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Oliver Wasenmüller
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2020 – today
- 2024
- [i34]Alexander Musiat, Laurenz Reichardt, Michael Schulze
, Oliver Wasenmüller:
RadarPillars: Efficient Object Detection from 4D Radar Point Clouds. CoRR abs/2408.05020 (2024) - [i33]Sven Oehri, Nikolas Ebert, Ahmed Abdullah, Didier Stricker, Oliver Wasenmüller:
GenFormer - Generated Images are All You Need to Improve Robustness of Transformers on Small Datasets. CoRR abs/2408.14131 (2024) - [i32]Laurenz Reichardt, Luca Uhr, Oliver Wasenmüller:
Text3DAug - Prompted Instance Augmentation for LiDAR Perception. CoRR abs/2408.14253 (2024) - [i31]Ahmed Abdullah, Nikolas Ebert, Oliver Wasenmüller:
Boosting Few-Shot Detection with Large Language Models and Layout-to-Image Synthesis. CoRR abs/2410.06841 (2024) - 2023
- [j4]Nikolas Ebert
PLG-ViT: Vision Transformer with Parallel Local and Global Self-Attention. Sensors 23(7): 3447 (2023) - [c37]Laurenz Reichardt, Nikolas Ebert
360° from a Single Camera: A Few-Shot Approach for LiDAR Segmentation. ICCV (Workshops) 2023: 1067-1075 - [c36]Nikolas Ebert
Transformer-based Detection of Microorganisms on High-Resolution Petri Dish Images. ICCV (Workshops) 2023: 3963-3972 - [c35]Nikolas Ebert
Light-Weight Vision Transformer with Parallel Local and Global Self-Attention. ITSC 2023: 452-459 - [e5]Björn Brücher, Christoph Krauß, Mario Fritz, Hans-Joachim Hof, Oliver Wasenmüller:
Proceedings of the 7th ACM Computer Science in Cars Symposium, CSCS 2023, Darmstadt, Germany, 5 December 2023. ACM 2023 [contents] - [i30]Nikolas Ebert, Laurenz Reichardt, Didier Stricker, Oliver Wasenmüller:
Light-Weight Vision Transformer with Parallel Local and Global Self-Attention. CoRR abs/2307.09120 (2023) - [i29]Nikolas Ebert, Didier Stricker, Oliver Wasenmüller:
Transformer-based Detection of Microorganisms on High-Resolution Petri Dish Images. CoRR abs/2308.09436 (2023) - [i28]Laurenz Reichardt, Nikolas Ebert, Oliver Wasenmüller:
360° from a Single Camera: A Few-Shot Approach for LiDAR Segmentation. CoRR abs/2309.06197 (2023) - 2022
- [c34]Johannes Hemm, Oliver Wasenmüller, Marius Siegfarth
Mixed Reality User Interface for a Hybrid Operation Room. ISMAR Adjunct 2022: 833-838 - [c33]Nikolas Ebert
Multitask Network for Joint Object Detection, Semantic Segmentation and Human Pose Estimation in Vehicle Occupancy Monitoring. IV 2022: 637-643 - [e4]Björn Brücher, Christoph Krauß, Mario Fritz, Hans-Joachim Hof, Oliver Wasenmüller:
Computer Science in Cars Symposium, CSCS 2022, Ingolstadt, Germany, 8 December 2022. ACM 2022, ISBN 978-1-4503-9786-5 [contents] - [i27]Nikolas Ebert, Patrick Mangat, Oliver Wasenmüller:
Multitask Network for Joint Object Detection, Semantic Segmentation and Human Pose Estimation in Vehicle Occupancy Monitoring. CoRR abs/2205.01515 (2022) - 2021
- [c32]Laurenz Reichardt, Patrick Mangat, Oliver Wasenmüller:
DVMN: Dense Validity Mask Network for Depth Completion. ITSC 2021: 2653-2659 - [c31]Dennis Teutscher, Patrick Mangat, Oliver Wasenmüller:
PDC: Piecewise Depth Completion utilizing Superpixels. ITSC 2021: 2752-2758 - [c30]Steve Dias Da Cruz, Bertram Taetz, Oliver Wasenmüller, Thomas Stifter, Didier Stricker:
Autoencoder Based Inter-Vehicle Generalization for In-Cabin Occupant Classification. IV 2021: 1296-1303 - [c29]Dennis Stumpf, Stephan Krauß, Gerd Reis, Oliver Wasenmüller, Didier Stricker
SALT: A Semi-automatic Labeling Tool for RGB-D Video Sequences. VISIGRAPP (4: VISAPP) 2021: 595-603 - [c28]René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker:
