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
RealFusion: 360 reconstruction of any object from a single image
Melas-Kyriazi L, Laina I, Rupprecht C & Vedaldi A (2023), 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 8446-8455
BibTeX
@inproceedings{realfusionrecon-2023/8,
title={RealFusion: 360 reconstruction of any object from a single image},
author={Melas-Kyriazi L, Laina I, Rupprecht C & Vedaldi A},
booktitle={Conference on Computer Vision and Pattern Recognition (CVPR 2023)},
pages={8446-8455},
year = "2023"
}
Neural feature fusion fields: 3D distillation of self-supervised 2D image representations
Tschernezki V, Laina I, Larlus D & Vedaldi A (2023), 2022 International Conference on 3D Vision (3DV), 443-453
BibTeX
@inproceedings{neuralfeaturefu-2023/2,
title={Neural feature fusion fields: 3D distillation of self-supervised 2D image representations},
author={Tschernezki V, Laina I, Larlus D & Vedaldi A},
booktitle={10th International Conference on 3D Vision (3DV 2022)},
pages={443-453},
year = "2023"
}
Guess what moves: unsupervised video and image segmentation by anticipating motion
Choudhury S, Karazija L, Laina I, Vedaldi A & Rupprecht C (2022), 33rd British Machine Vision Conference Proceedings
BibTeX
@inproceedings{guesswhatmovesu-2022/11,
title={Guess what moves: unsupervised video and image segmentation by anticipating motion},
author={Choudhury S, Karazija L, Laina I, Vedaldi A & Rupprecht C},
booktitle={33rd British Machine Vision Conference (BMVC 2022)},
year = "2022"
}
Deep spectral methods: a surprisingly strong baseline for unsupervised semantic segmentation and localization
Melas-Kyriazi L, Rupprecht C, Laina I & Vedaldi A (2022), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 8354-8365
BibTeX
@inproceedings{deepspectralmet-2022/9,
title={Deep spectral methods: a surprisingly strong baseline for unsupervised semantic segmentation and localization},
author={Melas-Kyriazi L, Rupprecht C, Laina I & Vedaldi A},
booktitle={IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR 2022)},
pages={8354-8365},
year = "2022"
}
The curious layperson: fine-grained image recognition without expert labels
Choudhury S, Laina I, Rupprecht C & Vedaldi A (2022), Proceedings of the 32nd British Machine Vision Conference (BMVC 2021)
BibTeX
@inproceedings{thecuriouslaype-2022/3,
title={The curious layperson: fine-grained image recognition without expert labels},
author={Choudhury S, Laina I, Rupprecht C & Vedaldi A},
booktitle={32nd British Machine Vision Conference (BMVC 2021)},
year = "2022"
}
Unsupervised multi-object segmentation by predicting probable motion patterns
Karazija L, Choudhury S, Laina I, Rupprecht C & Vedaldi A (2022), Advances in Neural Information Processing Systems 35 (NeurIPS 2022), 35
BibTeX
@inproceedings{unsupervisedmul-2022/1,
title={Unsupervised multi-object segmentation by predicting probable motion patterns},
author={Karazija L, Choudhury S, Laina I, Rupprecht C & Vedaldi A},
booktitle={36th Neural Information Processing Systems (NeurIPS 2022)},
year = "2022"
}
Unsupervised part discovery from contrastive reconstruction
Choudhury S, Laina I, Rupprecht C & Vedaldi A (2021), Proceedings of the 34th Conference on Neural Information Processing Systems (NeuRIPS 2021)
BibTeX
@inproceedings{unsupervisedpar-2021/12,
title={Unsupervised part discovery from contrastive reconstruction},
author={Choudhury S, Laina I, Rupprecht C & Vedaldi A},
booktitle={34th Conference on Neural Information Processing Systems (NeuRIPS 2021)},
year = "2021"
}
Measuring the interpretability of unsupervised representations via quantized reversed probing
Laina I, Asano Y & Vedaldi A (2021), International Conference on Learning Representations
BibTeX
@inproceedings{measuringtheint-2021/9,
title={Measuring the interpretability of unsupervised representations via quantized reversed probing},
author={Laina I, Asano Y & Vedaldi A},
booktitle={Tenth International Conference on Learning Representations (ICLR 2022)},
year = "2021"
}
Finding an unsupervised image segmenter in each of your deep generative models
Melas-Kyriazi L, Rupprecht C, Laina I & Vedaldi A (2021), International Conference on Learning Representations
BibTeX
@inproceedings{findinganunsupe-2021/9,
title={Finding an unsupervised image segmenter in each of your deep generative models},
author={Melas-Kyriazi L, Rupprecht C, Laina I & Vedaldi A},
booktitle={ Tenth International Conference on Learning Representations (ICLR 2022)},
year = "2021"
}
The Curious Layperson: Fine-Grained Image Recognition without Expert Labels
Choudhury S, Laina I, Rupprecht C & Vedaldi A (2021), 32nd British Machine Vision Conference, BMVC 2021
BibTeX
@inproceedings{thecuriouslaype-2021/1,
title={The Curious Layperson: Fine-Grained Image Recognition without Expert Labels},
author={Choudhury S, Laina I, Rupprecht C & Vedaldi A},
year = "2021"
}
