Showing 25 publications by Iro Laina
IM-3D: iterative multiview diffusion and reconstruction for high-quality 3D generation
Melas-Kyriazi L, Laina I, Rupprecht C, Neverova N, Vedaldi A et al. (2024)
EPIC Fields: marrying 3D geometry and video understanding
Tschernezki V, Darkhalil A, Zhu Z, Fouhey D, Laina I et al. (2024), Proceedings of Advances in Neural Information Processing Systems (NeurIPS): Track on Datasets and Benchmarks, 2023, 36, 26485-26500
BibTeX
@inproceedings{epicfieldsmarry-2024/1,
title={EPIC Fields: marrying 3D geometry and video understanding},
author={Tschernezki V, Darkhalil A, Zhu Z, Fouhey D, Laina I et al.},
booktitle={Advances in Neural Information Processing Systems (NeurIPS2023)},
pages={26485-26500},
year = "2024"
}
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
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
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"
}
Quantifying learnability and describability of visual concepts emerging in representation learning
Laina I, Fong R & Vedaldi A (2020), NeurIPS Proceedings, 33
BibTeX
@inproceedings{quantifyinglear-2020/12,
title={Quantifying learnability and describability of visual concepts emerging in representation learning},
author={Laina I, Fong R & Vedaldi A},
booktitle={Neural Information Processing Systems (NeurIPS 2020)},
year = "2020"
}
Semantic Image Manipulation Using Scene Graphs
Dhamo H, Farshad A, Laina I, Navab N, Hager GD et al. (2020), 00, 5212-5221
Towards Unsupervised Image Captioning with Shared Multimodal Embeddings
Laina I, Rupprecht C & Navab N (2019), 00, 7413-7423
Dealing with Ambiguity in Robotic Grasping via Multiple Predictions
Ghazaei G, Laina I, Rupprecht C, Tombari F, Navab N et al. (2019), 11364, 38-55
Guide Me: Interacting with Deep Networks
Rupprecht C, Laina I, Navab N, Hager GD & Tombari F (2018), 8551-8561
Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses
Rupprecht C, Laina I, DiPietro R, Baust M, Tombari F et al. (2017), 3611-3620
BibTeX
@inproceedings{learninginanunc-2017/10,
title={Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses},
author={Rupprecht C, Laina I, DiPietro R, Baust M, Tombari F et al.},
booktitle={2017 IEEE International Conference on Computer Vision (ICCV)},
pages={3611-3620},
year = "2017"
}
Concurrent Segmentation and Localization for Tracking of Surgical Instruments
Laina I, Rieke N, Rupprecht C, Vizcaíno JP, Eslami A et al. (2017), 10434, 664-672
Contrastive lift: 3D object instance segmentation by slow-fast contrastive fusion
Bhalgat Y, Laina I, Henriques J, Zisserman A & Vedaldi A (0)
BibTeX
@inproceedings{contrastivelift-/,
title={Contrastive lift: 3D object instance segmentation by slow-fast contrastive fusion},
author={Bhalgat Y, Laina I, Henriques J, Zisserman A & Vedaldi A},
booktitle={Advances in Neural Information Processing Systems (NeurIPS 2023)}
}
Deeper Depth Prediction with Fully Convolutional Residual Networks
Laina I, Rupprecht C, Belagiannis V, Tombari F & Navab N (0), 239-248
RealFusion: 360 Reconstruction of Any Object from a Single Image
Melas-Kyriazi L, Laina I, Rupprecht C & Vedaldi A (0)
BibTeX
@inproceedings{realfusionrecon-/,
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}
}
Training-free layout control with cross-attention guidance
Chen M, Laina I & Vedaldi A (0)
BibTeX
@inproceedings{trainingfreelay-/,
title={Training-free layout control with cross-attention guidance},
author={Chen M, Laina I & Vedaldi A},
booktitle={IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2024)}
}
SHAP-EDITOR: instruction-guided latent 3D editing in seconds
Chen M, Xie J, Laina I & Vedaldi A (0)
BibTeX
@inproceedings{shapeditorinstr-/,
title={SHAP-EDITOR: instruction-guided latent 3D editing in seconds},
author={Chen M, Xie J, Laina I & Vedaldi A},
booktitle={Conference on Computer Vision and Pattern Recognition (CVPR 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. (0)
BibTeX
@inproceedings{whenllmsstepint-/,
title={When LLMs step into the 3D world: a survey and meta-analysis of 3D tasks via multi-modal Large Language Models},
author={Ma X, Bhalgat Y, Smart B, Chen S, Li X et al.},
booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024)}
}