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Jan-Nico Zaech
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2020 – today
- 2024
- [b1]Jan-Nico Zaech:
Vision for Autonomous Systems: From Tracking and Prediction to Quantum Computing. ETH Zurich, Zürich, Switzerland, 2024 - [c13]Jan-Nico Zaech, Martin Danelljan, Tolga Birdal, Luc Van Gool:
Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing. CVPR 2024: 26191-26201 - [c12]Shenghui Song, Jan-Nico Zaech, Seonyeong Heo:
One-Shot Sparse Neural Architecture Search for Resource-Constrained Devices. RTCSA 2024: 132-133 - [c11]Giuliano Albanese, Arka Mitra, Jan-Nico Zaech, Yupeng Zhao, Ajad Chhatkuli, Luc Van Gool:
Optimizing Long-Term Robot Tracking with Multi-Platform Sensor Fusion. WACV 2024: 6977-6987 - [i13]Sombit Dey, Jan-Nico Zaech, Nikolay Nikolov, Luc Van Gool, Danda Pani Paudel:
ReVLA: Reverting Visual Domain Limitation of Robotic Foundation Models. CoRR abs/2409.15250 (2024) - 2023
- [i12]Jan-Nico Zaech, Martin Danelljan, Luc Van Gool:
Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing. CoRR abs/2310.12153 (2023) - 2022
- [j5]Jan-Nico Zaech
, Alexander Liniger
Learnable Online Graph Representations for 3D Multi-Object Tracking. IEEE Robotics Autom. Lett. 7(2): 5103-5110 (2022) - [c10]Jan-Nico Zaech, Alexander Liniger, Martin Danelljan, Dengxin Dai, Luc Van Gool:
Adiabatic Quantum Computing for Multi Object Tracking. CVPR 2022: 8801-8812 - [c9]Peshal Agarwal, Danda Pani Paudel
Unsupervised Robust Domain Adaptation without Source Data. WACV 2022: 2805-2814 - [i11]Jan-Nico Zaech, Alexander Liniger, Martin Danelljan, Dengxin Dai, Luc Van Gool:
Adiabatic Quantum Computing for Multi Object Tracking. CoRR abs/2202.08837 (2022) - 2021
- [j4]Gabriel Herl
Task-Specific Trajectory Optimisation for Twin-Robotic X-Ray Tomography. IEEE Trans. Computational Imaging 7: 894-907 (2021) - [c8]Edoardo Mello Rella
Decoder Fusion RNN: Context and Interaction Aware Decoders for Trajectory Prediction. IROS 2021: 5937-5943 - [i10]Peshal Agarwal, Danda Pani Paudel, Jan-Nico Zaech, Luc Van Gool:
Unsupervised Robust Domain Adaptation without Source Data. CoRR abs/2103.14577 (2021) - [i9]Jan-Nico Zaech, Dengxin Dai, Alexander Liniger, Martin Danelljan, Luc Van Gool:
Learnable Online Graph Representations for 3D Multi-Object Tracking. CoRR abs/2104.11747 (2021) - [i8]Edoardo Mello Rella, Jan-Nico Zaech, Alexander Liniger, Luc Van Gool:
Decoder Fusion RNN: Context and Interaction Aware Decoders for Trajectory Prediction. CoRR abs/2108.05814 (2021) - 2020
- [j3]Mareike Thies
A learning-based method for online adjustment of C-arm Cone-beam CT source trajectories for artifact avoidance. Int. J. Comput. Assist. Radiol. Surg. 15(11): 1787-1796 (2020) - [c7]Jan-Nico Zaech, Cong Gao, Bastian Bier, Russell H. Taylor, Andreas K. Maier, Nassir Navab, Mathias Unberath
Abstract: Learning to Avoid Poor Images. Bildverarbeitung für die Medizin 2020: 185 - [c6]Jan-Nico Zaech, Dengxin Dai, Alexander Liniger, Luc Van Gool:
