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Laina, Iro
26 publications
ICCV
2025
AnimalClue: Recognizing Animals by Their Traces
Risa Shinoda
,
Nakamasa Inoue
,
Iro Laina
,
Christian Rupprecht
,
Hirokatsu Kataoka
NeurIPS
2025
AutoPartGen: Autoregressive 3D Part Generation and Discovery
Minghao Chen
,
Jianyuan Wang
,
Roman Shapovalov
,
Tom Monnier
,
Hyunyoung Jung
,
Dilin Wang
,
Rakesh Ranjan
,
Iro Laina
,
Andrea Vedaldi
ICCV
2025
Geo4D: Leveraging Video Generators for Geometric 4D Scene Reconstruction
Zeren Jiang
,
Chuanxia Zheng
,
Iro Laina
,
Diane Larlus
,
Andrea Vedaldi
CVPR
2025
Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos
Vadim Tschernezki
,
Diane Larlus
,
Iro Laina
,
Andrea Vedaldi
CVPR
2025
PartGen: Part-Level 3D Generation and Reconstruction with Multi-View Diffusion Models
Minghao Chen
,
Roman Shapovalov
,
Iro Laina
,
Tom Monnier
,
Jianyuan Wang
,
David Novotny
,
Andrea Vedaldi
ICCV
2025
SynCity: Training-Free Generation of 3D Worlds
Paul Engstler
,
Aleksandar Shtedritski
,
Iro Laina
,
Christian Rupprecht
,
Andrea Vedaldi
ECCV
2024
DGE: Direct Gaussian 3D Editing by Consistent Multi-View Editing
Minghao Chen
,
Iro Laina
,
Andrea Vedaldi
ECCV
2024
Diffusion Models for Open-Vocabulary Segmentation
Laurynas Karazija
,
Iro Laina
,
Andrea Vedaldi
,
Christian Rupprecht
ICML
2024
IM-3D: Iterative Multiview Diffusion and Reconstruction for High-Quality 3D Generation
Luke Melas-Kyriazi
,
Iro Laina
,
Christian Rupprecht
,
Natalia Neverova
,
Andrea Vedaldi
,
Oran Gafni
,
Filippos Kokkinos
NeurIPS
2024
Learning Segmentation from Point Trajectories
Laurynas Karazija
,
Iro Laina
,
Christian Rupprecht
,
Andrea Vedaldi
ECCV
2024
N2F2: Hierarchical Scene Understanding with Nested Neural Feature Fields
Yash Bhalgat
,
Iro Laina
,
Joao F Henriques
,
Andrew Zisserman
,
Andrea Vedaldi
ECCV
2024
Rethinking Image Super Resolution from Training Data Perspectives
Go Ohtani
,
Ryu Tadokoro
,
Ryosuke Yamada
,
Yuki M Asano
,
Iro Laina
,
Christian Rupprecht
,
Nakamasa Inoue
,
Rio Yokota
,
Hirokatsu Kataoka
,
Yoshimitsu Aoki
CVPR
2024
SHAP-EDITOR: Instruction-Guided Latent 3D Editing in Seconds
Minghao Chen
,
Junyu Xie
,
Iro Laina
,
Andrea Vedaldi
ECCV
2024
Scaling Backwards: Minimal Synthetic Pre-Training?
Ryo Nakamura
,
Ryu Tadokoro
,
Ryosuke Yamada
,
Yuki M Asano
,
Iro Laina
,
Christian Rupprecht
,
Nakamasa Inoue
,
Rio Yokota
,
Hirokatsu Kataoka
WACV
2024
Training-Free Layout Control with Cross-Attention Guidance
Minghao Chen
,
Iro Laina
,
Andrea Vedaldi
NeurIPS
2023
Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion
Yash Bhalgat
,
Iro Laina
,
João F. Henriques
,
Andrea Vedaldi
,
Andrew Zisserman
NeurIPS
2023
EPIC Fields: Marrying 3D Geometry and Video Understanding
Vadim Tschernezki
,
Ahmad Darkhalil
,
Zhifan Zhu
,
David Fouhey
,
Iro Laina
,
Diane Larlus
,
Dima Damen
,
Andrea Vedaldi
CVPR
2023
RealFusion: 360deg Reconstruction of Any Object from a Single Image
Luke Melas-Kyriazi
,
Iro Laina
,
Christian Rupprecht
,
Andrea Vedaldi
CVPR
2022
Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization
Luke Melas-Kyriazi
,
Christian Rupprecht
,
Iro Laina
,
Andrea Vedaldi
ICLR
2022
Finding an Unsupervised Image Segmenter in Each of Your Deep Generative Models
Luke Melas-Kyriazi
,
Christian Rupprecht
,
Iro Laina
,
Andrea Vedaldi
ICLR
2022
Measuring the Interpretability of Unsupervised Representations via Quantized Reversed Probing
Iro Laina
,
Yuki M Asano
,
Andrea Vedaldi
NeurIPS
2022
Unsupervised Multi-Object Segmentation by Predicting Probable Motion Patterns
Laurynas Karazija
,
Subhabrata Choudhury
,
Iro Laina
,
Christian Rupprecht
,
Andrea Vedaldi
NeurIPS
2021
Unsupervised Part Discovery from Contrastive Reconstruction
Subhabrata Choudhury
,
Iro Laina
,
Christian Rupprecht
,
Andrea Vedaldi
NeurIPS
2020
Quantifying Learnability and Describability of Visual Concepts Emerging in Representation Learning
Iro Laina
,
Ruth Fong
,
Andrea Vedaldi
CVPR
2017
CNN-SLAM: Real-Time Dense Monocular SLAM with Learned Depth Prediction
Keisuke Tateno
,
Federico Tombari
,
Iro Laina
,
Nassir Navab
ICCV
2017
Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses
Christian Rupprecht
,
Iro Laina
,
Robert DiPietro
,
Maximilian Baust
,
Federico Tombari
,
Nassir Navab
,
Gregory D. Hager