no code implementations • 1 Apr 2024 • Maximilian Weiherer, Andreea Dogaru, Shreya Kapoor, Hannah Schieber, Bernhard Egger
What a wonderful ride it is!
no code implementations • 25 Mar 2024 • Hannah Schieber, Shiyu Li, Niklas Corell, Philipp Beckerle, Julian Kreimeier, Daniel Roth
Existing work, combining object detection/6D pose estimation and assembly state detection focuses either on pure deep learning-based approaches, or limit the assembly state detection to building blocks.
1 code implementation • 12 Feb 2024 • Shiyu Li, Hannah Schieber, Niklas Corell, Bernhard Egger, Julian Kreimeier, Daniel Roth
Augmented reality assembly guidance requires 6D object poses of target objects in real time.
no code implementations • 16 Sep 2023 • Nicolas Schischka, Hannah Schieber, Mert Asim Karaoglu, Melih Görgülü, Florian Grötzner, Alexander Ladikos, Daniel Roth, Nassir Navab, Benjamin Busam
The accurate reconstruction of dynamic scenes with neural radiance fields is significantly dependent on the estimation of camera poses.
1 code implementation • 16 Mar 2023 • Hannah Schieber, Fabian Deuser, Bernhard Egger, Norbert Oswald, Daniel Roth
Current research on the joint optimization of camera parameters and NeRF focuses on refining noisy extrinsic camera parameters and often relies on the preprocessing of intrinsic camera parameters.
1 code implementation • 20 Dec 2022 • HyunJun Jung, Guangyao Zhai, Shun-Cheng Wu, Patrick Ruhkamp, Hannah Schieber, Giulia Rizzoli, Pengyuan Wang, Hongcheng Zhao, Lorenzo Garattoni, Sven Meier, Daniel Roth, Nassir Navab, Benjamin Busam
Estimating 6D object poses is a major challenge in 3D computer vision.
1 code implementation • 26 May 2022 • Hannah Schieber, Fabian Duerr, Torsten Schoen, Jürgen Beyerer
A novel Pyramid Fusion Backbone fuses these feature maps at different scales and combines the multimodal features in a feature pyramid to compute valuable multimodal, multi-scale features.