Direction Finding of Nonstationary Signals using Spatial Time-Frequency Distributions and Morphological Image Processing. - Philipp Heidenreich; Luke A. Cirillo; Abdelhak M. Zoubir (ICASSP (3), 2007)

Goodness measure of speech reconstruction using the bootstrap. - Philipp Heidenreich; Abdelhak M. Zoubir (ISWPC, 2008)

Morphological image processing for FM source detection and localization. - Philipp Heidenreich; Luke A. Cirillo; Abdelhak M. Zoubir (Signal Process., 2009)

Computationally simple criteria for detecting a multi-target scenario in automotive radar array processing. - Philipp Heidenreich; David Stenmanns; Abdelhak M. Zoubir (EUSIPCO, 2010)

Objective quality assessment of speech enhancement algorithms using bootstrap-based multiple hypotheses tests. - Zhihua Lu; Philipp Heidenreich; Abdelhak M. Zoubir (ICASSP, 2010)

Robust direction-of-arrival estimation for FM sources in the presence of impulsive noise. - Waqas Sharif; Philipp Heidenreich; Abdelhak M. Zoubir (ICASSP, 2010)

Gain and phase autocalibration for uniform rectangular arrays. - Philipp Heidenreich; Abdelhak M. Zoubir (ICASSP, 2011)

Computationally simple DOA estimation of two resolved targets with a single snapshot. - Philipp Heidenreich; Abdelhak M. Zoubir (ICASSP, 2012)

Joint 2-D DOA Estimation and Phase Calibration for Uniform Rectangular Arrays. - Philipp Heidenreich; Abdelhak M. Zoubir; Michael Rübsamen (IEEE Trans. Signal Process., 2012)

Fast maximum likelihood DOA estimation in the two-target case with applications to automotive radar. - Philipp Heidenreich; Abdelhak M. Zoubir (Signal Process., 2013)

Computational Aspects of Maximum Likelihood DOA Estimation of Two Targets with Applications to Automotive Radar. - Philipp Heidenreich; Abdelhak M. Zoubir (Smart Mobile In-Vehicle Systems, 2014)

Advances in Automotive Radar: A framework on computationally efficient high-resolution frequency estimation. - Florian Engels; Philipp Heidenreich; Abdelhak M. Zoubir; Friedrich K. Jondral; Markus Wintermantel (IEEE Signal Process. Mag., 2017)

TARGER: Neural Argument Mining at Your Fingertips. - Artem N. Chernodub; Oleksiy Oliynyk; Philipp Heidenreich; Alexander Bondarenko 001; Matthias Hagen; Chris Biemann; Alexander Panchenko (ACL (3), 2019)

SemanticVoxels: Sequential Fusion for 3D Pedestrian Detection using LiDAR Point Cloud and Semantic Segmentation. - Juncong Fei; Wenbo Chen 012; Philipp Heidenreich; Sascha Wirges; Christoph Stiller (MFI, 2020)

Deployment of Deep Neural Networks for Object Detection on Edge AI Devices with Runtime Optimization. - Lukas Stäcker; Juncong Fei; Philipp Heidenreich; Frank Bonarens; Jason R. Rambach; Didier Stricker; Christoph Stiller (ICCVW, 2021)

PillarSegNet: Pillar-based Semantic Grid Map Estimation using Sparse LiDAR Data. - Juncong Fei; Kunyu Peng; Philipp Heidenreich; Frank Bieder; Christoph Stiller (IV, 2021)

Automotive Radar Signal Processing: Research Directions and Practical Challenges. - Florian Engels; Philipp Heidenreich; Markus Wintermantel; Lukas Stäcker; Muhammed Al Kadi; Abdelhak M. Zoubir (IEEE J. Sel. Top. Signal Process., 2021)

Editorial: Introduction to the Issue on Recent Advances in Automotive Radar Signal Processing. - Philipp Heidenreich; Abdelhak M. Zoubir; Igal Bilik; Maria Greco 001; Murat Torlak (IEEE J. Sel. Top. Signal Process., 2021)

SynPeDS: A Synthetic Dataset for Pedestrian Detection in Urban Traffic Scenes. - Thomas Stauner; Frédérik Blank; Michael Fürst; Johannes Günther 001; Korbinian Hagn; Philipp Heidenreich; Markus Huber; Bastian Knerr; Thomas Schulik; Karl-Ferdinand Leiß (CSCS, 2022)

Fusion Point Pruning for Optimized 2D Object Detection with Radar-Camera Fusion. - Lukas Stäcker; Philipp Heidenreich; Jason R. Rambach; Didier Stricker (WACV, 2022)

MASS: Multi-Attentional Semantic Segmentation of LiDAR Data for Dense Top-View Understanding. - Kunyu Peng; Juncong Fei; Kailun Yang 001; Alina Roitberg; Jiaming Zhang 001; Frank Bieder; Philipp Heidenreich; Christoph Stiller; Rainer Stiefelhagen (IEEE Trans. Intell. Transp. Syst., 2022)

RC-BEVFusion: A Plug-In Module for Radar-Camera Bird's Eye View Feature Fusion. - Lukas Stäcker; Shashank Mishra; Philipp Heidenreich; Jason R. Rambach; Didier Stricker (DAGM, 2023)

Cross-Dataset Experimental Study of Radar-Camera Fusion in Bird's-Eye View. - Lukas Stäcker; Philipp Heidenreich; Jason R. Rambach; Didier Stricker (EUSIPCO, 2023)