SSGP: Sparse Spatial Guided Propagation for Robust and Generic Interpolation. WACV 2021: 197-206 - [e3]Björn Brücher, Christoph Krauß, Mario Fritz, Hans-Joachim Hof, Oliver Wasenmüller:
CSCS '21: Computer Science in Cars Symposium, Ingolstadt, Germany, 30 November 2021. ACM 2021, ISBN 978-1-4503-9139-9 [contents] - [i26]Dennis Stumpf, Stephan Krauß, Gerd Reis, Oliver Wasenmüller, Didier Stricker:
SALT: A Semi-automatic Labeling Tool for RGB-D Video Sequences. CoRR abs/2102.10820 (2021) - [i25]Steve Dias Da Cruz
Autoencoder Based Inter-Vehicle Generalization for In-Cabin Occupant Classification. CoRR abs/2105.03164 (2021) - [i24]Laurenz Reichardt, Patrick Mangat, Oliver Wasenmüller:
DVMN: Dense Validity Mask Network for Depth Completion. CoRR abs/2107.06709 (2021) - [i23]Dennis Teutscher, Patrick Mangat, Oliver Wasenmüller:
PDC: Piecewise Depth Completion utilizing Superpixels. CoRR abs/2107.06711 (2021) - [i22]Muhammad Fawwaz Yusri, Patrick Mangat, Oliver Wasenmüller:
Detection of Driver Drowsiness by Calculating the Speed of Eye Blinking. CoRR abs/2110.11223 (2021) - 2020
- [j3]René Schuster
SceneFlowFields++: Multi-frame Matching, Visibility Prediction, and Robust Interpolation for Scene Flow Estimation. Int. J. Comput. Vis. 128(2): 527-546 (2020) - [j2]Peter Neigel
OPEDD: Offroad Pedestrian Detection Dataset. J. WSCG 28(1-2): 197-202 (2020) - [c27]Rishav, René Schuster, Ramy Battrawy, Oliver Wasenmüller, Didier Stricker
ResFPN: Residual Skip Connections in Multi-Resolution Feature Pyramid Networks for Accurate Dense Pixel Matching. ICPR 2020: 180-187 - [c26]Michael Fürst, Shriya T. P. Gupta, René Schuster, Oliver Wasenmüller, Didier Stricker
HPERL: 3D Human Pose Estimation from RGB and LiDAR. ICPR 2020: 7321-7327 - [c25]Mahdi Chamseddine
Ghost Target Detection in 3D Radar Data using Point Cloud based Deep Neural Network. ICPR 2020: 10398-10403 - [c24]Rishav, Ramy Battrawy, René Schuster, Oliver Wasenmüller, Didier Stricker
DeepLiDARFlow: A Deep Learning Architecture For Scene Flow Estimation Using Monocular Camera and Sparse LiDAR. IROS 2020: 10460-10467 - [c23]Ramy Battrawy, René Schuster, Oliver Wasenmüller, Qing Rao, Didier Stricker
deepRGBXYZ: Dense Pixel Description Utilizing RGB and Depth with Stacked Dilated Convolutions. ITSC 2020: 1-8 - [c22]Michael Fürst, Oliver Wasenmüller, Didier Stricker
LRPD: Long Range 3D Pedestrian Detection Leveraging Specific Strengths of LiDAR and RGB. ITSC 2020: 1-7 - [c21]Steve Dias Da Cruz, Oliver Wasenmüller, Hans-Peter Beise, Thomas Stifter, Didier Stricker:
SVIRO: Synthetic Vehicle Interior Rear Seat Occupancy Dataset and Benchmark. WACV 2020: 962-971 - [e2]Björn Brücher, Oliver Wasenmüller, Mario Fritz, Hans-Joachim Hof
CSCS '20: Computer Science in Cars Symposium, Feldkirchen, Germany, December 2, 2020. ACM 2020, ISBN 978-1-4503-7621-1 [contents] - [i21]Steve Dias Da Cruz
SVIRO: Synthetic Vehicle Interior Rear Seat Occupancy Dataset and Benchmark. CoRR abs/2001.03483 (2020) - [i20]Hartmut Feld, Bruno Mirbach, Jigyasa Katrolia, Mohamed Selim, Oliver Wasenmüller, Didier Stricker:
DFKI Cabin Simulator: A Test Platform for Visual In-Cabin Monitoring Functions. CoRR abs/2002.03749 (2020) - [i19]Michael Fürst, Oliver Wasenmüller, Didier Stricker:
LRPD: Long Range 3D Pedestrian Detection Leveraging Specific Strengths of LiDAR and RGB. CoRR abs/2006.09738 (2020) - [i18]Rishav, René Schuster, Ramy Battrawy, Oliver Wasenmüller, Didier Stricker:
ResFPN: Residual Skip Connections in Multi-Resolution Feature Pyramid Networks for Accurate Dense Pixel Matching. CoRR abs/2006.12235 (2020) - [i17]Rishav, Ramy Battrawy, René Schuster, Oliver Wasenmüller, Didier Stricker:
