Iro Laina

According to our database, Iro Laina authored at least 41 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

The Curious Layperson: Fine-Grained Image Recognition Without Expert Labels.

Subhabrata Choudhury, Iro Laina, Christian Rupprecht, Andrea Vedaldi

Int. J. Comput. Vis., February, 2024

Splatt3R: Zero-shot Gaussian Splatting from Uncalibrated Image Pairs.

Brandon Smart, Chuanxia Zheng, Iro Laina, Victor Adrian Prisacariu

CoRR, 2024

3D-Aware Instance Segmentation and Tracking in Egocentric Videos.

Yash Bhalgat, Vadim Tschernezki, Iro Laina, João F. Henriques, Andrea Vedaldi, Andrew Zisserman

CoRR, 2024

When LLMs step into the 3D World: A Survey and Meta-Analysis of 3D Tasks via Multi-modal Large Language Models.

Xianzheng Ma, Yash Bhalgat, Brandon Smart, Shuai Chen, Xinghui Li, Jian Ding, Jindong Gu, Dave Zhenyu Chen, Songyou Peng, Jia-Wang Bian, Philip H. S. Torr, Marc Pollefeys, Matthias Nießner, Ian D. Reid, Angel X. Chang, Iro Laina, Victor Adrian Prisacariu

CoRR, 2024

Invisible Stitch: Generating Smooth 3D Scenes with Depth Inpainting.

Paul Engstler, Andrea Vedaldi, Iro Laina, Christian Rupprecht

CoRR, 2024

Training-Free Layout Control with Cross-Attention Guidance.

Minghao Chen, Iro Laina, Andrea Vedaldi

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 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

Proceedings of the Forty-first International Conference on Machine Learning, 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

Proceedings of the Computer Vision - ECCV 2024, 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

Proceedings of the Computer Vision - ECCV 2024, 2024

Diffusion Models for Open-Vocabulary Segmentation.

Laurynas Karazija, Iro Laina, Andrea Vedaldi, Christian Rupprecht

Proceedings of the Computer Vision - ECCV 2024, 2024

DGE: Direct Gaussian 3D Editing by Consistent Multi-view Editing.

Minghao Chen, Iro Laina, Andrea Vedaldi

Proceedings of the Computer Vision - ECCV 2024, 2024

N2F2: Hierarchical Scene Understanding with Nested Neural Feature Fields.

Yash Bhalgat, Iro Laina, João F. Henriques, Andrew Zisserman, Andrea Vedaldi

Proceedings of the Computer Vision - ECCV 2024, 2024

Shap-Editor: Instruction-guided Latent 3D Editing in Seconds.

Minghao Chen, Junyu Xie, Iro Laina, Andrea Vedaldi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Understanding Self-Supervised Features for Learning Unsupervised Instance Segmentation.

Paul Engstler, Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina

CoRR, 2023

Diffusion Models for Zero-Shot Open-Vocabulary Segmentation.

Laurynas Karazija, Iro Laina, Andrea Vedaldi, Christian Rupprecht

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion.

Yash Bhalgat, Iro Laina, João F. Henriques, Andrea Vedaldi, Andrew Zisserman

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

RealFusion 360° Reconstruction of Any Object from a Single Image.

Luke Melas-Kyriazi, Iro Laina, Christian Rupprecht, Andrea Vedaldi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Measuring the Interpretability of Unsupervised Representations via Quantized Reverse Probing.

Iro Laina, Yuki M. Asano, Andrea Vedaldi

CoRR, 2022

Unsupervised Multi-Object Segmentation by Predicting Probable Motion Patterns.

Laurynas Karazija, Subhabrata Choudhury, Iro Laina, Christian Rupprecht, Andrea Vedaldi

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Finding an Unsupervised Image Segmenter in each of your Deep Generative Models.

Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, Andrea Vedaldi

Proceedings of the Tenth International Conference on Learning Representations, 2022

Measuring the Interpretability of Unsupervised Representations via Quantized Reversed Probing.

