Tools for semi-automatic monitoring of industrial workflows. - Roland Mörzinger; Manolis Sardis; Igor Rosenberg; Helmut Grabner; Galina V. Veres; Imed Bouchrika; Marcus Thaler; René Schuster; Albert Hofmann; Georg Thallinger; Vasileios Anagnostopoulos; Dimitrios I. Kosmopoulos; et al. (ARTEMIS@ACM Multimedia, 2010)

Real-time detection of unusual regions in image streams. - René Schuster; Roland Mörzinger; Werner Haas 001; Helmut Grabner; Luc Van Gool (ACM Multimedia, 2010)

AVSS 2011 demo session: OUTLIER - online learning and visualization of unusual events. - Josef A. Birchbauer; Samuel Schulter; René Schuster; Georg Poier; Martin Winter; Peter Schallauer; Peter M. Roth; Horst Bischof (AVSS, 2011)

Multi-cue learning and visualization of unusual events. - René Schuster; Samuel Schulter; Georg Poier; Martin Hirzer; Josef A. Birchbauer; Peter M. Roth; Horst Bischof; Martin Winter; Peter Schallauer (ICCV Workshops, 2011)

Visual Structure Analysis of Flow Charts in Patent Images. - Roland Mörzinger; René Schuster; Andras Horti; Georg Thallinger (CLEF (Online Working Notes/Labs/Workshop), 2012)

Patent images - a glass-encased tool: opening the case. - Mihai Lupu; René Schuster; Roland Mörzinger; Florina Piroi; Tobias Schleser; Allan Hanbury (I-KNOW, 2012)

FlowFields++: Accurate Optical Flow Correspondences Meet Robust Interpolation. - René Schuster; Christian Bailer; 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)

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)

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)

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)

MonoComb: A Sparse-to-Dense Combination Approach for Monocular Scene Flow. - René Schuster; Didier Stricker; Christian Unger (CSCS, 2020)

Analysis of Improvement Potentials in Current Virtual Reality Applications by Using Different Ways of Locomotion. - Natalie Horvath; Sandra Pfiel; Florian Tiefenbacher; René Schuster; Michael Reiner (EuroSPI, 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)

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)

Multi-scale Iterative Residuals for Fast and Scalable Stereo Matching. - Syed Muhammad Kumail Raza; René Schuster; Didier Stricker (CSCS, 2021)

Virtual Reality Applications for Experiential Tourism - Curator Application for Museum Visitors. - Sandra Pfiel; Helena Lovasz-Bukvova; Florian Tiefenbacher; Matej Hopp; René Schuster; Michael Reiner; Deepak Dhungana (EuroSPI, 2021)

A Deep Temporal Fusion Framework for Scene Flow Using a Learnable Motion Model and Occlusions. - René Schuster; Christian Unger; Didier Stricker (WACV, 2021)

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

Train@Train - A Case Study of Using Immersive Learning Environments for Health and Safety Training for the Austrian Railway Company. - Marco Nemetz; Sandra Pfiel; Reinhard Altenburger; Florian Tiefenbacher; Matej Hopp; René Schuster; Michael Reiner (EuroSPI, 2022)

VRWalk - a Case Study Regarding Different Movement Options in Virtual Reality. - Marco Nemetz; Sandra Pfiel; Reinhard Altenburger; Florian Tiefenbacher; Matej Hopp; René Schuster; Michael Reiner (EuroSPI, 2022)

NOEDIKOM - The Digitization of Cultural Heritage/gems in Municipalities in Lower Austrian. - Michael Reiner; Marco Nemetz; Sandra Pfiel; Florian Tiefenbacher; Matej Hopp; René Schuster (EuroSPI, 2022)

Self-Superflow: Self-Supervised Scene Flow Prediction in Stereo Sequences. - Katharina Bendig; René Schuster; Didier Stricker (ICIP, 2022)

