no code implementations • 18 Oct 2023 • Jan-Nico Zaech, Martin Danelljan, Tolga Birdal, Luc van Gool
Adiabatic quantum computing (AQC) is a promising approach for discrete and often NP-hard optimization problems.
no code implementations • CVPR 2022 • Jan-Nico Zaech, Alexander Liniger, Martin Danelljan, Dengxin Dai, Luc van Gool
Multi-Object Tracking (MOT) is most often approached in the tracking-by-detection paradigm, where object detections are associated through time.
no code implementations • 12 Aug 2021 • Edoardo Mello Rella, Jan-Nico Zaech, Alexander Liniger, Luc van Gool
Forecasting the future behavior of all traffic agents in the vicinity is a key task to achieve safe and reliable autonomous driving systems.
no code implementations • 23 Apr 2021 • Jan-Nico Zaech, Dengxin Dai, Alexander Liniger, Martin Danelljan, Luc van Gool
Tracking of objects in 3D is a fundamental task in computer vision that finds use in a wide range of applications such as autonomous driving, robotics or augmented reality.
no code implementations • 26 Mar 2021 • Peshal Agarwal, Danda Pani Paudel, Jan-Nico Zaech, Luc van Gool
This paper aims at answering the question of finding the right strategy to make the target model robust and accurate in the setting of unsupervised domain adaptation without source data.
no code implementations • 29 Apr 2020 • Jan-Nico Zaech, Dengxin Dai, Alexander Liniger, Luc van Gool
Our second contribution lies in applying the method to the well-known traffic agent tracking and prediction dataset Argoverse, resulting in 228, 000 action sequences.
2 code implementations • 9 Oct 2019 • Martin Hahner, Dengxin Dai, Christos Sakaridis, Jan-Nico Zaech, Luc van Gool
This work addresses the problem of semantic scene understanding under foggy road conditions.
no code implementations • 19 Sep 2019 • Jan-Nico Zaech, Cong Gao, Bastian Bier, Russell Taylor, Andreas Maier, Nassir Navab, Mathias Unberath
Metal artifacts in computed tomography (CT) arise from a mismatch between physics of image formation and idealized assumptions during tomographic reconstruction.
no code implementations • 29 Aug 2019 • Jan-Nico Zaech, Dengxin Dai, Martin Hahner, Luc van Gool
Comprehensive semantic segmentation is one of the key components for robust scene understanding and a requirement to enable autonomous driving.
2 code implementations • 22 Mar 2018 • Mathias Unberath, Jan-Nico Zaech, Sing Chun Lee, Bastian Bier, Javad Fotouhi, Mehran Armand, Nassir Navab
Machine learning-based approaches outperform competing methods in most disciplines relevant to diagnostic radiology.
2 code implementations • 22 Mar 2018 • Bastian Bier, Mathias Unberath, Jan-Nico Zaech, Javad Fotouhi, Mehran Armand, Greg Osgood, Nassir Navab, Andreas Maier
In this work, we present a method to automatically detect anatomical landmarks in X-ray images independent of the viewing direction.