Iro Laina

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 56

Top Topics

Diffusion Model

Object Segmentation

Motion Patterns

Top Venues

Publications

Paul Engstler, Andrea Vedaldi, Iro Laina, Christian Rupprecht
Invisible Stitch: Generating Smooth 3D Scenes with Depth Inpainting. CoRR (2024)
Yash Bhalgat, Iro Laina, João F. Henriques, Andrew Zisserman, Andrea Vedaldi
N2F2: Hierarchical Scene Understanding with Nested Neural Feature Fields. CoRR (2024)
Luke Melas-Kyriazi, Iro Laina, Christian Rupprecht, Natalia Neverova, Andrea Vedaldi, Oran Gafni, Filippos Kokkinos
IM-3D: Iterative Multiview Diffusion and Reconstruction for High-Quality 3D Generation. CoRR (2024)
Minghao Chen, Iro Laina, Andrea Vedaldi
DGE: Direct Gaussian 3D Editing by Consistent Multi-view Editing. CoRR (2024)
Minghao Chen, Iro Laina, Andrea Vedaldi
Training-Free Layout Control with Cross-Attention Guidance. WACV (2024)
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
When LLMs step into the 3D World: A Survey and Meta-Analysis of 3D Tasks via Multi-modal Large Language Models. CoRR (2024)
Subhabrata Choudhury, Iro Laina, Christian Rupprecht, Andrea Vedaldi
The Curious Layperson: Fine-Grained Image Recognition Without Expert Labels. Int. J. Comput. Vis. 132 (2) (2024)
Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, Andrea Vedaldi
RealFusion: 360° Reconstruction of Any Object from a Single Image. CoRR (2023)
Yash Bhalgat, Iro Laina, João F. Henriques, Andrea Vedaldi, Andrew Zisserman
Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion. NeurIPS (2023)
Vadim Tschernezki, Ahmad Darkhalil, Zhifan Zhu, David Fouhey, Iro Laina, Diane Larlus, Dima Damen, Andrea Vedaldi
EPIC Fields: Marrying 3D Geometry and Video Understanding. CoRR (2023)
Minghao Chen, Junyu Xie, Iro Laina, Andrea Vedaldi
SHAP-EDITOR: Instruction-guided Latent 3D Editing in Seconds. CoRR (2023)
Paul Engstler, Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina
Understanding Self-Supervised Features for Learning Unsupervised Instance Segmentation. CoRR (2023)
Luke Melas-Kyriazi, Iro Laina, Christian Rupprecht, Andrea Vedaldi
RealFusion 360° Reconstruction of Any Object from a Single Image. CVPR (2023)
Minghao Chen, Iro Laina, Andrea Vedaldi
Training-Free Layout Control with Cross-Attention Guidance. CoRR (2023)
Vadim Tschernezki, Ahmad Darkhalil, Zhifan Zhu, David Fouhey, Iro Laina, Diane Larlus, Dima Damen, Andrea Vedaldi
EPIC Fields: Marrying 3D Geometry and Video Understanding. NeurIPS (2023)
Yash Bhalgat, Iro Laina, João F. Henriques, Andrew Zisserman, Andrea Vedaldi
Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion. CoRR (2023)
Laurynas Karazija, Iro Laina, Andrea Vedaldi, Christian Rupprecht
Diffusion Models for Zero-Shot Open-Vocabulary Segmentation. CoRR (2023)
Iro Laina, Yuki M. Asano, Andrea Vedaldi
Measuring the Interpretability of Unsupervised Representations via Quantized Reverse Probing. CoRR (2022)
Laurynas Karazija, Subhabrata Choudhury, Iro Laina, Christian Rupprecht, Andrea Vedaldi
Unsupervised Multi-Object Segmentation by Predicting Probable Motion Patterns. NeurIPS (2022)
Laurynas Karazija, Subhabrata Choudhury, Iro Laina, Christian Rupprecht, Andrea Vedaldi
Unsupervised Multi-object Segmentation by Predicting Probable Motion Patterns. CoRR (2022)
Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, Andrea Vedaldi
Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization. CVPR (2022)
Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, Andrea Vedaldi
Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization. CoRR (2022)
Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, Andrea Vedaldi
Finding an Unsupervised Image Segmenter in each of your Deep Generative Models. ICLR (2022)
Iro Laina, Yuki M. Asano, Andrea Vedaldi
Measuring the Interpretability of Unsupervised Representations via Quantized Reversed Probing. ICLR (2022)
Subhabrata Choudhury, Laurynas Karazija, Iro Laina, Andrea Vedaldi, Christian Rupprecht
Guess What Moves: Unsupervised Video and Image Segmentation by Anticipating Motion. BMVC (2022)
Subhabrata Choudhury, Laurynas Karazija, Iro Laina, Andrea Vedaldi, Christian Rupprecht
Guess What Moves: Unsupervised Video and Image Segmentation by Anticipating Motion. CoRR (2022)
Vadim Tschernezki, Iro Laina, Diane Larlus, Andrea Vedaldi
Neural Feature Fusion Fields: 3D Distillation of Self-Supervised 2D Image Representations. CoRR (2022)
Vadim Tschernezki, Iro Laina, Diane Larlus, Andrea Vedaldi
