chen M, Wang J, Shapovalov R, Monnier T, Jung H et al. (2026), Advances in Neural Information Processing Systems 38
BibTeX
@inproceedings{autopartgenauto-2026/5,
title={AutoPartGen: autogressive 3D part generation and discovery},
author={Chen M, Wang J, Shapovalov R, Monnier T, Jung H et al.},
booktitle={39th Conference on Neural Information Processing Systems (NeurIPS 2025)},
year = "2026"
}
Learning Compact 3D Gaussians via Feed-Forward Point Fusion
Smart B, Zheng C, Laina I & Prisacariu VA (2026), Proceedings 2026 International Conference on 3D Vision 3dv 2026, 00, 554-564
Do 3D Large Language Models Really Understand 3D Spatial Relationships?
Ma X, Sun T, Chen S, Bhalgat Y, Gu J et al. (2026)
BibTeX
@misc{dodlargelanguag-2026/3,
title={Do 3D Large Language Models Really Understand 3D Spatial Relationships?},
author={Ma X, Sun T, Chen S, Bhalgat Y, Gu J et al.},
year = "2026"
}
What happens next? Anticipating future motion by generating point trajectories
Boduljak G, Karazija L, Laina I, Rupprecht C & Vedaldi A (2026), Proceedings of the 14th International Conference on Learning Representations (ICLR 2026)
BibTeX
@inproceedings{whathappensnext-2026/1,
title={What happens next? Anticipating future motion by generating point trajectories},
author={Boduljak G, Karazija L, Laina I, Rupprecht C & Vedaldi A},
booktitle={14th International Conference on Learning Representations (ICLR 2026)},
year = "2026"
}
Mesh4D: 4D Mesh Reconstruction and Tracking from Monocular Video
Jiang Z, Zheng C, Laina I, Larlus D & Vedaldi A (2026)
BibTeX
@misc{meshddmeshrecon-2026/1,
title={Mesh4D: 4D Mesh Reconstruction and Tracking from Monocular Video},
author={Jiang Z, Zheng C, Laina I, Larlus D & Vedaldi A},
year = "2026"
}
AnimalClue: Recognizing Animals by their Traces
Shinoda R, Inoue N, Laina I, Rupprecht C & Kataoka H (2025), 00, 14776-14786