Object Permanence in Object Detection Leveraging Temporal Priors at Inference Time. - Michael Fürst; Priyash Bhugra; René Schuster; Didier Stricker (ICPR, 2022)

RMS-FlowNet: Efficient and Robust Multi-Scale Scene Flow Estimation for Large-Scale Point Clouds. - Ramy Battrawy; René Schuster; Mohammad-Ali Nikouei Mahani; Didier Stricker (ICRA, 2022)

Data-driven and Sparse-to-Dense Concepts in Scene Flow Estimation for Automotive Applications. - René Schuster (Dr. Hut, 2022)

EgoFlowNet: Non-Rigid Scene Flow from Point Clouds with Ego-Motion Support. - Ramy Battrawy; René Schuster; Didier Stricker (BMVC, 2023)

On the Future of Training Spiking Neural Networks. - Katharina Bendig; René Schuster; Didier Stricker (ICPRAM, 2023)

Multi-task Fusion for Efficient Panoptic-Part Segmentation. - Sravan Kumar Jagadeesh; René Schuster; Didier Stricker (ICPRAM, 2023)

EvLiDAR-Flow: Attention-Guided Fusion Between Point Clouds and Events for Scene Flow Estimation. - Ankit Sonthalia; Ramy Battrawy; René Schuster; Didier Stricker (ICPRAM, 2023)

Severity of Catastrophic Forgetting in Object Detection for Autonomous Driving. - Christian Witte; René Schuster; Syed Saqib Bukhari; Patrick Trampert; Didier Stricker; Georg Schneider 008 (ICPRAM, 2023)

Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation. - Dipam Goswami; René Schuster; Joost van de Weijer 001; Didier Stricker (WACV, 2023)

CLEO: Continual Learning of Evolving Ontologies. - Shishir Muralidhara; Saqib Bukhari; Georg Schneider 008; Didier Stricker; René Schuster (ECCV (54), 2024)

ShapeAug: Occlusion Augmentation for Event Camera Data. - Katharina Bendig; René Schuster; Didier Stricker (ICPRAM, 2024)

Learned Fusion: 3D Object Detection Using Calibration-Free Transformer Feature Fusion. - Michael Fürst; Rahul Jakkamsetty; René Schuster; Didier Stricker (ICPRAM, 2024)

ShapeAug++: More Realistic Shape Augmentation for Event Data. - Katharina Bendig; René Schuster; Didier Stricker (CoRR, 2024)

AnonyNoise: Anonymizing Event Data with Smart Noise to Outsmart Re-Identification and Preserve Privacy. - Katharina Bendig; René Schuster; Nicole Thiemer; Karen Joisten; Didier Stricker (CoRR, 2024)

JPPF: Multi-task Fusion for Consistent Panoptic-Part Segmentation. - Shishir Muralidhara; Sravan Kumar Jagadeesh; René Schuster; Didier Stricker (SN Comput. Sci., 2024)

RMS-FlowNet++: Efficient and Robust Multi-scale Scene Flow Estimation for Large-Scale Point Clouds. - Ramy Battrawy; René Schuster; Didier Stricker (Int. J. Comput. Vis., 2024)

Domain-Incremental Semantic Segmentation for Autonomous Driving Under Adverse Driving Conditions. - Shishir Muralidhara; René Schuster; Didier Stricker (ICPRAM, 2025)

Supplementary Material AnonyNoise: Anonymizing Event Data with Smart Noise to Outsmart Re-Identification and Preserve Privacy. - Katharina Bendig; René Schuster; Nicole Thiemer; Karen Joisten; Didier Stricker (WACV, 2025)

Modality-Incremental Learning with Disjoint Relevance Mapping Networks for Image-Based Semantic Segmentation. - Niharika Hegde; Shishir Muralidhara; René Schuster; Didier Stricker (WACV, 2025)

CLoRA: Parameter-Efficient Continual Learning with Low-Rank Adaptation. - Shishir Muralidhara; Didier Stricker; René Schuster (CoRR, 2025)