Jan-Nico Zaech

According to our database, Jan-Nico Zaech authored at least 21 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Vision for Autonomous Systems: From Tracking and Prediction to Quantum Computing.

Jan-Nico Zaech

PhD thesis, 2024

ReVLA: Reverting Visual Domain Limitation of Robotic Foundation Models.

Sombit Dey, Jan-Nico Zaech, Nikolay Nikolov, Luc Van Gool, Danda Pani Paudel

CoRR, 2024

Optimizing Long-Term Robot Tracking with Multi-Platform Sensor Fusion.

Giuliano Albanese, Arka Mitra, Jan-Nico Zaech, Yupeng Zhao, Ajad Chhatkuli, Luc Van Gool

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

One-Shot Sparse Neural Architecture Search for Resource-Constrained Devices.

Shenghui Song, Jan-Nico Zaech, Seonyeong Heo

Proceedings of the 30th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 2024

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

Jan-Nico Zaech, Martin Danelljan, Tolga Birdal, Luc Van Gool

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

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

Jan-Nico Zaech, Martin Danelljan, Luc Van Gool

CoRR, 2023

2022

Learnable Online Graph Representations for 3D Multi-Object Tracking.

Jan-Nico Zaech, Alexander Liniger, Dengxin Dai, Martin Danelljan, Luc Van Gool

IEEE Robotics Autom. Lett., 2022

Unsupervised Robust Domain Adaptation without Source Data.

Peshal Agarwal, Danda Pani Paudel, Jan-Nico Zaech, Luc Van Gool

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Adiabatic Quantum Computing for Multi Object Tracking.

Jan-Nico Zaech, Alexander Liniger, Martin Danelljan, Dengxin Dai, Luc Van Gool

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Task-Specific Trajectory Optimisation for Twin-Robotic X-Ray Tomography.

Gabriel Herl, Jochen Hiller, Mareike Thies, Jan-Nico Zaech, Mathias Unberath, Andreas K. Maier

IEEE Trans. Computational Imaging, 2021

Decoder Fusion RNN: Context and Interaction Aware Decoders for Trajectory Prediction.

Edoardo Mello Rella, Jan-Nico Zaech, Alexander Liniger, Luc Van Gool

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.

Mareike Thies, Jan-Nico Zäch, Cong Gao, Russell H. Taylor, Nassir Navab, Andreas Maier, Mathias Unberath

Int. J. Comput. Assist. Radiol. Surg., 2020

Action Sequence Predictions of Vehicles in Urban Environments using Map and Social Context.

Jan-Nico Zaech, Dengxin Dai, Alexander Liniger, Luc Van Gool

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Abstract: Learning to Avoid Poor Images.

Jan-Nico Zaech, Cong Gao, Bastian Bier, Russell H. Taylor, Andreas K. Maier, Nassir Navab, Mathias Unberath

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.

Mathias Unberath, Jan-Nico Zaech, Cong Gao, Bastian Bier, Florian Goldmann, Sing Chun Lee, Javad Fotouhi, Russell H. Taylor, Mehran Armand, Nassir Navab

Int. J. Comput. Assist. Radiol. Surg., 2019

Learning to detect anatomical landmarks of the pelvis in X-rays from arbitrary views.

Bastian Bier, Florian Goldmann, Jan-Nico Zaech, Javad Fotouhi, Rachel Hegeman, Robert B. Grupp, Mehran Armand, Greg Osgood, Nassir Navab, Andreas Maier, Mathias Unberath

Int. J. Comput. Assist. Radiol. Surg., 2019

Learning to Avoid Poor Images: Towards Task-aware C-arm Cone-beam CT Trajectories.

Jan-Nico Zaech, Cong Gao, Bastian Bier, Russell H. Taylor, Andreas K. Maier, Nassir Navab, Mathias Unberath

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Texture Underfitting for Domain Adaptation.

Jan-Nico Zaech, Dengxin Dai, Martin Hahner, Luc Van Gool

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Semantic Understanding of Foggy Scenes with Purely Synthetic Data.

Martin Hahner, Dengxin Dai, Christos Sakaridis, Jan-Nico Zaech, Luc Van Gool

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2018

DeepDRR - A Catalyst for Machine Learning in Fluoroscopy-Guided Procedures.

Mathias Unberath, Jan-Nico Zaech, Sing Chun Lee, Bastian Bier, Javad Fotouhi, Mehran Armand, Nassir Navab

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

X-ray-transform Invariant Anatomical Landmark Detection for Pelvic Trauma Surgery.

Bastian Bier, Mathias Unberath, Jan-Nico Zaech, Javad Fotouhi, Mehran Armand, Greg Osgood, Nassir Navab, Andreas K. Maier

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018