DeepLiDARFlow: A Deep Learning Architecture For Scene Flow Estimation Using Monocular Camera and Sparse LiDAR. CoRR abs/2008.08136 (2020) - [i16]René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker:
SSGP: Sparse Spatial Guided Propagation for Robust and Generic Interpolation. CoRR abs/2008.09346 (2020) - [i15]Michael Fürst, Shriya T. P. Gupta, René Schuster, Oliver Wasenmüller, Didier Stricker:
HPERL: 3D Human Pose Estimation from RGB and LiDAR. CoRR abs/2010.08221 (2020)
2010 – 2019
- 2019
- [c20]Yuriy Anisimov
A Compact Light Field Camera for Real-Time Depth Estimation. CAIP (1) 2019: 52-63 - [c19]René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker
An Empirical Evaluation Study on the Training of SDC Features for Dense Pixel Matching. CVPR Workshops 2019: 1344-1352 - [c18]René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker
SDC - Stacked Dilated Convolution: A Unified Descriptor Network for Dense Matching Tasks. CVPR 2019: 2556-2565 - [c17]Yuriy Anisimov
Rapid Light Field Depth Estimation with Semi-Global Matching. ICCP 2019: 109-116 - [c16]Ramy Battrawy, René Schuster, Oliver Wasenmüller, Qing Rao, Didier Stricker:
LiDAR-Flow: Dense Scene Flow Estimation from Sparse LiDAR and Stereo Images. IROS 2019: 7762-7769 - [c15]Rohan Saxena, René Schuster, Oliver Wasenmüller, Didier Stricker
PWOC-3D: Deep Occlusion-Aware End-to-End Scene Flow Estimation. IV 2019: 324-331 - [c14]Queens Maria Thomas, Oliver Wasenmüller, Didier Stricker
DeLiO: Decoupled LiDAR Odometry. IV 2019: 1549-1556 - [e1]Hans-Joachim Hof, Mario Fritz, Christoph Krauß, Oliver Wasenmüller:
ACM Computer Science in Cars Symposium, German Research Center for Artificial Intelligence, Kaiserslautern, Germany, October 8, 2019. ACM 2019, ISBN 978-1-4503-7004-2 [contents] - [i14]René Schuster, Oliver Wasenmüller, Christian Unger, Georg Kuschk, Didier Stricker:
SceneFlowFields++: Multi-frame Matching, Visibility Prediction, and Robust Interpolation for Scene Flow Estimation. CoRR abs/1902.10099 (2019) - [i13]René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker:
SDC - Stacked Dilated Convolution: A Unified Descriptor Network for Dense Matching Tasks. CoRR abs/1904.03076 (2019) - [i12]Rohan Saxena, René Schuster, Oliver Wasenmüller, Didier Stricker:
PWOC-3D: Deep Occlusion-Aware End-to-End Scene Flow Estimation. CoRR abs/1904.06116 (2019) - [i11]René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker:
An Empirical Evaluation Study on the Training of SDC Features for Dense Pixel Matching. CoRR abs/1904.06167 (2019) - [i10]Queens Maria Thomas, Oliver Wasenmüller, Didier Stricker:
DeLiO: Decoupled LiDAR Odometry. CoRR abs/1904.12667 (2019) - [i9]Yuriy Anisimov, Oliver Wasenmüller, Didier Stricker:
A Compact Light Field Camera for Real-Time Depth Estimation. CoRR abs/1907.10880 (2019) - [i8]Yuriy Anisimov, Oliver Wasenmüller, Didier Stricker:
Rapid Light Field Depth Estimation with Semi-Global Matching. CoRR abs/1907.13449 (2019) - [i7]Ramy Battrawy, René Schuster, Oliver Wasenmüller, Qing Rao, Didier Stricker:
LiDAR-Flow: Dense Scene Flow Estimation from Sparse LiDAR and Stereo Images. CoRR abs/1910.14453 (2019) - 2018
- [c13]Mina Ameli, Oliver Wasenmüller, Mohammad Reza Soheili
Accelerated DNA-SLAM for RGB-D images. ICIGP 2018: 185-190 - [c12]René Schuster, Christian Bailer, Oliver Wasenmüller, Didier Stricker:
FlowFields++: Accurate Optical Flow Correspondences Meet Robust Interpolation. ICIP 2018: 1463-1467 - [c11]Tomonari Yoshida, Vladislav Golyanik, Oliver Wasenmüller, Didier Stricker
