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2020 – today
- 2024
[j2]Subhabrata Choudhury
, Iro Laina, Christian Rupprecht, Andrea Vedaldi:
The Curious Layperson: Fine-Grained Image Recognition Without Expert Labels. Int. J. Comput. Vis. 132(2): 537-554 (2024)- [c25]Minghao Chen, Junyu Xie, Iro Laina, Andrea Vedaldi:
Shap-Editor: Instruction-guided Latent 3D Editing in Seconds. CVPR 2024: 26446-26456 - [c24]Laurynas Karazija, Iro Laina, Andrea Vedaldi, Christian Rupprecht:
Diffusion Models for Open-Vocabulary Segmentation. ECCV (5) 2024: 299-317 - [c23]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. ICML 2024 - [c22]Minghao Chen, Iro Laina, Andrea Vedaldi:
Training-Free Layout Control with Cross-Attention Guidance. WACV 2024: 5331-5341 - [i36]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 abs/2402.08682 (2024) - [i35]Yash Bhalgat, Iro Laina, João F. Henriques, Andrew Zisserman, Andrea Vedaldi:
N2F2: Hierarchical Scene Understanding with Nested Neural Feature Fields. CoRR abs/2403.10997 (2024) - [i34]Minghao Chen, Iro Laina, Andrea Vedaldi:
DGE: Direct Gaussian 3D Editing by Consistent Multi-view Editing. CoRR abs/2404.18929 (2024) - [i33]Paul Engstler, Andrea Vedaldi, Iro Laina, Christian Rupprecht:
Invisible Stitch: Generating Smooth 3D Scenes with Depth Inpainting. CoRR abs/2404.19758 (2024) - [i32]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 abs/2405.10255 (2024) - [i31]Ryo Nakamura, Ryu Tadokoro, Ryosuke Yamada, Yuki M. Asano, Iro Laina, Christian Rupprecht, Nakamasa Inoue, Rio Yokota, Hirokatsu Kataoka:
Scaling Backwards: Minimal Synthetic Pre-training? CoRR abs/2408.00677 (2024) - [i30]Yash Bhalgat, Vadim Tschernezki, Iro Laina, João F. Henriques, Andrea Vedaldi, Andrew Zisserman:
3D-Aware Instance Segmentation and Tracking in Egocentric Videos. CoRR abs/2408.09860 (2024) - [i29]Brandon Smart, Chuanxia Zheng, Iro Laina, Victor Adrian Prisacariu:
Splatt3R: Zero-shot Gaussian Splatting from Uncalibrated Image Pairs. CoRR abs/2408.13912 (2024) - [i28]Go Ohtani, Ryu Tadokoro, Ryosuke Yamada, Yuki M. Asano, Iro Laina, Christian Rupprecht, Nakamasa Inoue, Rio Yokota, Hirokatsu Kataoka, Yoshimitsu Aoki:
Rethinking Image Super-Resolution from Training Data Perspectives. CoRR abs/2409.00768 (2024) - 2023
- [c21]Luke Melas-Kyriazi, Iro Laina, Christian Rupprecht, Andrea Vedaldi:
RealFusion 360° Reconstruction of Any Object from a Single Image. CVPR 2023: 8446-8455 - [c20]Yash Bhalgat, Iro Laina, João F. Henriques, Andrea Vedaldi, Andrew Zisserman:
Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion. NeurIPS 2023 - [c19]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 - [i27]Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, Andrea Vedaldi:
RealFusion: 360° Reconstruction of Any Object from a Single Image. CoRR abs/2302.10663 (2023) - [i26]Minghao Chen, Iro Laina, Andrea Vedaldi:
Training-Free Layout Control with Cross-Attention Guidance. CoRR abs/2304.03373 (2023) - [i25]Yash Bhalgat, Iro Laina, João F. Henriques, Andrew Zisserman, Andrea Vedaldi:
Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion. CoRR abs/2306.04633 (2023) - [i24]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 abs/2306.08731 (2023) - [i23]Laurynas Karazija, Iro Laina, Andrea Vedaldi, Christian Rupprecht:
Diffusion Models for Zero-Shot Open-Vocabulary Segmentation. CoRR abs/2306.09316 (2023) - [i22]Paul Engstler, Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina:
