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Jan-Nico Zaech
Jan-Nico Zaech
Verified email at vision.ee.ethz.ch - Homepage
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Cited by
Cited by
Year
Deepdrr–a catalyst for machine learning in fluoroscopy-guided procedures
M Unberath*, JN Zaech*, SC Lee, B Bier, J Fotouhi, M Armand, N Navab
International Conference on Medical Image Computing and Computer-Assisted …, 2018
130*2018
X-ray-transform invariant anatomical landmark detection for pelvic trauma surgery
B Bier*, M Unberath*, JN Zaech, J Fotouhi, M Armand, G Osgood, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2018
1182018
Semantic understanding of foggy scenes with purely synthetic data
M Hahner, D Dai, C Sakaridis, JN Zaech, L Van Gool
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 3675-3681, 2019
662019
Learnable online graph representations for 3d multi-object tracking
JN Zaech, A Liniger, D Dai, M Danelljan, L Van Gool
IEEE Robotics and Automation Letters 7 (2), 5103-5110, 2022
612022
Enabling machine learning in X-ray-based procedures via realistic simulation of image formation
M Unberath*, JN Zaech*, C Gao*, B Bier, F Goldmann, SC Lee, J Fotouhi, ...
International journal of computer assisted radiology and surgery, 1-12, 2019
532019
Learning to detect anatomical landmarks of the pelvis in X-rays from arbitrary views
B Bier, F Goldmann, JN Zaech, J Fotouhi, R Hegeman, R Grupp, ...
International journal of computer assisted radiology and surgery 14, 1463-1473, 2019
412019
A learning-based method for online adjustment of C-arm Cone-beam CT source trajectories for artifact avoidance
M Thies*, JN Zäch*, C Gao, R Taylor, N Navab, A Maier, M Unberath
International Journal of Computer Assisted Radiology and Surgery, 1-10, 2020
352020
Unsupervised robust domain adaptation without source data
P Agarwal, DP Paudel, JN Zaech, L Van Gool
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022
342022
Learning to avoid poor images: Towards task-aware C-arm cone-beam CT trajectories
JN Zaech, C Gao, B Bier, R Taylor, A Maier, N Navab, M Unberath
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
312019
Adiabatic quantum computing for multi object tracking
JN Zaech, A Liniger, M Danelljan, D Dai, L Van Gool
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
262022
Task-specific trajectory optimisation for twin-robotic x-ray tomography
G Herl, J Hiller, M Thies, JN Zaech, M Unberath, A Maier
IEEE Transactions on computational imaging 7, 894-907, 2021
222021
Decoder fusion rnn: Context and interaction aware decoders for trajectory prediction
EM Rella, JN Zaech, A Liniger, L Van Gool
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
162021
Action sequence predictions of vehicles in urban environments using map and social context
JN Zaech, D Dai, A Liniger, L Van Gool
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
132020
Texture underfitting for domain adaptation
JN Zaech, D Dai, M Hahner, L Van Gool
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 547-552, 2019
112019
Approximate message passing for indoor THz channel estimation
V Schram, A Bereyhi, JN Zaech, RR Müller, WH Gerstacker
arXiv preprint arXiv:1907.05126, 2019
52019
Machine learning model to adjust C-arm cone-beam computed tomography device trajectories
M Unberath, J Zaech
US Patent 11,992,348, 2024
2024
Vision for Autonomous Systems: From Tracking and Prediction to Quantum Computing
JN Zaech
ETH Zurich, 2024
2024
Optimizing Long-Term Robot Tracking with Multi-Platform Sensor Fusion
G Albanese, A Mitra, JN Zaech, Y Zhao, A Chhatkuli, L Van Gool
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
2024
Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing
JN Zaech, M Danelljan, T Birdal, L Van Gool
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
2024
Multi-Domain Referee Dataset: Enabling Recognition of Referee Signals on Robotic Platforms
A Mitra, L Molnar, JN Zaech, Y Wu, S Heo, F Yu, L Van Gool
RoboLetics: Workshop on Robot Learning in Athletics@ CoRL 2023, 2023
2023
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