René Schuster

According to our database, René Schuster authored at least 43 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

JPPF: Multi-task Fusion for Consistent Panoptic-Part Segmentation.

Shishir Muralidhara, Sravan Kumar Jagadeesh, René Schuster, Didier Stricker

SN Comput. Sci., January, 2024

Learned Fusion: 3D Object Detection Using Calibration-Free Transformer Feature Fusion.

Michael Fürst, Rahul Jakkamsetty, René Schuster, Didier Stricker

Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, 2024

ShapeAug: Occlusion Augmentation for Event Camera Data.

Katharina Bendig, René Schuster, Didier Stricker

Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, 2024

2023

Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation.

Dipam Goswami, René Schuster, Joost van de Weijer, Didier Stricker

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Severity of Catastrophic Forgetting in Object Detection for Autonomous Driving.

Christian Witte, René Schuster, Syed Saqib Bukhari, Patrick Trampert, Didier Stricker, Georg Schneider

Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods, 2023

EvLiDAR-Flow: Attention-Guided Fusion Between Point Clouds and Events for Scene Flow Estimation.

Ankit Sonthalia, Ramy Battrawy, René Schuster, Didier Stricker

Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods, 2023

Multi-task Fusion for Efficient Panoptic-Part Segmentation.

Sravan Kumar Jagadeesh, René Schuster, Didier Stricker

Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods, 2023

On the Future of Training Spiking Neural Networks.

Katharina Bendig, René Schuster, Didier Stricker

Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods, 2023

EgoFlowNet: Non-Rigid Scene Flow from Point Clouds with Ego-Motion Support.

Ramy Battrawy, René Schuster, Didier Stricker

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

Data-driven and Sparse-to-Dense Concepts in Scene Flow Estimation for Automotive Applications.

René Schuster

PhD thesis, 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

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Object Permanence in Object Detection Leveraging Temporal Priors at Inference Time.

Michael Fürst, Priyash Bhugra, René Schuster, Didier Stricker

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Self-Superflow: Self-Supervised Scene Flow Prediction in Stereo Sequences.

Katharina Bendig, René Schuster, Didier Stricker

Proceedings of the 2022 IEEE International Conference on Image Processing, 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

Proceedings of the Systems, Software and Services Process Improvement, 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

Proceedings of the Systems, Software and Services Process Improvement, 2022

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

Proceedings of the Systems, Software and Services Process Improvement, 2022

2021

SSGP: Sparse Spatial Guided Propagation for Robust and Generic Interpolation.

René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

A Deep Temporal Fusion Framework for Scene Flow Using a Learnable Motion Model and Occlusions.

René Schuster, Christian Unger, Didier Stricker

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 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

Proceedings of the Systems, Software and Services Process Improvement, 2021

Multi-scale Iterative Residuals for Fast and Scalable Stereo Matching.

Syed Muhammad Kumail Raza, René Schuster, Didier Stricker

Proceedings of the CSCS '21: Computer Science in Cars Symposium, 2021

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

deepRGBXYZ: Dense Pixel Description Utilizing RGB and Depth with Stacked Dilated Convolutions.

Ramy Battrawy, René Schuster, Oliver Wasenmüller, Qing Rao, Didier Stricker

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 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

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 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

Proceedings of the 25th International Conference on Pattern Recognition, 2020

HPERL: 3D Human Pose Estimation from RGB and LiDAR.

Michael Fürst, Shriya T. P. Gupta, René Schuster, Oliver Wasenmüller, Didier Stricker

Proceedings of the 25th International Conference on Pattern Recognition, 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

Proceedings of the Systems, Software and Services Process Improvement, 2020

MonoComb: A Sparse-to-Dense Combination Approach for Monocular Scene Flow.

René Schuster, Didier Stricker, Christian Unger

Proceedings of the CSCS '20: Computer Science in Cars Symposium, 2020

2019

PWOC-3D: Deep Occlusion-Aware End-to-End Scene Flow Estimation.

Rohan Saxena, René Schuster, Oliver Wasenmüller, Didier Stricker

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

LiDAR-Flow: Dense Scene Flow Estimation from Sparse LiDAR and Stereo Images.

Ramy Battrawy, René Schuster, Oliver Wasenmüller, Qing Rao, Didier Stricker

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

An Empirical Evaluation Study on the Training of SDC Features for Dense Pixel Matching.

René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

SDC - Stacked Dilated Convolution: A Unified Descriptor Network for Dense Matching Tasks.

René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

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

Dense Scene Flow from Stereo Disparity and Optical Flow.

René Schuster, Oliver Wasenmüller, Didier Stricker

CoRR, 2018

Combining Stereo Disparity and Optical Flow for Basic Scene Flow.

René Schuster, Christian Bailer, Oliver Wasenmüller, Didier Stricker

CoRR, 2018

SceneFlowFields: Dense Interpolation of Sparse Scene Flow Correspondences.

René Schuster, Oliver Wasenmüller, Georg Kuschk, Christian Bailer, Didier Stricker

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Dynamic Risk Assessment for Vehicles of Higher Automation Levels by Deep Learning.

Patrik Feth, Mohammed Naveed Akram, René Schuster, Oliver Wasenmüller

Proceedings of the Computer Safety, Reliability, and Security, 2018

FlowFields++: Accurate Optical Flow Correspondences Meet Robust Interpolation.

René Schuster, Christian Bailer, Oliver Wasenmüller, Didier Stricker

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2012

Patent images - a glass-encased tool: opening the case.

Mihai Lupu, René Schuster, Roland Mörzinger, Florina Piroi, Tobias Schleser, Allan Hanbury

Proceedings of the 12th International Conference on Knowledge Management and Knowledge Technologies, 2012

Visual Structure Analysis of Flow Charts in Patent Images.

Roland Mörzinger, René Schuster, Andras Horti, Georg Thallinger

Proceedings of the CLEF 2012 Evaluation Labs and Workshop, 2012

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

Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

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

Proceedings of the 8th IEEE International Conference on Advanced Video and Signal-Based Surveillance, 2011

2010

Real-time detection of unusual regions in image streams.

René Schuster, Roland Mörzinger, Werner Haas, Helmut Grabner, Luc Van Gool

Proceedings of the 18th International Conference on Multimedia 2010, 2010

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, Athanasios Voulodimos, Constantinos Lalos, Nikolaos D. Doulamis, Theodora A. Varvarigou, Rolando Palma Zelada, Ignacio Jubert Soler, Severin Stalder, Luc Van Gool, Lee Middleton, Zoheir A. Sabeur, Banafshe Arbab-Zavar, John N. Carter, Mark S. Nixon

Proceedings of the first ACM international workshop on Analysis and retrieval of tracked events and motion in imagery streams, 2010