CV

Education

• Ph.D in Version Control Theory, GitHub University, 2018 (expected)
• M.S. in Jekyll, GitHub University, 2014
• B.S. in GitHub, GitHub University, 2012

Work experience

• Spring 2024: Academic Pages Collaborator
  • GitHub University
  • Duties includes: Updates and improvements to template
  • Supervisor: The Users
• Fall 2015: Research Assistant
  • GitHub University
  • Duties included: Merging pull requests
  • Supervisor: Professor Hub
• Summer 2015: Research Assistant
  • GitHub University
  • Duties included: Tagging issues
  • Supervisor: Professor Git

Skills

• Skill 1
• Skill 2
  • Sub-skill 2.1
  • Sub-skill 2.2
  • Sub-skill 2.3
• Skill 3

Publications

DGFusion: Depth-Guided Sensor Fusion for Robust Semantic Perception

Tim Broedermann, Christos Sakaridis, Luigi Piccinelli, Wim Abbeloos, and Luc Van Gool. (2026). "DGFusion: Depth-Guided Sensor Fusion for Robust Semantic Perception." IEEE Robotics and Automation Letters, 11(3), 3334-3341. doi:10.1109/LRA.2026.3656789.

CAFuser: Condition-Aware Multimodal Fusion for Robust Semantic Perception of Driving Scenes

Tim Broedermann, Christos Sakaridis, Yuqian Fu, and Luc Van Gool. (2025). "CAFuser: Condition-Aware Multimodal Fusion for Robust Semantic Perception of Driving Scenes." RA-L.

PBR-NeRF: Inverse Rendering with Physics-Based Neural Fields

Sean Wu, Shamik Basu, Tim Broedermann, Luc Van Gool, and Christos Sakaridis. (2025). "PBR-NeRF: Inverse Rendering with Physics-Based Neural Fields." CVPR.

MUSES: The Multi-Sensor Semantic Perception Dataset for Driving under Uncertainty

Tim Broedermann, David Bruggemann, Christos Sakaridis, Kevin Ta, Odysseas Liagouris, Jason Corkill, and Luc Van Gool. (2024). "MUSES: The Multi-Sensor Semantic Perception Dataset for Driving under Uncertainty." ECCV.

Radar Fields: Frequency-Space Neural Scene Representations for FMCW Radar

David Borts, Erich Liang, Tim Broedermann, Andrea Ramazzina, Stefanie Walz, Edoardo Palladin, Jipeng Sun, David Bruggemann, Christos Sakaridis, Luc Van Gool, Mario Bijelic, and Felix Heide. (2024). "Radar Fields: Frequency-Space Neural Scene Representations for FMCW Radar." SIGGRAPH.

Contrastive Model Adaptation for Cross-Condition Robustness in Semantic Segmentation

David Bruggemann, Christos Sakaridis, Tim Broedermann, and Luc Van Gool. (2023). "Contrastive Model Adaptation for Cross-Condition Robustness in Semantic Segmentation." ICCV.

HRFuser: A Multi-resolution Sensor Fusion Architecture for 2D Object Detection

Tim Broedermann, Christos Sakaridis, Dengxin Dai, and Luc Van Gool. (2023). "HRFuser: A Multi-resolution Sensor Fusion Architecture for 2D Object Detection." ITSC.

Lasers to Events: A Flexible Automatic Method for 6-DoF Extrinsic Calibration of Lidars and Event Cameras

Kevin Ta, David Bruggemann, Tim Broedermann, Christos Sakaridis, and Luc Van Gool. (2023). "Lasers to Events: A Flexible Automatic Method for 6-DoF Extrinsic Calibration of Lidars and Event Cameras." ICRA.

An Adaptive Landing Gear for Extending the Operational Range of Helicopters

Boris Stolz, Tim Broedermann, Enea Castiello, Gokula Englberger, Daniel Erne, Marco Hutter, et al. (2018). "An Adaptive Landing Gear for Extending the Operational Range of Helicopters." IROS.

Talks

Teaching

Computer Vision and Artificial Intelligence for Autonomous Cars (2024/25)

Computer Vision and Artificial Intelligence for Autonomous Cars (2023/24)

Projekte & Seminare: Vision and Control in RoboCup (2022)

Deep Learning for Autonomous Driving (2021/22)

Werkstoffe und Fertigung I+II (2016/17)

Service and leadership

• Currently signed in to 43 different slack teams