Iro Laina, Yuki M. Asano, Andrea Vedaldi

Proceedings of the Tenth International Conference on Learning Representations, 2022

Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization.

Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, Andrea Vedaldi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Guess What Moves: Unsupervised Video and Image Segmentation by Anticipating Motion.

Subhabrata Choudhury, Laurynas Karazija, Iro Laina, Andrea Vedaldi, Christian Rupprecht

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Neural Feature Fusion Fields: 3D Distillation of Self-Supervised 2D Image Representations.

Vadim Tschernezki, Iro Laina, Diane Larlus, Andrea Vedaldi

Proceedings of the International Conference on 3D Vision, 2022

2021

ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation.

Laurynas Karazija, Iro Laina, Christian Rupprecht

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Unsupervised Part Discovery from Contrastive Reconstruction.

Subhabrata Choudhury, Iro Laina, Christian Rupprecht, Andrea Vedaldi

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Semantik, Sprache und Geometrie: Szenenverständnis lernen.

Iro Laina

Proceedings of the Ausgezeichnete Informatikdissertationen 2020., 2020

Semantics, Language and Geometry: Learning to Understand the Scene.

Iro Laina

PhD thesis, 2020

Quantifying Learnability and Describability of Visual Concepts Emerging in Representation Learning.

Iro Laina, Ruth Fong, Andrea Vedaldi

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Semantic Image Manipulation Using Scene Graphs.

Helisa Dhamo, Azade Farshad, Iro Laina, Nassir Navab, Gregory D. Hager, Federico Tombari, Christian Rupprecht

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Peeking behind objects: Layered depth prediction from a single image.

Helisa Dhamo, Keisuke Tateno, Iro Laina, Nassir Navab, Federico Tombari

Pattern Recognit. Lett., 2019

2017 Robotic Instrument Segmentation Challenge.

Max Allan, Alexey Shvets, Thomas Kurmann, Zichen Zhang, Rahul Duggal, Yun-Hsuan Su, Nicola Rieke, Iro Laina, Niveditha Kalavakonda, Sebastian Bodenstedt, Luis C. García-Peraza, Wenqi Li, Vladimir Iglovikov, Huoling Luo, Jian Yang, Danail Stoyanov, Lena Maier-Hein, Stefanie Speidel, Mahdi Azizian

CoRR, 2019

Towards Unsupervised Image Captioning With Shared Multimodal Embeddings.

Iro Laina, Christian Rupprecht, Nassir Navab

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Guide Me: Interacting With Deep Networks.

Christian Rupprecht, Iro Laina, Nassir Navab, Gregory D. Hager, Federico Tombari

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Dealing with Ambiguity in Robotic Grasping via Multiple Predictions.

Ghazal Ghazaei, Iro Laina, Christian Rupprecht, Federico Tombari, Nassir Navab, Kianoush Nazarpour

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

Concurrent Segmentation and Localization for Tracking of Surgical Instruments.

Iro Laina, Nicola Rieke, Christian Rupprecht, Josué Page Vizcaíno, Abouzar Eslami, Federico Tombari, Nassir Navab

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses.

Christian Rupprecht, Iro Laina, Robert S. DiPietro, Maximilian Baust

Proceedings of the IEEE International Conference on Computer Vision, 2017

CNN-SLAM: Real-Time Dense Monocular SLAM with Learned Depth Prediction.

Keisuke Tateno, Federico Tombari, Iro Laina, Nassir Navab

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses.

Christian Rupprecht, Iro Laina, Maximilian Baust, Federico Tombari, Gregory D. Hager, Nassir Navab

CoRR, 2016

Deeper Depth Prediction with Fully Convolutional Residual Networks.

Iro Laina, Christian Rupprecht, Vasileios Belagiannis, Federico Tombari, Nassir Navab

Proceedings of the Fourth International Conference on 3D Vision, 2016