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Dr. Oliver Wasenmüller

E-Mail: oliver.wasenmueller@dfki.de
Position: Team Leader
About:


Dr.-Ing. Oliver Wasenmüller is team leader for “Machine Vision and Autonomous Vehicles” in the Augmented Vision department of DFKI. His current projects involve cutting-edge technologies in the area of Computer Vision, Machine Learning, Autonomous Driving and Industrie 4.0. His entire projects are in cooperation with national and international start-ups, SMEs or major enterprises. His current tasks cover the initialization of projects, finding and negotiating with appropriate project partners as well as the coordination of the project implementation.

He was selected by the Software Campus; an initiative of the German government to train and professionally develop tomorrows senior IT executives in the context of the excellence strategy. He was leading his own BMBF-funded research project and he got access to soft skill trainings of major German IT companies.

Mr. Wasenmüller received his Bachelor (B.Sc.) and Master (M.Sc.) degree in Computer Science from the University of Kaiserslautern, Germany. During his Master studies he worked on 3D reconstruction with perspective cameras. He finished his degree with a research stay and a Master Thesis at Sony’s European Technology Center (EuTEC). In his PhD thesis he researched on different algorithms for Time-of-Flight (ToF) RGB-D cameras in industrial application scenarios.

Besides his R&D activities, Oliver Wasenmüller is also coordinator of the Master courses “Project/Seminar: 3D Computer Vision” and “Project/Seminar: 2D Image Processing” at the University of Kaiserslautern. In addition, he is reviewer of different scientific conferences in the area of Computer Vision, Robotics and Augmented Reality.

