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 (MICCAI (4), 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 (MICCAI (4), 2018)

Semantic Understanding of Foggy Scenes with Purely Synthetic Data. - Martin Hahner; Dengxin Dai; Christos Sakaridis; Jan-Nico Zaech; Luc Van Gool (ITSC, 2019)

Texture Underfitting for Domain Adaptation. - Jan-Nico Zaech; Dengxin Dai; Martin Hahner; Luc Van Gool (ITSC, 2019)

Learning to Avoid Poor Images: Towards Task-aware C-arm Cone-beam CT Trajectories. - Jan-Nico Zaech; Cong Gao 003; Bastian Bier; Russell H. Taylor; Andreas K. Maier; Nassir Navab; Mathias Unberath (MICCAI (5), 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 001; Mathias Unberath (Int. J. Comput. Assist. Radiol. Surg., 2019)

Enabling machine learning in X-ray-based procedures via realistic simulation of image formation. - Mathias Unberath; Jan-Nico Zaech; Cong Gao 003; Bastian Bier; Florian Goldmann; Sing Chun Lee; Javad Fotouhi; Russell H. Taylor; Mehran Armand; Nassir Navab (Int. J. Comput. Assist. Radiol. Surg., 2019)

Abstract: Learning to Avoid Poor Images. - Jan-Nico Zaech; Cong Gao 003; Bastian Bier; Russell H. Taylor; Andreas K. Maier; Nassir Navab; Mathias Unberath (Bildverarbeitung für die Medizin, 2020)

Action Sequence Predictions of Vehicles in Urban Environments using Map and Social Context. - Jan-Nico Zaech; Dengxin Dai; Alexander Liniger; Luc Van Gool (IROS, 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 003; Russell H. Taylor; Nassir Navab; Andreas Maier 001; Mathias Unberath (Int. J. Comput. Assist. Radiol. Surg., 2020)

Decoder Fusion RNN: Context and Interaction Aware Decoders for Trajectory Prediction. - Edoardo Mello Rella; Jan-Nico Zaech; Alexander Liniger; Luc Van Gool (IROS, 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)

Adiabatic Quantum Computing for Multi Object Tracking. - Jan-Nico Zaech; Alexander Liniger; Martin Danelljan; Dengxin Dai; Luc Van Gool (CVPR, 2022)

Unsupervised Robust Domain Adaptation without Source Data. - Peshal Agarwal; Danda Pani Paudel; Jan-Nico Zaech; Luc Van Gool (WACV, 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)

Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing. - Jan-Nico Zaech; Martin Danelljan; Luc Van Gool (CoRR, 2023)

Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing. - Jan-Nico Zaech; Martin Danelljan; Tolga Birdal; Luc Van Gool (CVPR, 2024)

One-Shot Sparse Neural Architecture Search for Resource-Constrained Devices. - Shenghui Song 003; Jan-Nico Zaech; Seonyeong Heo (RTCSA, 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 (WACV, 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)

Holistic Understanding of 3D Scenes as Universal Scene Description. - Anna-Maria Halacheva; Yang Miao; Jan-Nico Zaech; Xi Wang 021; Luc Van Gool; Danda Pani Paudel (CoRR, 2024)

Occam's LGS: A Simple Approach for Language Gaussian Splatting. - Jiahuan Cheng; Jan-Nico Zaech; Luc Van Gool; Danda Pani Paudel (CoRR, 2024)

Vision for Autonomous Systems: From Tracking and Prediction to Quantum Computing. - Jan-Nico Zaech (2024)

Dream to Drive: Model-Based Vehicle Control Using Analytic World Models. - Asen Nachkov; Danda Pani Paudel; Jan-Nico Zaech; Davide Scaramuzza 001; Luc Van Gool (CoRR, 2025)

Small-Scale Testbeds for Connected and Automated Vehicles and Robot Swarms: Challenges and a Roadmap. - Jianye Xu; Bassam Alrifaee; Johannes Betz; Armin Mokhtarian; Archak Mittal; Mengchi Cai; Rahul Mangharam; Omar M. Shehata; Catherine M. Elias; Jan-Nico Zaech; Patrick Scheffe; Felix Jahncke; et al. (CoRR, 2025)

RhoDARTS: Differentiable Quantum Architecture Search with Density Matrix Simulations. - Swagat Kumar; Jan-Nico Zaech; Colin Michael Wilmott; Luc Van Gool (CoRR, 2025)

GaussianVLM: Scene-centric 3D Vision-Language Models using Language-aligned Gaussian Splats for Embodied Reasoning and Beyond. - Anna-Maria Halacheva; Jan-Nico Zaech; Xi Wang 021; Danda Pani Paudel; Luc Van Gool (CoRR, 2025)

From Scan to Action: Leveraging Realistic Scans for Embodied Scene Understanding. - Anna-Maria Halacheva; Jan-Nico Zaech; Sombit Dey; Luc Van Gool; Danda Pani Paudel (CoRR, 2025)