Action Sequence Predictions of Vehicles in Urban Environments using Map and Social Context. IROS 2020: 8982-8989 - [i7]Jan-Nico Zaech, Dengxin Dai, Alexander Liniger, Luc Van Gool:
Action Sequence Predictions of Vehicles in Urban Environments using Map and Social Context. CoRR abs/2004.14251 (2020) - [i6]Mareike Thies, Jan-Nico Zäch, Cong Gao, Russell H. Taylor, Nassir Navab, Andreas K. Maier, Mathias Unberath:
A Learning-based Method for Online Adjustment of C-arm Cone-Beam CT Source Trajectories for Artifact Avoidance. CoRR abs/2008.06262 (2020)
2010 – 2019
- 2019
- [j2]Bastian Bier, Florian Goldmann, Jan-Nico Zaech, Javad Fotouhi, Rachel Hegeman, Robert B. Grupp
Learning to detect anatomical landmarks of the pelvis in X-rays from arbitrary views. Int. J. Comput. Assist. Radiol. Surg. 14(9): 1463-1473 (2019) - [j1]Mathias Unberath
Enabling machine learning in X-ray-based procedures via realistic simulation of image formation. Int. J. Comput. Assist. Radiol. Surg. 14(9): 1517-1528 (2019) - [c5]Jan-Nico Zaech, Dengxin Dai, Martin Hahner, Luc Van Gool:
Texture Underfitting for Domain Adaptation. ITSC 2019: 547-552 - [c4]Martin Hahner, Dengxin Dai, Christos Sakaridis, Jan-Nico Zaech, Luc Van Gool:
Semantic Understanding of Foggy Scenes with Purely Synthetic Data. ITSC 2019: 3675-3681 - [c3]Jan-Nico Zaech, Cong Gao, Bastian Bier, Russell H. Taylor, Andreas K. Maier, Nassir Navab, Mathias Unberath
Learning to Avoid Poor Images: Towards Task-aware C-arm Cone-beam CT Trajectories. MICCAI (5) 2019: 11-19 - [i5]Jan-Nico Zaech, Dengxin Dai, Martin Hahner, Luc Van Gool:
Texture Underfitting for Domain Adaptation. CoRR abs/1908.11215 (2019) - [i4]Jan-Nico Zaech, Cong Gao, Bastian Bier, Russell H. Taylor, Andreas K. Maier, Nassir Navab, Mathias Unberath:
Learning to Avoid Poor Images: Towards Task-aware C-arm Cone-beam CT Trajectories. CoRR abs/1909.08868 (2019) - [i3]Martin Hahner, Dengxin Dai, Christos Sakaridis, Jan-Nico Zaech, Luc Van Gool:
Semantic Understanding of Foggy Scenes with Purely Synthetic Data. CoRR abs/1910.03997 (2019) - 2018
- [c2]Bastian Bier, Mathias Unberath
X-ray-transform Invariant Anatomical Landmark Detection for Pelvic Trauma Surgery. MICCAI (4) 2018: 55-63 - [c1]Mathias Unberath
DeepDRR - A Catalyst for Machine Learning in Fluoroscopy-Guided Procedures. MICCAI (4) 2018: 98-106 - [i2]Mathias Unberath, Jan-Nico Zaech, Sing Chun Lee, Bastian Bier, Javad Fotouhi, Mehran Armand, Nassir Navab:
DeepDRR - A Catalyst for Machine Learning in Fluoroscopy-guided Procedures. CoRR abs/1803.08606 (2018) - [i1]Bastian Bier, Mathias Unberath, Jan-Nico Zaech, Javad Fotouhi, Mehran Armand, Greg Osgood, Nassir Navab, Andreas K. Maier:
X-ray-transform Invariant Anatomical Landmark Detection for Pelvic Trauma Surgery. CoRR abs/1803.08608 (2018)
Coauthor Index
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