Iro Laina
Iro Laina
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Zitiert von
Zitiert von
Deeper Depth Prediction with Fully Convolutional Residual Networks
I Laina, C Rupprecht, V Belagiannis, F Tombari, N Navab
3D Vision (3DV), 2016 Fourth International Conference on, 239-248, 2016
CNN-SLAM: Real-time dense monocular SLAM with learned depth prediction
K Tateno, F Tombari, I Laina, N Navab
Computer Vision and Pattern Recognition (CVPR), 2017, 6243-6252, 2017
RealFusion: 360° Reconstruction of Any Object from a Single Image
L Melas-Kyriazi, C Rupprecht, I Laina, A Vedaldi
CVPR 2023, arXiv: 2302.10663, 2023
Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses
C Rupprecht, I Laina, R DiPietro, M Baust, F Tombari, GD Hager, N Navab
International Conference on Computer Vision (ICCV) 2017, 2016
Concurrent segmentation and localization for tracking of surgical instruments
I Laina, N Rieke, C Rupprecht, JP Vizcaíno, A Eslami, F Tombari, ...
International conference on medical image computing and computer-assisted …, 2017
2017 robotic instrument segmentation challenge
M Allan, A Shvets, T Kurmann, Z Zhang, R Duggal, YH Su, N Rieke, ...
arXiv preprint arXiv:1902.06426, 2019
Neural feature fusion fields: 3D distillation of self-supervised 2D image representations
V Tschernezki, I Laina, D Larlus, A Vedaldi
3DV 2022, 2022
Deep spectral methods: A surprisingly strong baseline for unsupervised semantic segmentation and localization
L Melas-Kyriazi, C Rupprecht, I Laina, A Vedaldi
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
Towards unsupervised image captioning with shared multimodal embeddings
I Laina, C Rupprecht, N Navab
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
Semantic image manipulation using scene graphs
H Dhamo, A Farshad, I Laina, N Navab, GD Hager, F Tombari, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
Training-free layout control with cross-attention guidance
M Chen, I Laina, A Vedaldi
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
Peeking behind objects: Layered depth prediction from a single image
H Dhamo, K Tateno, I Laina, N Navab, F Tombari
Pattern Recognition Letters 125, 333-340, 2019
Clevrtex: A texture-rich benchmark for unsupervised multi-object segmentation
L Karazija, I Laina, C Rupprecht
arXiv preprint arXiv:2111.10265, 2021
Unsupervised part discovery from contrastive reconstruction
S Choudhury, I Laina, C Rupprecht, A Vedaldi
Advances in Neural Information Processing Systems 34, 28104-28118, 2021
Finding an unsupervised image segmenter in each of your deep generative models
L Melas-Kyriazi, C Rupprecht, I Laina, A Vedaldi
arXiv preprint arXiv:2105.08127, 2021
Diffusion models for zero-shot open-vocabulary segmentation
L Karazija, I Laina, A Vedaldi, C Rupprecht
arXiv preprint arXiv:2306.09316, 2023
Guide Me: Interacting with Deep Networks
C Rupprecht, I Laina, N Navab, GD Hager, F Tombari
Computer Vision and Pattern Recognition (CVPR), 2018, 2018
Guess what moves: unsupervised video and image segmentation by anticipating motion
S Choudhury, L Karazija, I Laina, A Vedaldi, C Rupprecht
BMVC 2022, arXiv preprint arXiv:2205.07844, 2022
Dealing with Ambiguity in Robotic Grasping via Multiple Predictions
G Ghazaei, I Laina, C Rupprecht, F Tombari, N Navab, K Nazarpour
Asian Conference on Computer Vision (ACCV) 2018, 2018
Contrastive lift: 3d object instance segmentation by slow-fast contrastive fusion
Y Bhalgat, I Laina, JF Henriques, A Zisserman, A Vedaldi
arXiv preprint arXiv:2306.04633, 2023
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