43 Publications by Dr. Oliver Wasenmüller:

SALT: A Semi-automatic Labeling Tool for RGB-D Video Sequences
Dennis Stumpf, Stephan Krauß, Gerd Reis, Oliver Wasenmüller, Didier Stricker
Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP-2021). International Conference on Computer Vision Theory and Applications (VISAPP-2021) 16th International Conference on Computer Vision Theory and Applications February 8-10 Online (due to COVID-19) ISBN TBA SCITEPRESS 2021 .
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Ghost Target Detection in 3D Radar Data using Point Cloud based Deep Neural Network
Mahdi Chamseddine, Jason Raphael Rambach, Oliver Wasenmüller, Didier Stricker
International Conference on Pattern Recognition. International Conference on Pattern Recognition (ICPR-2020) January 12-15 Milano Italy IEEE 2021 .
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HPERL: 3D Human Pose Estimation from RGB and LiDAR
David Michael Fürst, Shriya T. P. Gupta, René Schuster, Oliver Wasenmüller, Didier Stricker
International Conference on Pattern Recognition. International Conference on Pattern Recognition (ICPR-2020) January 10-15 Milan Italy IEEE 2021 .
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LRPD: Long Range 3D Pedestrian Detection Leveraging Specific Strengths of LiDAR and RGB
David Michael Fürst, Oliver Wasenmüller, Didier Stricker
IEEE International Conference on Intelligent Transportation Systems (ITSC). IEEE Intelligent Transportation Systems Conference (IEEE ITSC-2020) September 20-23 Virtual Conference Greece IEEE 2020 .
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DFKI Cabin Simulator: A Test Platform for Visual In-Cabin Monitoring Functions
Hartmut Feld, Bruno Mirbach, Jigyasa Singh Katrolia, Mohamed Selim, Oliver Wasenmüller, Didier Stricker
Commercial Vehicle Technology 2020 - Proceedings of the 6th Commercial Vehicle Technology Symposium - CVT 2020. Commercial Vehicle Technology Symposium (CVT) 6th International Commercial Vehicle Technology Symposium Kaiserslautern Kaiserlautern Germany Springer 2020 .
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deepRGBXYZ: Dense Pixel Description Utilizing RGB and Depth with Stacked Dilated Convolutions
Ramy Battrawy, René Schuster, Oliver Wasenmüller, Qing Rao, Didier Stricker
International Conference on Intelligent Transportation Systems. IEEE Intelligent Transportation Systems Conference (IEEE ITSC-2020) September 20-23 Rhodes Greece IEEE 9/2020 .
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SVIRO: Synthetic Vehicle Interior Rear Seat Occupancy Dataset and Benchmark
Steve Dias Da Cruz, Oliver Wasenmüller, Hans-Peter Beise, Thomas Stifter, Didier Stricker
Proceedings of IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE Winter Conference on Applications of Computer Vision (WACV-2020) March 1-5 Aspen CO United States IEEE 2020 .
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SSGP: Sparse Spatial Guided Propagation for Robust and Generic Interpolation
René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker
Winter Conference on Applications of Computer Vision. IEEE Winter Conference on Applications of Computer Vision (WACV-2021) January 5-9 Waikoloa HI United States IEEE 2021 .
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ResFPN: Residual Skip Connections in Multi-Resolution Feature Pyramid Networks for Accurate Dense Pixel Matching
Rishav Rishav, René Schuster, Ramy Battrawy, Oliver Wasenmüller, Didier Stricker
International Conference on Pattern Recognition. International Conference on Pattern Recognition (ICPR-2021) January 12-15 Mailand Italy IEEE 1/2021 .
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OPEDD: Off-Road Pedestrian Detection Dataset
Peter Neigel, Mina Ameli, Jigyasa Singh Katrolia, Hartmut Feld, Oliver Wasenmüller, Didier Stricker
Journal of WSCG. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG-2020) May 19-21 Virtual (due to CoVid-19) Czech Republic Seiten 197-202 28 1-2 ISBN 1213-6972 7/2020 .
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DeepLiDARFlow: A Deep Learning Architecture For Scene Flow Estimation Using Monocular Camera and Sparse LiDAR
Rishav Rishav, Ramy Battrawy, René Schuster, Oliver Wasenmüller, Didier Stricker
International conference in robotics and intelligent systems. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2020) October 25-29 Las Vegas NV United States Minor Outlying Islands IEEE 10/2020 .
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DeLiO: Decoupled LiDAR Odometry
Queens Maria Thomas, Oliver Wasenmüller, Didier Stricker
IEEE Intelligent Vehicles Symposium. IEEE Intelligent Vehicles Symposium (IV-2019) IEEE 2019 .
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SDC - Stacked Dilated Convolution: A Unified Descriptor Network for Dense Matching Tasks
René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker
Conference on Computer Vision and Pattern Recognition. International Conference on Computer Vision and Pattern Recognition (CVPR-2019) June 16-20 Long Beach CA United States IEEE 2019 .
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PWOC-3D: Deep Occlusion-Aware End-to-End Scene Flow Estimation
Rohan Saxena, René Schuster, Oliver Wasenmüller, Didier Stricker
Intelligent Vehicles Symposium. IEEE Intelligent Vehicle Symposium (IV-2019) June 10-12 Paris France IEEE 2019 .
Details | Link 1 | Link 2

