Combined Bilateral Filter for Enhanced Real-time Upsampling of Depth Images. - Oliver Wasenmüller; Gabriele Bleser; Didier Stricker (VISAPP (1), 2015)

Joint Bilateral Mesh Denoising using Color Information and Local Anti-Shrinking. - Oliver Wasenmüller; Gabriele Bleser; Didier Stricker (J. WSCG, 2015)

DNA-SLAM: Dense Noise Aware SLAM for ToF RGB-D Cameras. - Oliver Wasenmüller; Mohammad Dawud Ansari; Didier Stricker (ACCV Workshops (1), 2016)

Comparison of Kinect V1 and V2 Depth Images in Terms of Accuracy and Precision. - Oliver Wasenmüller; Didier Stricker (ACCV Workshops (2), 2016)

Augmented Reality 3D Discrepancy Check in Industrial Applications. - Oliver Wasenmüller; Marcel Meyer; Didier Stricker (ISMAR, 2016)

CoRBS: Comprehensive RGB-D benchmark for SLAM using Kinect v2. - Oliver Wasenmüller; Marcel Meyer; Didier Stricker (WACV, 2016)

Time-of-flight sensor depth enhancement for automotive exhaust gas. - Tomonari Yoshida; Oliver Wasenmüller; Didier Stricker (ICIP, 2017)

Towards Non-rigid Reconstruction - How to Adapt Rigid RGB-D Reconstruction to Non-rigid Movements?. - Oliver Wasenmüller; Benjamin Schenkenberger; Didier Stricker (VISIGRAPP (6: VISAPP), 2017)

Towards an Accurate RGB-D Benchmark, Mapping and Odometry as well as their Applications. - Oliver Wasenmüller (Dr. Hut, 2017)

Accelerated DNA-SLAM for RGB-D images. - Mina Ameli; Oliver Wasenmüller; Mohammad Reza Soheili; Jamshid Shanbehzadeh; Didier Stricker (ICIGP, 2018)

FlowFields++: Accurate Optical Flow Correspondences Meet Robust Interpolation. - René Schuster; Christian Bailer; Oliver Wasenmüller; Didier Stricker (ICIP, 2018)

Improving Time-of-Flight Sensor for Specular Surfaces with Shape from Polarization. - Tomonari Yoshida; Vladislav Golyanik; Oliver Wasenmüller; Didier Stricker (ICIP, 2018)

Dynamic Risk Assessment for Vehicles of Higher Automation Levels by Deep Learning. - Patrik Feth; Mohammed Naveed Akram; René Schuster; Oliver Wasenmüller (SAFECOMP Workshops, 2018)

ScaleNet: Scale Invariant Network for Semantic Segmentation in Urban Driving Scenes. - Mohammad Dawud Ansari; Stephan Krauß; Oliver Wasenmüller; Didier Stricker (VISIGRAPP (5: VISAPP), 2018)

SceneFlowFields: Dense Interpolation of Sparse Scene Flow Correspondences. - René Schuster; Oliver Wasenmüller; Georg Kuschk; Christian Bailer; Didier Stricker (WACV, 2018)

Combining Stereo Disparity and Optical Flow for Basic Scene Flow. - René Schuster; Christian Bailer; Oliver Wasenmüller; Didier Stricker (CoRR, 2018)

Dense Scene Flow from Stereo Disparity and Optical Flow. - René Schuster; Oliver Wasenmüller; Didier Stricker (CoRR, 2018)

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 (CoRR, 2018)

A Compact Light Field Camera for Real-Time Depth Estimation. - Yuriy Anisimov; Oliver Wasenmüller; Didier Stricker (CAIP (1), 2019)

SDC - Stacked Dilated Convolution: A Unified Descriptor Network for Dense Matching Tasks. - René Schuster; Oliver Wasenmüller; Christian Unger; Didier Stricker (CVPR, 2019)

An Empirical Evaluation Study on the Training of SDC Features for Dense Pixel Matching. - René Schuster; Oliver Wasenmüller; Christian Unger; Didier Stricker (CVPR Workshops, 2019)

Rapid Light Field Depth Estimation with Semi-Global Matching. - Yuriy Anisimov; Oliver Wasenmüller; Didier Stricker (ICCP, 2019)

LiDAR-Flow: Dense Scene Flow Estimation from Sparse LiDAR and Stereo Images. - Ramy Battrawy; René Schuster; Oliver Wasenmüller; Qing Rao; Didier Stricker (IROS, 2019)

PWOC-3D: Deep Occlusion-Aware End-to-End Scene Flow Estimation. - Rohan Saxena; René Schuster; Oliver Wasenmüller; Didier Stricker (IV, 2019)

DeLiO: Decoupled LiDAR Odometry. - Queens Maria Thomas; Oliver Wasenmüller; Didier Stricker (IV, 2019)

Ghost Target Detection in 3D Radar Data using Point Cloud based Deep Neural Network. - Mahdi Chamseddine; Jason R. Rambach; Didier Stricker; Oliver Wasenmüller (ICPR, 2020)

HPERL: 3D Human Pose Estimation from RGB and LiDAR. - Michael Fürst; Shriya T. P. Gupta; René Schuster; Oliver Wasenmüller; Didier Stricker (ICPR, 2020)

ResFPN: Residual Skip Connections in Multi-Resolution Feature Pyramid Networks for Accurate Dense Pixel Matching. - Rishav; René Schuster; Ramy Battrawy; Oliver Wasenmüller; Didier Stricker (ICPR, 2020)