Understanding Self-Supervised Features for Learning Unsupervised Instance Segmentation. CoRR abs/2311.14665 (2023) - [i21]Minghao Chen, Junyu Xie, Iro Laina, Andrea Vedaldi:
SHAP-EDITOR: Instruction-guided Latent 3D Editing in Seconds. CoRR abs/2312.09246 (2023) - 2022
- [c18]Vadim Tschernezki, Iro Laina, Diane Larlus, Andrea Vedaldi:
Neural Feature Fusion Fields: 3D Distillation of Self-Supervised 2D Image Representations. 3DV 2022: 443-453 - [c17]Subhabrata Choudhury, Laurynas Karazija, Iro Laina, Andrea Vedaldi, Christian Rupprecht:
Guess What Moves: Unsupervised Video and Image Segmentation by Anticipating Motion. BMVC 2022: 554 - [c16]Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, Andrea Vedaldi:
Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization. CVPR 2022: 8354-8365 - [c15]Iro Laina, Yuki M. Asano, Andrea Vedaldi:
Measuring the Interpretability of Unsupervised Representations via Quantized Reversed Probing. ICLR 2022 - [c14]Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, Andrea Vedaldi:
Finding an Unsupervised Image Segmenter in each of your Deep Generative Models. ICLR 2022 - [c13]Laurynas Karazija, Subhabrata Choudhury, Iro Laina, Christian Rupprecht, Andrea Vedaldi:
Unsupervised Multi-Object Segmentation by Predicting Probable Motion Patterns. NeurIPS 2022 - [i20]Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, Andrea Vedaldi:
Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization. CoRR abs/2205.07839 (2022) - [i19]Subhabrata Choudhury, Laurynas Karazija, Iro Laina, Andrea Vedaldi, Christian Rupprecht:
Guess What Moves: Unsupervised Video and Image Segmentation by Anticipating Motion. CoRR abs/2205.07844 (2022) - [i18]Iro Laina, Yuki M. Asano, Andrea Vedaldi:
Measuring the Interpretability of Unsupervised Representations via Quantized Reverse Probing. CoRR abs/2209.03268 (2022) - [i17]Vadim Tschernezki, Iro Laina, Diane Larlus, Andrea Vedaldi:
Neural Feature Fusion Fields: 3D Distillation of Self-Supervised 2D Image Representations. CoRR abs/2209.03494 (2022) - [i16]Laurynas Karazija, Subhabrata Choudhury, Iro Laina, Christian Rupprecht, Andrea Vedaldi:
Unsupervised Multi-object Segmentation by Predicting Probable Motion Patterns. CoRR abs/2210.12148 (2022) - 2021
- [c12]Subhabrata Choudhury, Iro Laina, Christian Rupprecht, Andrea Vedaldi:
The Curious Layperson: Fine-Grained Image Recognition without Expert Labels. BMVC 2021: 117 - [c11]Subhabrata Choudhury, Iro Laina, Christian Rupprecht, Andrea Vedaldi:
Unsupervised Part Discovery from Contrastive Reconstruction. NeurIPS 2021: 28104-28118 - [c10]Laurynas Karazija, Iro Laina, Christian Rupprecht:
ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation. NeurIPS Datasets and Benchmarks 2021 - [i15]Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, Andrea Vedaldi:
Finding an Unsupervised Image Segmenter in Each of Your Deep Generative Models. CoRR abs/2105.08127 (2021) - [i14]Subhabrata Choudhury, Iro Laina, Christian Rupprecht, Andrea Vedaldi:
The Curious Layperson: Fine-Grained Image Recognition without Expert Labels. CoRR abs/2111.03651 (2021) - [i13]Subhabrata Choudhury, Iro Laina, Christian Rupprecht, Andrea Vedaldi:
Unsupervised Part Discovery from Contrastive Reconstruction. CoRR abs/2111.06349 (2021) - [i12]Laurynas Karazija, Iro Laina, Christian Rupprecht:
ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation. CoRR abs/2111.10265 (2021) - 2020
- [b1]Iro Laina:
Semantics, Language and Geometry: Learning to Understand the Scene. Technical University of Munich, Germany, 2020 - [c9]Helisa Dhamo, Azade Farshad, Iro Laina, Nassir Navab, Gregory D. Hager, Federico Tombari, Christian Rupprecht:
Semantic Image Manipulation Using Scene Graphs. CVPR 2020: 5212-5221 - [c8]Iro Laina, Ruth Fong, Andrea Vedaldi:
Quantifying Learnability and Describability of Visual Concepts Emerging in Representation Learning. NeurIPS 2020 - [p1]Iro Laina:
Semantik, Sprache und Geometrie: Szenenverständnis lernen. Ausgezeichnete Informatikdissertationen 2020: 209-218 - [i11]Helisa Dhamo, Azade Farshad, Iro Laina, Nassir Navab, Gregory D. Hager, Federico Tombari, Christian Rupprecht:
Semantic Image Manipulation Using Scene Graphs. CoRR abs/2004.03677 (2020) - [i10]Iro Laina, Ruth C. Fong, Andrea Vedaldi:
Quantifying Learnability and Describability of Visual Concepts Emerging in Representation Learning. CoRR abs/2010.14551 (2020)
2010 – 2019
- 2019
- [j1]Helisa Dhamo, Keisuke Tateno, Iro Laina, Nassir Navab, Federico Tombari:
Peeking behind objects: Layered depth prediction from a single image. Pattern Recognit. Lett. 125: 333-340 (2019) - [c7]Iro Laina, Christian Rupprecht, Nassir Navab:
Towards Unsupervised Image Captioning With Shared Multimodal Embeddings. ICCV 2019: 7413-7423 - [i9]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 abs/1902.06426 (2019) - [i8]Iro Laina, Christian Rupprecht, Nassir Navab:
Towards Unsupervised Image Captioning with Shared Multimodal Embeddings. CoRR abs/1908.09317 (2019) - 2018
- [c6]Ghazal Ghazaei, Iro Laina, Christian Rupprecht, Federico Tombari, Nassir Navab, Kianoush Nazarpour:
Dealing with Ambiguity in Robotic Grasping via Multiple Predictions. ACCV (4) 2018: 38-55 - [c5]Christian Rupprecht, Iro Laina, Nassir Navab, Gregory D. Hager, Federico Tombari:
Guide Me: Interacting With Deep Networks. CVPR 2018: 8551-8561 - [i7]Christian Rupprecht, Iro Laina, Nassir Navab, Gregory D. Hager, Federico Tombari:
Guide Me: Interacting with Deep Networks. CoRR abs/1803.11544 (2018) - [i6]Helisa Dhamo, Keisuke Tateno, Iro Laina, Nassir Navab, Federico Tombari:
Peeking Behind Objects: Layered Depth Prediction from a Single Image. CoRR abs/1807.08776 (2018) - [i5]Ghazal Ghazaei, Iro Laina, Christian Rupprecht, Federico Tombari, Nassir Navab, Kianoush Nazarpour:
Dealing with Ambiguity in Robotic Grasping via Multiple Predictions. CoRR abs/1811.00793 (2018) - 2017
- [c4]Keisuke Tateno, Federico Tombari, Iro Laina, Nassir Navab:
CNN-SLAM: Real-Time Dense Monocular SLAM with Learned Depth Prediction. CVPR 2017: 6565-6574 - [c3]Christian Rupprecht, Iro Laina, Robert S. DiPietro, Maximilian Baust:
Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses. ICCV 2017: 3611-3620 - [c2]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: 664-672 - [i4]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 abs/1703.10701 (2017) - [i3]Keisuke Tateno, Federico Tombari, Iro Laina, Nassir Navab:
CNN-SLAM: Real-time dense monocular SLAM with learned depth prediction. CoRR abs/1704.03489 (2017) - 2016
- [c1]Iro Laina, Christian Rupprecht, Vasileios Belagiannis, Federico Tombari, Nassir Navab:
Deeper Depth Prediction with Fully Convolutional Residual Networks. 3DV 2016: 239-248 - [i2]Iro Laina, Christian Rupprecht, Vasileios Belagiannis, Federico Tombari, Nassir Navab:
Deeper Depth Prediction with Fully Convolutional Residual Networks. CoRR abs/1606.00373 (2016) - [i1]Christian Rupprecht, Iro Laina, Maximilian Baust, Federico Tombari, Gregory D. Hager, Nassir Navab:
Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses. CoRR abs/1612.00197 (2016)
Coauthor Index
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