An Empirical Evaluation Study on the Training of SDC Features for Dense Pixel Matching
René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker
Conference on Computer Vision and Pattern Recognition Workshops. Safe Artificial Intelligence for Automated Driving Workshop (SAIAD-2019) befindet sich CVPR 2019 June 17-17 Long Beach CA United States IEEE Xplore 2019 .
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SceneFlowFields++: Multi-frame Matching, Visibility Prediction, and Robust Interpolation for Scene Flow Estimation
René Schuster, Oliver Wasenmüller, Christian Unger, Georg Kuschk, Didier Stricker
International Journal of Computer Vision (IJCV) tba Springer 2019 .
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SDC - Stacked Dilated Convolutions
René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker
Computer Science in Cars Sympoisum. ACM Computer Science in Cars Symposium (CSCS-2019) October 8-8 Germany ACM 10/2019 .
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LiDAR-Flow: Dense Scene Flow Estimation from Sparse LiDAR and Stereo Images
Ramy Battrawy, René Schuster, Oliver Wasenmüller, Qing Rao, Didier Stricker
International conference in robotics and intelligent systems. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2019) IEEE/RSJ International Conference on Intelligent Robots and Systems November 4-8 MACAO, CHINA Macao SAR of China IEEE 2019 .
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An Overview of the SVIRO Dataset and Benchmark
Steve Dias Da Cruz, Oliver Wasenmüller, Hans-Peter Beise, Thomas Stifter, Didier Stricker
Computer Science in Cars Symposium. ACM Computer Science in Cars Symposium (CSCS-2019) October 8-8 Kaiserslautern Germany ACM 2019 .
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SceneFlowFields: Dense Interpolation of Sparse Scene Flow Correspondences
René Schuster, Oliver Wasenmüller, Georg Kuschk, Christian Bailer, Didier Stricker
IEEE Winter Conference on Applications of Computer Vision (WACV-18), March 12-14, Lake Tahoe, NV/CA, USA
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ScaleNet: Scale Invariant Network for Semantic Segmentation in Urban Driving Scenes
Mohammad Dawud Ansari, Stephan Krauß, Oliver Wasenmüller, Didier Stricker
International Conference on Computer Vision Theory and Applications (VISAPP-18), 13th, January 27-29, Funchal, Madeira, Portugal
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Combining Stereo Disparity and Optical Flow for Basic Scene Flow
René Schuster, Christian Bailer, Oliver Wasenmüller, Didier Stricker
Commercial Vehicle Technology Symposium (CVT-18), March 13-15, Kaiserslautern, Germany
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Accelerated DNA-SLAM for RGB-D images
Mina Ameli, Oliver Wasenmüller, Mohammad Reza Soheili, Jamshid Shanbehzadeh, Didier Stricker
ACM International Conference on Image and Graphics Processing (ICIGP-2018), February 24-26, Hong Kong, China
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FlowFields++: Accurate Optical Flow Correspondences Meet Robust Interpolation
René Schuster, Christian Bailer, Oliver Wasenmüller, Didier Stricker
IEEE International Conference on Image Processing
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Dynamic Risk Assessment for Vehicles of Higher Automation Levels by Deep Learning
Patrik Feth, Mohammed Naveed Akram, René Schuster, Oliver Wasenmüller
International Workshop on Artificial Intelligence Safety Engineering (WAISE-2018), located at SAFECOMP 2018, September 18, Västerås, Sweden
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Automated Scene Flow Data Generation for Training and Verification
Oliver Wasenmüller, René Schuster, Didier Stricker, Karl Leiss, Jürger Pfister, Oleksandra Ganus, Julian Tatsch, Artem Savkin, Nikolas Brasch
ACM Computer Science in Cars Symposium (CSCS) ACM Computer Science in Cars Symposium (CSCS-2018), Munich, Germany
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Dense Scene Flow from Stereo Disparity and Optical Flow
René Schuster, Oliver Wasenmüller, Didier Stricker
Computer Science in Cars Symposium ACM Chapters Computer Science in Cars Symposium (CSCS-2018), September 13-14, Munich, Germany
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Improving Time-of-Flight Sensor for Specular Surface with Shape from Polarization
Tomonari Yoshida, Vladislav Golyanik, Oliver Wasenmüller, Didier Stricker
IEEE International Conference on Image Processing (ICIP). IEEE International Conference on Image Processing (ICIP-2018) October 7-10 Athens Greece IEEE 2018 .
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Towards Non-Rigid Reconstruction - How to adapt rigid RGB-D reconstruction to non-rigid movements?
Oliver Wasenmüller, Benjamin Schenkenberger, Didier Stricker
International Conference on Computer Vision Theory and Applications International Conference on Computer Vision Theory and Applications (VISAPP-17), February 27 - March 1, Porto, Portugal
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Soll/Ist-Vergleich
Oliver Adams, Ulrich Bockholt, Axel Hildebrand, Leiv Jonescheit, Roland Krzikalla, Manuel Olbrich, Frieder Pankratz, Sebastian Pfützner, Matthias Roth, Fabian Scheer, Björn Schwerdtfeger, Ingo Staack, Oliver Wasenmüller
Werner Schreiber; Konrad Zürl; Peter Zimmermann: Web-basierte Anwendungen Virtueller Techniken
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Towards Flow Estimation in Automotive Scenarios
René Schuster, Oliver Wasenmüller, Georg Kuschk, Christian Bailer, Didier Stricker
Computer Science in Cars Symposium ACM Chapters Computer Science in Cars Symposium (CSCS-17), Computer Science in Cars Symposium 2017, July 6, Munich, Germany
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Ein Bildgeber und Distanzsensor für Automotive und Industrie
Oliver Wasenmüller, Didier Stricker