Neural Feature Fusion Fields: 3D Distillation of Self-Supervised 2D Image Representations. 3DV (2022)
Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, Andrea Vedaldi
Finding an Unsupervised Image Segmenter in Each of Your Deep Generative Models. CoRR (2021)
Laurynas Karazija, Iro Laina, Christian Rupprecht
ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation. CoRR (2021)
Laurynas Karazija, Iro Laina, Christian Rupprecht
ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation. NeurIPS Datasets and Benchmarks (2021)
Subhabrata Choudhury, Iro Laina, Christian Rupprecht, Andrea Vedaldi
Unsupervised Part Discovery from Contrastive Reconstruction. CoRR (2021)
Subhabrata Choudhury, Iro Laina, Christian Rupprecht, Andrea Vedaldi
Unsupervised Part Discovery from Contrastive Reconstruction. NeurIPS (2021)
Subhabrata Choudhury, Iro Laina, Christian Rupprecht, Andrea Vedaldi
The Curious Layperson: Fine-Grained Image Recognition without Expert Labels. CoRR (2021)
Subhabrata Choudhury, Iro Laina, Christian Rupprecht, Andrea Vedaldi
The Curious Layperson: Fine-Grained Image Recognition without Expert Labels. BMVC (2021)
Helisa Dhamo, Azade Farshad, Iro Laina, Nassir Navab, Gregory D. Hager, Federico Tombari, Christian Rupprecht
Semantic Image Manipulation Using Scene Graphs. CoRR (2020)
Helisa Dhamo, Azade Farshad, Iro Laina, Nassir Navab, Gregory D. Hager, Federico Tombari, Christian Rupprecht
Semantic Image Manipulation Using Scene Graphs. CVPR (2020)
Iro Laina, Ruth Fong, Andrea Vedaldi
Quantifying Learnability and Describability of Visual Concepts Emerging in Representation Learning. NeurIPS (2020)
Iro Laina, Ruth C. Fong, Andrea Vedaldi
Quantifying Learnability and Describability of Visual Concepts Emerging in Representation Learning. CoRR (2020)
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
2017 Robotic Instrument Segmentation Challenge. CoRR (2019)
Iro Laina, Christian Rupprecht, Nassir Navab
Towards Unsupervised Image Captioning with Shared Multimodal Embeddings. CoRR (2019)
Iro Laina, Christian Rupprecht, Nassir Navab
Towards Unsupervised Image Captioning With Shared Multimodal Embeddings. ICCV (2019)
Helisa Dhamo, Keisuke Tateno, Iro Laina, Nassir Navab, Federico Tombari
Peeking behind objects: Layered depth prediction from a single image. Pattern Recognit. Lett. 125 (2019)
Christian Rupprecht, Iro Laina, Nassir Navab, Gregory D. Hager, Federico Tombari
Guide Me: Interacting With Deep Networks. CVPR (2018)
Helisa Dhamo, Keisuke Tateno, Iro Laina, Nassir Navab, Federico Tombari
Peeking Behind Objects: Layered Depth Prediction from a Single Image. CoRR (2018)
Ghazal Ghazaei, Iro Laina, Christian Rupprecht, Federico Tombari, Nassir Navab, Kianoush Nazarpour
Dealing with Ambiguity in Robotic Grasping via Multiple Predictions. CoRR (2018)
Christian Rupprecht, Iro Laina, Nassir Navab, Gregory D. Hager, Federico Tombari
Guide Me: Interacting with Deep Networks. CoRR (2018)
Ghazal Ghazaei, Iro Laina, Christian Rupprecht, Federico Tombari, Nassir Navab, Kianoush Nazarpour
Dealing with Ambiguity in Robotic Grasping via Multiple Predictions. ACCV (4) (2018)
Iro Laina, Nicola Rieke, Christian Rupprecht, Josué Page Vizcaíno, Abouzar Eslami, Federico Tombari, Nassir Navab
Concurrent Segmentation and Localization for Tracking of Surgical Instruments. CoRR (2017)
Keisuke Tateno, Federico Tombari, Iro Laina, Nassir Navab
CNN-SLAM: Real-Time Dense Monocular SLAM with Learned Depth Prediction. CVPR (2017)
Keisuke Tateno, Federico Tombari, Iro Laina, Nassir Navab
CNN-SLAM: Real-time dense monocular SLAM with learned depth prediction. CoRR (2017)
Christian Rupprecht, Iro Laina, Robert S. DiPietro, Maximilian Baust
Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses. ICCV (2017)
Iro Laina, Nicola Rieke, Christian Rupprecht, Josué Page Vizcaíno, Abouzar Eslami, Federico Tombari, Nassir Navab
Concurrent Segmentation and Localization for Tracking of Surgical Instruments. MICCAI (2) (2017)
Christian Rupprecht, Iro Laina, Maximilian Baust, Federico Tombari, Gregory D. Hager, Nassir Navab
Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses. CoRR (2016)
Iro Laina, Christian Rupprecht, Vasileios Belagiannis, Federico Tombari, Nassir Navab
Deeper Depth Prediction with Fully Convolutional Residual Networks. 3DV (2016)
Iro Laina, Christian Rupprecht, Vasileios Belagiannis, Federico Tombari, Nassir Navab
Deeper Depth Prediction with Fully Convolutional Residual Networks. CoRR (2016)