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
Rethinking Image Super-Resolution from Training Data Perspectives
Ohtani G, Tadokoro R, Yamada R, Asano YM, Laina I et al. (2025), 15075, 19-36
Scaling Backwards: Minimal Synthetic Pre-Training?
Nakamura R, Tadokoro R, Yamada R, Asano YM, Laina I et al. (2025), 15073, 153-171
N2F2: hierarchical scene understanding with nested neural feature fields
Bhalgat Y, Laina I, Henriques J, Zisserman A & Vedaldi A (2024), Computer Vision ??? ECCV 2024 18th European Conference, Milan, Italy, September 29???October 4, 2024, Proceedings, Part LIX, 197-214
Contrastive lift: 3D object instance segmentation by slow-fast contrastive fusion
Bhalgat Y, Laina I, Henriques J, Zisserman A & Vedaldi A (2024), Advances in Neural Information Processing Systems 36, 9092
BibTeX
@inproceedings{contrastivelift-2024/10,
title={Contrastive lift: 3D object instance segmentation by slow-fast contrastive fusion},
author={Bhalgat Y, Laina I, Henriques J, Zisserman A & Vedaldi A},
booktitle={37th Conference in Neural Information Processing Systems (NeurIPS 2023)},
pages={9092},
year = "2024"
}
Diffusion models for open-vocabulary segmentation
Karazija L, Laina I, Vedaldi A & Rupprecht C (2024), Computer Vision ??? ECCV 2024: 18th European Conference, Milan, Italy, September 29???October 4, 2024, Proceedings, Part V, 299-317
Splatt3R: Zero-shot Gaussian Splatting from Uncalibrated Image Pairs
Smart B, Zheng C, Laina I & Prisacariu VA (2024)
3D-Aware Instance Segmentation and Tracking in Egocentric Videos
Bhalgat Y, Tschernezki V, Laina I, Henriques JF, Vedaldi A et al. (2024)
When LLMs step into the 3D World: A Survey and Meta-Analysis of 3D Tasks via Multi-modal Large Language Models
Ma X, Bhalgat Y, Smart B, Chen S, Li X et al. (2024)
Training-free layout control with cross-attention guidance
Chen M, Laina I & Vedaldi A (2024), 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 5331-5341
Invisible Stitch: Generating Smooth 3D Scenes with Depth Inpainting
Engstler P, Vedaldi A, Laina I & Rupprecht C (2024)
BibTeX
@misc{invisiblestitch-2024/4,
title={Invisible Stitch: Generating Smooth 3D Scenes with Depth Inpainting},
author={Engstler P, Vedaldi A, Laina I & Rupprecht C},
year = "2024"
}