Deeper Depth Prediction with Fully Convolutional Residual Networks. - Iro Laina; Christian Rupprecht 001; Vasileios Belagiannis; Federico Tombari; Nassir Navab (3DV, 2016)

Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses. - Christian Rupprecht 001; Iro Laina; Maximilian Baust; Federico Tombari; Gregory D. Hager; Nassir Navab (CoRR, 2016)

CNN-SLAM: Real-Time Dense Monocular SLAM with Learned Depth Prediction. - Keisuke Tateno; Federico Tombari; Iro Laina; Nassir Navab (CVPR, 2017)

Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses. - Christian Rupprecht 001; Iro Laina; Robert S. DiPietro; Maximilian Baust (ICCV, 2017)

Concurrent Segmentation and Localization for Tracking of Surgical Instruments. - Iro Laina; Nicola Rieke; Christian Rupprecht 001; Josué Page Vizcaíno; Abouzar Eslami; Federico Tombari; Nassir Navab (MICCAI (2), 2017)

Dealing with Ambiguity in Robotic Grasping via Multiple Predictions. - Ghazal Ghazaei; Iro Laina; Christian Rupprecht 001; Federico Tombari; Nassir Navab; Kianoush Nazarpour (ACCV (4), 2018)

Guide Me: Interacting With Deep Networks. - Christian Rupprecht 001; Iro Laina; Nassir Navab; Gregory D. Hager; Federico Tombari (CVPR, 2018)

Towards Unsupervised Image Captioning With Shared Multimodal Embeddings. - Iro Laina; Christian Rupprecht 001; Nassir Navab (ICCV, 2019)

2017 Robotic Instrument Segmentation Challenge. - Max Allan; Alexey Shvets; Thomas Kurmann; Zichen Zhang 001; Rahul Duggal; Yun-Hsuan Su; Nicola Rieke; Iro Laina; Niveditha Kalavakonda; Sebastian Bodenstedt; Luis C. García-Peraza; Wenqi Li 001; et al. (CoRR, 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)

Semantic Image Manipulation Using Scene Graphs. - Helisa Dhamo; Azade Farshad; Iro Laina; Nassir Navab; Gregory D. Hager; Federico Tombari; Christian Rupprecht 001 (CVPR, 2020)

Quantifying Learnability and Describability of Visual Concepts Emerging in Representation Learning. - Iro Laina; Ruth Fong; Andrea Vedaldi (NeurIPS, 2020)

Semantics, Language and Geometry: Learning to Understand the Scene. - Iro Laina (2020)

Semantik, Sprache und Geometrie: Szenenverständnis lernen. - Iro Laina (Ausgezeichnete Informatikdissertationen, 2020)

Unsupervised Part Discovery from Contrastive Reconstruction. - Subhabrata Choudhury; Iro Laina; Christian Rupprecht 001; Andrea Vedaldi (NeurIPS, 2021)

ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation. - Laurynas Karazija; Iro Laina; Christian Rupprecht 001 (NeurIPS Datasets and Benchmarks, 2021)

Neural Feature Fusion Fields: 3D Distillation of Self-Supervised 2D Image Representations. - Vadim Tschernezki; Iro Laina; Diane Larlus; Andrea Vedaldi (3DV, 2022)

Guess What Moves: Unsupervised Video and Image Segmentation by Anticipating Motion. - Subhabrata Choudhury; Laurynas Karazija; Iro Laina; Andrea Vedaldi; Christian Rupprecht 001 (BMVC, 2022)

Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization. - Luke Melas-Kyriazi; Christian Rupprecht 001; Iro Laina; Andrea Vedaldi (CVPR, 2022)

Measuring the Interpretability of Unsupervised Representations via Quantized Reversed Probing. - Iro Laina; Yuki M. Asano; Andrea Vedaldi (ICLR, 2022)

Finding an Unsupervised Image Segmenter in each of your Deep Generative Models. - Luke Melas-Kyriazi; Christian Rupprecht 001; Iro Laina; Andrea Vedaldi (ICLR, 2022)

Unsupervised Multi-Object Segmentation by Predicting Probable Motion Patterns. - Laurynas Karazija; Subhabrata Choudhury; Iro Laina; Christian Rupprecht 001; Andrea Vedaldi (NeurIPS, 2022)

Measuring the Interpretability of Unsupervised Representations via Quantized Reverse Probing. - Iro Laina; Yuki M. Asano; Andrea Vedaldi (CoRR, 2022)

RealFusion 360° Reconstruction of Any Object from a Single Image. - Luke Melas-Kyriazi; Iro Laina; Christian Rupprecht 001; Andrea Vedaldi (CVPR, 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 001; David Fouhey; Iro Laina; Diane Larlus; Dima Damen; Andrea Vedaldi (NeurIPS, 2023)