Improving Time-of-Flight Sensor for Specular Surfaces with Shape from Polarization. ICIP 2018: 1558-1562 - [c10]Patrik Feth, Mohammed Naveed Akram
Dynamic Risk Assessment for Vehicles of Higher Automation Levels by Deep Learning. SAFECOMP Workshops 2018: 535-547 - [c9]Mohammad Dawud Ansari, Stephan Krauß, Oliver Wasenmüller, Didier Stricker
ScaleNet: Scale Invariant Network for Semantic Segmentation in Urban Driving Scenes. VISIGRAPP (5: VISAPP) 2018: 399-404 - [c8]René Schuster, Oliver Wasenmüller, Georg Kuschk, Christian Bailer, Didier Stricker
SceneFlowFields: Dense Interpolation of Sparse Scene Flow Correspondences. WACV 2018: 1056-1065 - [i6]René Schuster, Christian Bailer, Oliver Wasenmüller, Didier Stricker:
Combining Stereo Disparity and Optical Flow for Basic Scene Flow. CoRR abs/1801.04720 (2018) - [i5]René Schuster, Christian Bailer, Oliver Wasenmüller, Didier Stricker:
FlowFields++: Accurate Optical Flow Correspondences Meet Robust Interpolation. CoRR abs/1805.03517 (2018) - [i4]Patrik Feth, Mohammed Naveed Akram, René Schuster, Oliver Wasenmüller:
Dynamic Risk Assessment for Vehicles of Higher Automation Levels by Deep Learning. CoRR abs/1806.07635 (2018) - [i3]René Schuster, Oliver Wasenmüller, Didier Stricker:
Dense Scene Flow from Stereo Disparity and Optical Flow. CoRR abs/1808.10146 (2018) - [i2]Oliver Wasenmüller, René Schuster, Didier Stricker, Karl Leiss, Jürger Pfister, Oleksandra Ganus, Julian Tatsch, Artem Savkin, Nikolas Brasch:
Automated Scene Flow Data Generation for Training and Verification. CoRR abs/1808.10232 (2018) - 2017
- [b1]Oliver Wasenmüller:
Towards an Accurate RGB-D Benchmark, Mapping and Odometry as well as their Applications. Kaiserslautern University of Technology, Germany, Dr. Hut 2017, ISBN 978-3-8439-3318-6, pp. 1-186 - [c7]Tomonari Yoshida, Oliver Wasenmüller, Didier Stricker
Time-of-flight sensor depth enhancement for automotive exhaust gas. ICIP 2017: 1955-1959 - [c6]Oliver Wasenmüller, Benjamin Schenkenberger, Didier Stricker
Towards Non-rigid Reconstruction - How to Adapt Rigid RGB-D Reconstruction to Non-rigid Movements?. VISIGRAPP (6: VISAPP) 2017: 294-299 - [i1]René Schuster, Oliver Wasenmüller, Georg Kuschk, Christian Bailer, Didier Stricker:
SceneFlowFields: Dense Interpolation of Sparse Scene Flow Correspondences. CoRR abs/1710.10096 (2017) - 2016
- [c5]Oliver Wasenmüller, Didier Stricker
Comparison of Kinect V1 and V2 Depth Images in Terms of Accuracy and Precision. ACCV Workshops (2) 2016: 34-45 - [c4]Oliver Wasenmüller, Mohammad Dawud Ansari, Didier Stricker
DNA-SLAM: Dense Noise Aware SLAM for ToF RGB-D Cameras. ACCV Workshops (1) 2016: 613-629 - [c3]Oliver Wasenmüller, Marcel Meyer, Didier Stricker
Augmented Reality 3D Discrepancy Check in Industrial Applications. ISMAR 2016: 125-134 - [c2]Oliver Wasenmüller, Marcel Meyer, Didier Stricker
CoRBS: Comprehensive RGB-D benchmark for SLAM using Kinect v2. WACV 2016: 1-7 - 2015
- [j1]Oliver Wasenmüller, Gabriele Bleser, Didier Stricker:
Joint Bilateral Mesh Denoising using Color Information and Local Anti-Shrinking. J. WSCG 23(1): 27-34 (2015) - [c1]Oliver Wasenmüller, Gabriele Bleser, Didier Stricker
Combined Bilateral Filter for Enhanced Real-time Upsampling of Depth Images. VISAPP (1) 2015: 5-12
Coauthor Index
[i33] [j4] [c36] [c35] [i30] [i29] [c30] [c29] [c28] [i26] [i25] [j3] [j2] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [c13] [c12] [c11] [c9] [c8] [i6] [i5] [i3] [i2] [c7] [c6] [i1] [c5] [c4] [c3] [c2] [j1] [c1]
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last updated on 2024-11-20 21:00 CET by the dblp team
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