Jan-Nico Zaech

Orcid: 0000-0003-2566-0841

According to our database1, Jan-Nico Zaech authored at least 17 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Optimizing Long-Term Robot Tracking with Multi-Platform Sensor Fusion.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing.
CoRR, 2023

2022
Learnable Online Graph Representations for 3D Multi-Object Tracking.
IEEE Robotics Autom. Lett., 2022

Unsupervised Robust Domain Adaptation without Source Data.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Adiabatic Quantum Computing for Multi Object Tracking.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Task-Specific Trajectory Optimisation for Twin-Robotic X-Ray Tomography.
IEEE Trans. Computational Imaging, 2021

Decoder Fusion RNN: Context and Interaction Aware Decoders for Trajectory Prediction.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020
A learning-based method for online adjustment of C-arm Cone-beam CT source trajectories for artifact avoidance.
Int. J. Comput. Assist. Radiol. Surg., 2020

Action Sequence Predictions of Vehicles in Urban Environments using Map and Social Context.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Abstract: Learning to Avoid Poor Images.
Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

2019
Enabling machine learning in X-ray-based procedures via realistic simulation of image formation.
Int. J. Comput. Assist. Radiol. Surg., 2019

Learning to detect anatomical landmarks of the pelvis in X-rays from arbitrary views.
Int. J. Comput. Assist. Radiol. Surg., 2019

Learning to Avoid Poor Images: Towards Task-aware C-arm Cone-beam CT Trajectories.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Texture Underfitting for Domain Adaptation.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Semantic Understanding of Foggy Scenes with Purely Synthetic Data.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2018
DeepDRR - A Catalyst for Machine Learning in Fluoroscopy-Guided Procedures.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

X-ray-transform Invariant Anatomical Landmark Detection for Pelvic Trauma Surgery.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018


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