DeepLiDARFlow: A Deep Learning Architecture For Scene Flow Estimation Using Monocular Camera and Sparse LiDAR. - Rishav; Ramy Battrawy; René Schuster; Oliver Wasenmüller; Didier Stricker (IROS, 2020)

deepRGBXYZ: Dense Pixel Description Utilizing RGB and Depth with Stacked Dilated Convolutions. - Ramy Battrawy; René Schuster; Oliver Wasenmüller; Qing Rao; Didier Stricker (ITSC, 2020)

LRPD: Long Range 3D Pedestrian Detection Leveraging Specific Strengths of LiDAR and RGB. - Michael Fürst; Oliver Wasenmüller; Didier Stricker (ITSC, 2020)

SVIRO: Synthetic Vehicle Interior Rear Seat Occupancy Dataset and Benchmark. - Steve Dias Da Cruz; Oliver Wasenmüller; Hans-Peter Beise; Thomas Stifter; Didier Stricker (WACV, 2020)

DFKI Cabin Simulator: A Test Platform for Visual In-Cabin Monitoring Functions. - Hartmut Feld; Bruno Mirbach; Jigyasa Katrolia; Mohamed Selim; Oliver Wasenmüller; Didier Stricker (CoRR, 2020)

SceneFlowFields++: Multi-frame Matching, Visibility Prediction, and Robust Interpolation for Scene Flow Estimation. - René Schuster; Oliver Wasenmüller; Christian Unger; Georg Kuschk; Didier Stricker (Int. J. Comput. Vis., 2020)

OPEDD: Offroad Pedestrian Detection Dataset. - Peter Neigel; Mina Ameli; Jigyasa Katrolia; Hartmut Feld; Oliver Wasenmüller; Didier Stricker (J. WSCG, 2020)

DVMN: Dense Validity Mask Network for Depth Completion. - Laurenz Reichardt; Patrick Mangat; Oliver Wasenmüller (ITSC, 2021)

PDC: Piecewise Depth Completion utilizing Superpixels. - Dennis Teutscher; Patrick Mangat; Oliver Wasenmüller (ITSC, 2021)

Autoencoder Based Inter-Vehicle Generalization for In-Cabin Occupant Classification. - Steve Dias Da Cruz; Bertram Taetz; Oliver Wasenmüller; Thomas Stifter; Didier Stricker (IV, 2021)

SALT: A Semi-automatic Labeling Tool for RGB-D Video Sequences. - Dennis Stumpf; Stephan Krauß; Gerd Reis; Oliver Wasenmüller; Didier Stricker (VISIGRAPP (4: VISAPP), 2021)

SSGP: Sparse Spatial Guided Propagation for Robust and Generic Interpolation. - René Schuster; Oliver Wasenmüller; Christian Unger; Didier Stricker (WACV, 2021)

Detection of Driver Drowsiness by Calculating the Speed of Eye Blinking. - Muhammad Fawwaz Yusri; Patrick Mangat; Oliver Wasenmüller (CoRR, 2021)

Mixed Reality User Interface for a Hybrid Operation Room. - Johannes Hemm; Oliver Wasenmüller; Marius Siegfarth; Armin Schäfer (ISMAR Adjunct, 2022)

Multitask Network for Joint Object Detection, Semantic Segmentation and Human Pose Estimation in Vehicle Occupancy Monitoring. - Nikolas Ebert; Patrick Mangat; Oliver Wasenmüller (IV, 2022)

Transformer-based Detection of Microorganisms on High-Resolution Petri Dish Images. - Nikolas Ebert; Didier Stricker; Oliver Wasenmüller (ICCV (Workshops), 2023)

360° from a Single Camera: A Few-Shot Approach for LiDAR Segmentation. - Laurenz Reichardt; Nikolas Ebert; Oliver Wasenmüller (ICCV (Workshops), 2023)

Light-Weight Vision Transformer with Parallel Local and Global Self-Attention. - Nikolas Ebert; Laurenz Reichardt; Didier Stricker; Oliver Wasenmüller (ITSC, 2023)

PLG-ViT: Vision Transformer with Parallel Local and Global Self-Attention. - Nikolas Ebert; Didier Stricker; Oliver Wasenmüller (Sensors, 2023)

Boosting Few-Shot Detection with Large Language Models and Layout-to-Image Synthesis. - Ahmed Abdullah; Nikolas Ebert; Oliver Wasenmüller (ACCV (7), 2024)

GenFormer - Generated Images Are All You Need to Improve Robustness of Transformers on Small Datasets. - Sven Oehri; Nikolas Ebert; Ahmed Abdullah; Didier Stricker; Oliver Wasenmüller (ICPR (2), 2024)

Text3DAug - Prompted Instance Augmentation for LiDAR Perception. - Laurenz Reichardt; Luca Uhr; Oliver Wasenmüller (IROS, 2024)

RadarPillars: Efficient Object Detection from 4D Radar Point Clouds. - Alexander Musiat; Laurenz Reichardt; Michael Schulze; Oliver Wasenmüller (ITSC, 2024)

Classifier Ensemble for Efficient Uncertainty Calibration of Deep Neural Networks for Image Classification. - Michael Schulze; Nikolas Ebert; Laurenz Reichardt; Oliver Wasenmüller (VISIGRAPP (2): VISAPP, 2025)

D-PLS: Decoupled Semantic Segmentation for 4D-Panoptic-LiDAR-Segmentation. - Maik Steinhauser; Laurenz Reichardt; Nikolas Ebert; Oliver Wasenmüller (VISIGRAPP (2): VISAPP, 2025)

Enhancing robustness and generalization in microbiological few-shot detection through synthetic data generation and contrastive learning. - Nikolas Ebert; Didier Stricker; Oliver Wasenmüller (Comput. Biol. Medicine, 2025)