Diffusion Models for Zero-Shot Open-Vocabulary Segmentation. - Laurynas Karazija; Iro Laina; Andrea Vedaldi; Christian Rupprecht 001 (CoRR, 2023)

Understanding Self-Supervised Features for Learning Unsupervised Instance Segmentation. - Paul Engstler; Luke Melas-Kyriazi; Christian Rupprecht 001; Iro Laina (CoRR, 2023)

3D-Aware Instance Segmentation and Tracking in Egocentric Videos. - Yash Bhalgat; Vadim Tschernezki; Iro Laina; João F. Henriques; Andrea Vedaldi; Andrew Zisserman (ACCV (3), 2024)

Shap-Editor: Instruction-guided Latent 3D Editing in Seconds. - Minghao Chen; Junyu Xie; Iro Laina; Andrea Vedaldi (CVPR, 2024)

N2F2: Hierarchical Scene Understanding with Nested Neural Feature Fields. - Yash Bhalgat; Iro Laina; João F. Henriques; Andrew Zisserman; Andrea Vedaldi (ECCV (59), 2024)

DGE: Direct Gaussian 3D Editing by Consistent Multi-view Editing. - Minghao Chen; Iro Laina; Andrea Vedaldi (ECCV (74), 2024)

Diffusion Models for Open-Vocabulary Segmentation. - Laurynas Karazija; Iro Laina; Andrea Vedaldi; Christian Rupprecht 001 (ECCV (5), 2024)

Scaling Backwards: Minimal Synthetic Pre-Training? - Ryo Nakamura; Ryu Tadokoro; Ryosuke Yamada; Yuki M. Asano; Iro Laina; Christian Rupprecht 001; Nakamasa Inoue; Rio Yokota; Hirokatsu Kataoka (ECCV (15), 2024)

Rethinking Image Super-Resolution from Training Data Perspectives. - Go Ohtani; Ryu Tadokoro; Ryosuke Yamada; Yuki M. Asano; Iro Laina; Christian Rupprecht 001; Nakamasa Inoue; Rio Yokota; Hirokatsu Kataoka; Yoshimitsu Aoki (ECCV (17), 2024)

IM-3D: Iterative Multiview Diffusion and Reconstruction for High-Quality 3D Generation. - Luke Melas-Kyriazi; Iro Laina; Christian Rupprecht 001; Natalia Neverova; Andrea Vedaldi; Oran Gafni; Filippos Kokkinos (ICML, 2024)

Learning Segmentation from Point Trajectories. - Laurynas Karazija; Iro Laina; Christian Rupprecht 001; Andrea Vedaldi (NeurIPS, 2024)

Training-Free Layout Control with Cross-Attention Guidance. - Minghao Chen; Iro Laina; Andrea Vedaldi (WACV, 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 001; Jindong Gu; Dave Zhenyu Chen; Songyou Peng; Jia-Wang Bian; Philip H. S. Torr; Marc Pollefeys; et al. (CoRR, 2024)

Splatt3R: Zero-shot Gaussian Splatting from Uncalibrated Image Pairs. - Brandon Smart; Chuanxia Zheng; Iro Laina; Victor Adrian Prisacariu (CoRR, 2024)

The Curious Layperson: Fine-Grained Image Recognition Without Expert Labels. - Subhabrata Choudhury; Iro Laina; Christian Rupprecht 001; Andrea Vedaldi (Int. J. Comput. Vis., 2024)

Invisible Stitch: Generating Smooth 3D Scenes with Depth Inpainting. - Paul Engstler; Andrea Vedaldi; Iro Laina; Christian Rupprecht 001 (3DV, 2025)

PartGen: Part-level 3D Generation and Reconstruction with Multi-view Diffusion Models. - Minghao Chen; Roman Shapovalov; Iro Laina; Tom Monnier; Jianyuan Wang; David Novotný; 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)

SynCity: Training-Free Generation of 3D Worlds. - Paul Engstler; Aleksandar Shtedritski; Iro Laina; Christian Rupprecht 001; Andrea Vedaldi (CoRR, 2025)

Geo4D: Leveraging Video Generators for Geometric 4D Scene Reconstruction. - Zeren Jiang; Chuanxia Zheng; Iro Laina; Diane Larlus; Andrea Vedaldi (CoRR, 2025)

AutoPartGen: Autogressive 3D Part Generation and Discovery. - Minghao Chen; Jianyuan Wang; Roman Shapovalov; Tom Monnier; Hyunyoung Jung 003; Dilin Wang; Rakesh Ranjan; Iro Laina; Andrea Vedaldi (CoRR, 2025)

AnimalClue: Recognizing Animals by their Traces. - Risa Shinoda; Nakamasa Inoue; Iro Laina; Christian Rupprecht 001; Hirokatsu Kataoka (CoRR, 2025)