Semantic Monocular SLAM for Highly Dynamic Environments. - Nikolas Brasch; Aljaz Bozic; Joé Lallemand; Federico Tombari (IROS, 2018)

Automated Scene Flow Data Generation for Training and Verification. - Oliver Wasenmüller; René Schuster; Didier Stricker; Karl Leiss; Jürger Pfister; Oleksandra Ganus; Julian Tatsch; Artem Savkin; Nikolas Brasch (CoRR, 2018)

Structure-SLAM: Low-Drift Monocular SLAM in Indoor Environments. - Yanyan Li 001; Nikolas Brasch; Yida Wang 001; Nassir Navab; Federico Tombari (IEEE Robotics Autom. Lett., 2020)

Wild ToFu: Improving Range and Quality of Indirect Time-of-Flight Depth with RGB Fusion in Challenging Environments. - HyunJun Jung; Nikolas Brasch; Ales Leonardis; Nassir Navab; Benjamin Busam (3DV, 2021)

RGB-D SLAM with Structural Regularities. - Yanyan Li 001; Raza Yunus; Nikolas Brasch; Nassir Navab; Federico Tombari (ICRA, 2021)

Adversarial Domain Feature Adaptation for Bronchoscopic Depth Estimation. - Mert Asim Karaoglu; Nikolas Brasch; Marijn F. Stollenga; Wolfgang Wein; Nassir Navab; Federico Tombari; Alexander Ladikos (MICCAI (4), 2021)

Is my Depth Ground-Truth Good Enough? HAMMER - Highly Accurate Multi-Modal Dataset for DEnse 3D Scene Regression. - HyunJun Jung; Patrick Ruhkamp; Guangyao Zhai; Nikolas Brasch; Yitong Li; Yannick Verdie; Jifei Song; Yiren Zhou; Anil Armagan; Slobodan Ilic; Ales Leonardis; Benjamin Busam (CoRR, 2022)

Time-to-Label: Temporal Consistency for Self-Supervised Monocular 3D Object Detection. - Issa Mouawad; Nikolas Brasch; Fabian Manhardt; Federico Tombari; Francesca Odone (IEEE Robotics Autom. Lett., 2022)

On the Importance of Accurate Geometry Data for Dense 3D Vision Tasks. - HyunJun Jung; Patrick Ruhkamp; Guangyao Zhai; Nikolas Brasch; Yitong Li; Yannick Verdie; Jifei Song; Yiren Zhou; Anil Armagan; Slobodan Ilic; Ales Leonardis; Nassir Navab; et al. (CVPR, 2023)

View-to-Label: Multi-View Consistency for Self-Supervised 3D Object Detection. - Issa Mouawad; Nikolas Brasch; Fabian Manhardt; Federico Tombari; Francesca Odone (CoRR, 2023)

Deformable 3D Gaussian Splatting for Animatable Human Avatars. - HyunJun Jung; Nikolas Brasch; Jifei Song; Eduardo Pérez-Pellitero; Yiren Zhou; Zhihao Li 002; Nassir Navab; Benjamin Busam (CoRR, 2023)

SCRREAM : SCan, Register, REnder And Map: A Framework for Annotating Accurate and Dense 3D Indoor Scenes with a Benchmark. - HyunJun Jung; Weihang Li; Shun-Cheng Wu; William Bittner; Nikolas Brasch; Jifei Song; Eduardo Pérez-Pellitero; Zhensong Zhang; Arthur Moreau; Nassir Navab; Benjamin Busam (NeurIPS, 2024)

SCRREAM : SCan, Register, REnder And Map:A Framework for Annotating Accurate and Dense 3D Indoor Scenes with a Benchmark. - HyunJun Jung; Weihang Li; Shun-Cheng Wu; William Bittner; Nikolas Brasch; Jifei Song; Eduardo Pérez-Pellitero; Zhensong Zhang; Arthur Moreau; Nassir Navab; Benjamin Busam (CoRR, 2024)

View-to-label: Multi-view consistency for self-supervised monocular 3D object detection. - Issa Mouawad; Nikolas Brasch; Fabian Manhardt; Federico Tombari; Francesca Odone (Comput. Vis. Image Underst., 2025)

MRUnion: Asymmetric Task-Aware 3D Mutual Scene Generation of Dissimilar Spaces for Mixed Reality Telepresence. - Michael Pabst; Linda Rudolph; Nikolas Brasch; Verena Biener; Chloe Eghtebas; Ulrich Eck; Dieter Schmalstieg; Gudrun Klinker (IEEE Trans. Vis. Comput. Graph., 2025)