Nikolas Brasch

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 17

Top Topics

Highly Dynamic Environments

Depth Estimation

Top Venues

IEEE Robotics Autom. Lett.

Publications

Issa Mouawad, Nikolas Brasch, Fabian Manhardt, Federico Tombari, Francesca Odone
View-to-Label: Multi-View Consistency for Self-Supervised 3D Object Detection. CoRR (2023)
HyunJun Jung, Patrick Ruhkamp, Guangyao Zhai, Nikolas Brasch, Yitong Li, Yannick Verdie, Jifei Song, Yiren Zhou, Anil Armagan, Slobodan Ilic, Ales Leonardis, Nassir Navab, Benjamin Busam
On the Importance of Accurate Geometry Data for Dense 3D Vision Tasks. CoRR (2023)
HyunJun Jung, Patrick Ruhkamp, Guangyao Zhai, Nikolas Brasch, Yitong Li, Yannick Verdie, Jifei Song, Yiren Zhou, Anil Armagan, Slobodan Ilic, Ales Leonardis, Nassir Navab, Benjamin Busam
On the Importance of Accurate Geometry Data for Dense 3D Vision Tasks. CVPR (2023)
HyunJun Jung, Nikolas Brasch, Jifei Song, Eduardo Pérez-Pellitero, Yiren Zhou, Zhihao Li, Nassir Navab, Benjamin Busam
Deformable 3D Gaussian Splatting for Animatable Human Avatars. CoRR (2023)
HyunJun Jung, Patrick Ruhkamp, Guangyao Zhai, Nikolas Brasch, Yitong Li, Yannick Verdie, Jifei Song, Yiren Zhou, Anil Armagan, Slobodan Ilic, Ales Leonardis, Benjamin Busam
Is my Depth Ground-Truth Good Enough? HAMMER - Highly Accurate Multi-Modal Dataset for DEnse 3D Scene Regression. CoRR (2022)
Issa Mouawad, Nikolas Brasch, Fabian Manhardt, Federico Tombari, Francesca Odone
Time-to-Label: Temporal Consistency for Self-Supervised Monocular 3D Object Detection. IEEE Robotics Autom. Lett. 7 (4) (2022)
Issa Mouawad, Nikolas Brasch, Fabian Manhardt, Federico Tombari, Francesca Odone
Time-to-Label: Temporal Consistency for Self-Supervised Monocular 3D Object Detection. CoRR (2022)
Mert Asim Karaoglu, Nikolas Brasch, Marijn F. Stollenga, Wolfgang Wein, Nassir Navab, Federico Tombari, Alexander Ladikos
Adversarial Domain Feature Adaptation for Bronchoscopic Depth Estimation. MICCAI (4) (2021)
HyunJun Jung, Nikolas Brasch, Ales Leonardis, Nassir Navab, Benjamin Busam
Wild ToFu: Improving Range and Quality of Indirect Time-of-Flight Depth with RGB Fusion in Challenging Environments. 3DV (2021)
Hyun Jun Jung, Nikolas Brasch, Ales Leonardis, Nassir Navab, Benjamin Busam
Wild ToFu: Improving Range and Quality of Indirect Time-of-Flight Depth with RGB Fusion in Challenging Environments. CoRR (2021)
Mert Asim Karaoglu, Nikolas Brasch, Marijn F. Stollenga, Wolfgang Wein, Nassir Navab, Federico Tombari, Alexander Ladikos
Adversarial Domain Feature Adaptation for Bronchoscopic Depth Estimation. CoRR (2021)
Yanyan Li, Raza Yunus, Nikolas Brasch, Nassir Navab, Federico Tombari
RGB-D SLAM with Structural Regularities. ICRA (2021)
Yanyan Li, Nikolas Brasch, Yida Wang, Nassir Navab, Federico Tombari
Structure-SLAM: Low-Drift Monocular SLAM in Indoor Environments. IEEE Robotics Autom. Lett. 5 (4) (2020)
Yanyan Li, Raza Yunus, Nikolas Brasch, Nassir Navab, Federico Tombari
RGB-D SLAM with Structural Regularities. CoRR (2020)
Yanyan Li, Nikolas Brasch, Yida Wang, Nassir Navab, Federico Tombari
Structure-SLAM: Low-Drift Monocular SLAM in Indoor Environments. CoRR (2020)
Nikolas Brasch, Aljaz Bozic, Joé Lallemand, Federico Tombari
Semantic Monocular SLAM for Highly Dynamic Environments. IROS (2018)
Oliver Wasenmüller, René Schuster, Didier Stricker, Karl Leiss, Jürger Pfister, Oleksandra Ganus, Julian Tatsch, Artem Savkin, Nikolas Brasch
Automated Scene Flow Data Generation for Training and Verification. CoRR (2018)