4 citations · 8 across the 4 of their papers we have counts for
10 papers
Adiabatic Quantum Computing for Multi Object Tracking
Jan-Nico Zaech, Alexander Liniger, Martin Danelljan +2
Multi-Object Tracking (MOT) is most often approached in the tracking-by-detection paradigm, where object detections are associated through time. The association step naturally lead…
Learnable Online Graph Representations for 3D Multi-Object Tracking
Jan-Nico Zaech, Dengxin Dai, Alexander Liniger +2
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. Most re…
Unsupervised Robust Domain Adaptation without Source Data
Peshal Agarwal, Danda Pani Paudel, Jan-Nico Zaech +1
We study the problem of robust domain adaptation in the context of unavailable target labels and source data. The considered robustness is against adversarial perturbations. This p…
Action Sequence Predictions of Vehicles in Urban Environments using Map and Social Context
Jan-Nico Zaech, Dengxin Dai, Alexander Liniger +1
This work studies the problem of predicting the sequence of future actions for surround vehicles in real-world driving scenarios. To this aim, we make three main contributions. The…
Semantic Understanding of Foggy Scenes with Purely Synthetic Data
Martin Hahner, Dengxin Dai, Christos Sakaridis +2
This work addresses the problem of semantic scene understanding under foggy road conditions. Although marked progress has been made in semantic scene understanding over the recent…
Learning to Avoid Poor Images: Towards Task-aware C-arm Cone-beam CT Trajectories
Jan-Nico Zaech, Cong Gao, Bastian Bier +4
Metal artifacts in computed tomography (CT) arise from a mismatch between physics of image formation and idealized assumptions during tomographic reconstruction. These artifacts ar…