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Time-Of-Flight Sensor Depth Enhancement for Automotive Exhaust Gas
Tomonari Yoshida, Oliver Wasenmüller, Didier Stricker
2017 IEEE International Conference on Image Processing - Proceedings IEEE International Conference on Image Processing (ICIP-2017), September 17-20, Beijing, China
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Towards an Accurate RGB-D Benchmark, Mapping and Odometry as well as their Applications
Oliver Wasenmüller

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CoRBS: Comprehensive RGB-D Benchmark for SLAM using Kinect v2
Oliver Wasenmüller, Marcel Meyer, Didier Stricker
IEEE Winter Conference on Applications of Computer Vision (WACV-2016), March 7-9, Lake Placid, NY, USA
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Augmented Reality 3D Discrepancy Check in Industrial Applications
Oliver Wasenmüller, Marcel Meyer, Didier Stricker
Proceedings of the 2016 IEEE International Symposium on Mixed and Augmented Reality IEEE International Symposium on Mixed and Augmented Reality (ISMAR-2016), September 19-23, Merida, Mexico
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DNA-SLAM: Dense Noise Aware SLAM for ToF RGB-D Cameras
Oliver Wasenmüller, Mohammad Dawud Ansari, Didier Stricker
Asian Conference on Computer Vision Workshop Asian Conference on Computer Vision Workshop (ACCV workshop-16), Taipeh, Taiwan, Province of China
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Comparison of Kinect v1 and v2 Depth Images in Terms of Accuracy and Precision
Oliver Wasenmüller, Didier Stricker
Asian Conference on Computer Vision Workshop Asian Conference on Computer Vision Workshop (ACCV workshop-16), Taipeh, Taiwan, Province of China
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Combined Bilateral Filter for Enhanced Real-Time Upsampling of Depth Images
Oliver Wasenmüller, Gabriele Bleser, Didier Stricker
Proceedings of the 10th International Conference on Computer Vision Theory and Applications International Conference on Computer Vision Theory and Applications (VISAPP-15), 10th, March 11-14, Berlin, Germany
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Joint Bilateral Mesh Denoising using Color Information and Local Anti-Shrinking
Oliver Wasenmüller, Gabriele Bleser, Didier Stricker
Proceedings of the International Conference on Computer Graphics, Visualization and Computer Vision
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Precise and Automatic Anthropometric Measurement Extraction using Template Registration
Oliver Wasenmüller, Jan C. Peters, Vladislav Golyanik, Didier Stricker
Proceedings of the 6th International Conference on 3D Body Scanning Technologies International Conference on 3D Body Scanning Technologies (3DBST-2015), October 27-28, Lugano, Switzerland
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Correspondence Chaining for Enhanced Dense 3D Reconstruction
Oliver Wasenmüller, Bernd Krolla, Francesco Michielin, Didier Stricker
Communication Papers Proceedings of the International Conference on Computer Graphics, Visualization and Computer Vision (WSCG) International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG-22)
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Enhancing Dense 3D Models by Multi-View Triangulation and Subsequent Illumination Estimation
Oliver Wasenmüller

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