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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)

BibTeX View PDF
@misc{imditerativemul-2024/2,
  title={IM-3D: iterative multiview diffusion and reconstruction for high-quality 3D generation},
  author={Melas-Kyriazi L, Laina I, Rupprecht C, Neverova N, Vedaldi A et al.},
  year = "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

BibTeX View PDF
@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 View PDF
@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 View PDF
@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

BibTeX View PDF
@inproceedings{semanticimagema-2020/6,
  title={Semantic Image Manipulation Using Scene Graphs},
  author={Dhamo H, Farshad A, Laina I, Navab N, Hager GD et al.},
  booktitle={2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  pages={5212-5221},
  year = "2020"
}

Towards Unsupervised Image Captioning with Shared Multimodal Embeddings

Laina I, Rupprecht C & Navab N (2019), 00, 7413-7423

BibTeX View PDF
@inproceedings{towardsunsuperv-2019/11,
  title={Towards Unsupervised Image Captioning with Shared Multimodal Embeddings},
  author={Laina I, Rupprecht C & Navab N},
  booktitle={2019 IEEE/CVF International Conference on Computer Vision (ICCV)},
  pages={7413-7423},
  year = "2019"
}

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

BibTeX View PDF
@inproceedings{dealingwithambi-2019/,
  title={Dealing with Ambiguity in Robotic Grasping via Multiple Predictions},
  author={Ghazaei G, Laina I, Rupprecht C, Tombari F, Navab N et al.},
  pages={38-55},
  year = "2019"
}

Guide Me: Interacting with Deep Networks

Rupprecht C, Laina I, Navab N, Hager GD & Tombari F (2018), 8551-8561

BibTeX View PDF
@inproceedings{guidemeinteract-2018/6,
  title={Guide Me: Interacting with Deep Networks},
  author={Rupprecht C, Laina I, Navab N, Hager GD & Tombari F},
  booktitle={2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={8551-8561},
  year = "2018"
}

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 View PDF
@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

BibTeX View PDF
@inproceedings{concurrentsegme-2017/,
  title={Concurrent Segmentation and Localization for Tracking of Surgical Instruments},
  author={Laina I, Rieke N, Rupprecht C, Vizcaíno JP, Eslami A et al.},
  pages={664-672},
  year = "2017"
}

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

BibTeX View PDF
@inproceedings{deeperdepthpred-/,
  title={Deeper Depth Prediction with Fully Convolutional Residual Networks},
  author={Laina I, Rupprecht C, Belagiannis V, Tombari F & Navab N},
  booktitle={2016 Fourth International Conference on 3D Vision (3DV)},
  pages={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)}
}