Thomas M. Hehn

According to our database, Thomas M. Hehn authored at least 10 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Probabilistic and Differentiable Wireless Simulation with Geometric Transformers.

Thomas Hehn, Markus Peschl, Tribhuvanesh Orekondy, Arash Behboodi, Johann Brehmer

CoRR, 2024

Simulating, Fast and Slow: Learning Policies for Black-Box Optimization.

Fabio Valerio Massoli, Tim Bakker, Thomas Hehn, Tribhuvanesh Orekondy, Arash Behboodi

CoRR, 2024

2023

Transformer-Based Neural Surrogate for Link-Level Path Loss Prediction from Variable-Sized Maps.

Thomas M. Hehn, Tribhuvanesh Orekondy, Ori Shental, Arash Behboodi, Juan Bucheli, Akash S. Doshi, June Namgoong, Taesang Yoo, Ashwin Sampath, Joseph B. Soriaga

Proceedings of the IEEE Global Communications Conference, 2023

2022

Fast and Compact Image Segmentation Using Instance Stixels.

Thomas M. Hehn, Julian F. P. Kooij, Dariu Gavrila

IEEE Trans. Intell. Veh., 2022

How do Cross-View and Cross-Modal Alignment Affect Representations in Contrastive Learning?

Thomas M. Hehn, Julian F. P. Kooij, Dariu M. Gavrila

CoRR, 2022

2021

Hearing What You Cannot See: Acoustic Vehicle Detection Around Corners.

Yannick Schulz, Avinash Kini Mattar, Thomas M. Hehn, Julian F. P. Kooij

IEEE Robotics Autom. Lett., 2021

2020

End-to-End Learning of Decision Trees and Forests.

Thomas M. Hehn, Julian F. P. Kooij, Fred A. Hamprecht

Int. J. Comput. Vis., 2020

Hearing What You Cannot See: Acoustic Detection Around Corners.

Yannick Schulz, Avinash Kini Mattar, Thomas M. Hehn, Julian F. P. Kooij

CoRR, 2020

2019

Instance Stixels: Segmenting and Grouping Stixels into Objects.

Thomas M. Hehn, Julian F. P. Kooij, Dariu M. Gavrila

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

2018

End-to-End Learning of Deterministic Decision Trees.

Thomas M. Hehn, Fred A. Hamprecht

Proceedings of the Pattern Recognition - 40th German Conference, 2018