Philipp Heidenreich

30 papers A 1C 1Misc 4Journal 13Unranked 10
YearRankTypeTitle / Venue / Authors
2026 — conf
Simplify Your Fusion: Reducing Complexity for Multimodal Sensor Fusion.
VISAPP (2)
Thorsten Herd, Philipp Heidenreich, Christoph Stiller
2023 — conf
Cross-Dataset Experimental Study of Radar-Camera Fusion in Bird's-Eye View.
EUSIPCO
Lukas Stäcker, Philipp Heidenreich, Jason R. Rambach, Didier Stricker
2023 J jnl
Cross-Dataset Experimental Study of Radar-Camera Fusion in Bird's-Eye View.
CoRR
Lukas Stäcker, Philipp Heidenreich, Jason R. Rambach, Didier Stricker
2023 — conf
RC-BEVFusion: A Plug-In Module for Radar-Camera Bird's Eye View Feature Fusion.
DAGM
Lukas Stäcker, Shashank Mishra, Philipp Heidenreich, Jason R. Rambach, Didier Stricker
2023 J jnl
RC-BEVFusion: A Plug-In Module for Radar-Camera Bird's Eye View Feature Fusion.
CoRR
Lukas Stäcker, Shashank Mishra, Philipp Heidenreich, Jason R. Rambach, Didier Stricker
2022 A conf
Fusion Point Pruning for Optimized 2D Object Detection with Radar-Camera Fusion.
WACV
Lukas Stäcker, Philipp Heidenreich, Jason R. Rambach, Didier Stricker
2022 J jnl
MASS: Multi-Attentional Semantic Segmentation of LiDAR Data for Dense Top-View Understanding.
IEEE Trans. Intell. Transp. Syst.
Kunyu Peng, Juncong Fei, Kailun Yang, Alina Roitberg, Jiaming Zhang, Frank Bieder, Philipp Heidenreich, Christoph Stiller, Rainer Stiefelhagen
2022 — conf
SynPeDS: A Synthetic Dataset for Pedestrian Detection in Urban Traffic Scenes.
CSCS
Thomas Stauner, Frédérik Blank, Michael Fürst, Johannes Günther, Korbinian Hagn, Philipp Heidenreich, Markus Huber, Bastian Knerr, Thomas Schulik, Karl-Ferdinand Leiß
2021 J jnl
Automotive Radar Signal Processing: Research Directions and Practical Challenges.
IEEE J. Sel. Top. Signal Process.
Florian Engels, Philipp Heidenreich, Markus Wintermantel, Lukas Stäcker, Muhammed Al Kadi, Abdelhak M. Zoubir
2021 — conf
Deployment of Deep Neural Networks for Object Detection on Edge AI Devices with Runtime Optimization.
ICCVW
Lukas Stäcker, Juncong Fei, Philipp Heidenreich, Frank Bonarens, Jason R. Rambach, Didier Stricker, Christoph Stiller
2021 J jnl
Deployment of Deep Neural Networks for Object Detection on Edge AI Devices with Runtime Optimization.
CoRR
Lukas Stäcker, Juncong Fei, Philipp Heidenreich, Frank Bonarens, Jason R. Rambach, Didier Stricker, Christoph Stiller
2021 J jnl
Editorial: Introduction to the Issue on Recent Advances in Automotive Radar Signal Processing.
IEEE J. Sel. Top. Signal Process.
Philipp Heidenreich, Abdelhak M. Zoubir, Igal Bilik, Maria Greco, Murat Torlak
2021 J jnl
MASS: Multi-Attentional Semantic Segmentation of LiDAR Data for Dense Top-View Understanding.
CoRR
Kunyu Peng, Juncong Fei, Kailun Yang, Alina Roitberg, Jiaming Zhang, Frank Bieder, Philipp Heidenreich, Christoph Stiller, Rainer Stiefelhagen
2021 C conf
PillarSegNet: Pillar-based Semantic Grid Map Estimation using Sparse LiDAR Data.
IV
Juncong Fei, Kunyu Peng, Philipp Heidenreich, Frank Bieder, Christoph Stiller
2021 J jnl
PillarSegNet: Pillar-based Semantic Grid Map Estimation using Sparse LiDAR Data.
CoRR
Juncong Fei, Kunyu Peng, Philipp Heidenreich, Frank Bieder, Christoph Stiller
2020 — conf
SemanticVoxels: Sequential Fusion for 3D Pedestrian Detection using LiDAR Point Cloud and Semantic Segmentation.
MFI
Juncong Fei, Wenbo Chen, Philipp Heidenreich, Sascha Wirges, Christoph Stiller
2020 J jnl
SemanticVoxels: Sequential Fusion for 3D Pedestrian Detection using LiDAR Point Cloud and Semantic Segmentation.
CoRR
Juncong Fei, Wenbo Chen, Philipp Heidenreich, Sascha Wirges, Christoph Stiller
2019 — conf
TARGER: Neural Argument Mining at Your Fingertips.
ACL (3)
Artem N. Chernodub, Oleksiy Oliynyk, Philipp Heidenreich, Alexander Bondarenko, Matthias Hagen, Chris Biemann, Alexander Panchenko
2017 J jnl
Advances in Automotive Radar: A framework on computationally efficient high-resolution frequency estimation.
IEEE Signal Process. Mag.
Florian Engels, Philipp Heidenreich, Abdelhak M. Zoubir, Friedrich K. Jondral, Markus Wintermantel
2014 — ch.
Computational Aspects of Maximum Likelihood DOA Estimation of Two Targets with Applications to Automotive Radar.
Smart Mobile In-Vehicle Systems
Philipp Heidenreich, Abdelhak M. Zoubir
2013 J jnl
Fast maximum likelihood DOA estimation in the two-target case with applications to automotive radar.
Signal Process.
Philipp Heidenreich, Abdelhak M. Zoubir
2012 Misc conf
Computationally simple DOA estimation of two resolved targets with a single snapshot.
ICASSP
Philipp Heidenreich, Abdelhak M. Zoubir
2012 J jnl
Joint 2-D DOA Estimation and Phase Calibration for Uniform Rectangular Arrays.
IEEE Trans. Signal Process.
Philipp Heidenreich, Abdelhak M. Zoubir, Michael Rübsamen
2011 Misc conf
Gain and phase autocalibration for uniform rectangular arrays.
ICASSP
Philipp Heidenreich, Abdelhak M. Zoubir
2010 — conf
Computationally simple criteria for detecting a multi-target scenario in automotive radar array processing.
EUSIPCO
Philipp Heidenreich, David Stenmanns, Abdelhak M. Zoubir
2010 Misc conf
Objective quality assessment of speech enhancement algorithms using bootstrap-based multiple hypotheses tests.
ICASSP
Zhihua Lu, Philipp Heidenreich, Abdelhak M. Zoubir
2010 Misc conf
Robust direction-of-arrival estimation for FM sources in the presence of impulsive noise.
ICASSP
Waqas Sharif, Philipp Heidenreich, Abdelhak M. Zoubir
2009 J jnl
Morphological image processing for FM source detection and localization.
Signal Process.
Philipp Heidenreich, Luke A. Cirillo, Abdelhak M. Zoubir
2008 — conf
Goodness measure of speech reconstruction using the bootstrap.
ISWPC
Philipp Heidenreich, Abdelhak M. Zoubir
2007 — conf
Direction Finding of Nonstationary Signals using Spatial Time-Frequency Distributions and Morphological Image Processing.
ICASSP (3)
Philipp Heidenreich, Luke A. Cirillo, Abdelhak M. Zoubir