René Schuster

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 62

Top Topics

Cultural Heritage

Object Detection

Stereo Sequences

Fusion Framework

Top Venues

Publications

Katharina Bendig, René Schuster, Didier Stricker
ShapeAug: Occlusion Augmentation for Event Camera Data. CoRR (2024)
Ramy Battrawy, René Schuster, Didier Stricker
RMS-FlowNet++: Efficient and Robust Multi-Scale Scene Flow Estimation for Large-Scale Point Clouds. CoRR (2024)
Ramy Battrawy, René Schuster, Didier Stricker
EgoFlowNet: Non-Rigid Scene Flow from Point Clouds with Ego-Motion Support. CoRR (2024)
Shishir Muralidhara, Sravan Kumar Jagadeesh, René Schuster, Didier Stricker
JPPF: Multi-task Fusion for Consistent Panoptic-Part Segmentation. SN Comput. Sci. 5 (1) (2024)
Katharina Bendig, René Schuster, Didier Stricker
ShapeAug: Occlusion Augmentation for Event Camera Data. ICPRAM (2024)
Shishir Muralidhara, Saqib Bukhari, Georg Schneider, Didier Stricker, René Schuster
CLEO: Continual Learning of Evolving Ontologies. CoRR (2024)
Michael Fürst, Rahul Jakkamsetty, René Schuster, Didier Stricker
Learned Fusion: 3D Object Detection Using Calibration-Free Transformer Feature Fusion. ICPRAM (2024)
Shishir Muralidhara, Sravan Kumar Jagadeesh, René Schuster, Didier Stricker
JPPF: Multi-task Fusion for Consistent Panoptic-Part Segmentation. CoRR (2023)
Christian Witte, René Schuster, Syed Saqib Bukhari, Patrick Trampert, Didier Stricker, Georg Schneider
Severity of Catastrophic Forgetting in Object Detection for Autonomous Driving. ICPRAM (2023)
Dipam Goswami, René Schuster, Joost van de Weijer, Didier Stricker
Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation. WACV (2023)
Katharina Bendig, René Schuster, Didier Stricker
On the Future of Training Spiking Neural Networks. ICPRAM (2023)
Ramy Battrawy, René Schuster, Didier Stricker
EgoFlowNet: Non-Rigid Scene Flow from Point Clouds with Ego-Motion Support. BMVC (2023)
Michael Fürst, Rahul Jakkamsetty, René Schuster, Didier Stricker
Learned Fusion: 3D Object Detection using Calibration-Free Transformer Feature Fusion. CoRR (2023)
Sravan Kumar Jagadeesh, René Schuster, Didier Stricker
Multi-task Fusion for Efficient Panoptic-Part Segmentation. ICPRAM (2023)
Ankit Sonthalia, Ramy Battrawy, René Schuster, Didier Stricker
EvLiDAR-Flow: Attention-Guided Fusion Between Point Clouds and Events for Scene Flow Estimation. ICPRAM (2023)
Michael Reiner, Marco Nemetz, Sandra Pfiel, Florian Tiefenbacher, Matej Hopp, René Schuster
NOEDIKOM - The Digitization of Cultural Heritage/gems in Municipalities in Lower Austrian. EuroSPI (2022)
Katharina Bendig, René Schuster, Didier Stricker
Self-SuperFlow: Self-supervised Scene Flow Prediction in Stereo Sequences. CoRR (2022)
Michael Fürst, Priyash Bhugra, René Schuster, Didier Stricker
Object Permanence in Object Detection Leveraging Temporal Priors at Inference Time. CoRR (2022)
Marco Nemetz, Sandra Pfiel, Reinhard Altenburger, Florian Tiefenbacher, Matej Hopp, René Schuster, Michael Reiner
Train@Train - A Case Study of Using Immersive Learning Environments for Health and Safety Training for the Austrian Railway Company. EuroSPI (2022)
Dipam Goswami, René Schuster, Joost van de Weijer, Didier Stricker
Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation. CoRR (2022)
Ramy Battrawy, René Schuster, Mohammad-Ali Nikouei Mahani, Didier Stricker
RMS-FlowNet: Efficient and Robust Multi-Scale Scene Flow Estimation for Large-Scale Point Clouds. ICRA (2022)
Ramy Battrawy, René Schuster, Mohammad-Ali Nikouei Mahani, Didier Stricker
RMS-FlowNet: Efficient and Robust Multi-Scale Scene Flow Estimation for Large-Scale Point Clouds. CoRR (2022)
Katharina Bendig, René Schuster, Didier Stricker
Self-Superflow: Self-Supervised Scene Flow Prediction in Stereo Sequences. ICIP (2022)
Marco Nemetz, Sandra Pfiel, Reinhard Altenburger, Florian Tiefenbacher, Matej Hopp, René Schuster, Michael Reiner
VRWalk - a Case Study Regarding Different Movement Options in Virtual Reality. EuroSPI (2022)
Sravan Kumar Jagadeesh, René Schuster, Didier Stricker
Multi-task Fusion for Efficient Panoptic-Part Segmentation. CoRR (2022)
Michael Fürst, Priyash Bhugra, René Schuster, Didier Stricker
Object Permanence in Object Detection Leveraging Temporal Priors at Inference Time. ICPR (2022)
René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker
SSGP: Sparse Spatial Guided Propagation for Robust and Generic Interpolation. WACV (2021)
Kumail Raza, René Schuster, Didier Stricker
Multi-scale Iterative Residuals for Fast and Scalable Stereo Matching. CoRR (2021)
René Schuster, Christian Unger, Didier Stricker
A Deep Temporal Fusion Framework for Scene Flow Using a Learnable Motion Model and Occlusions. WACV (2021)
Syed Muhammad Kumail Raza, René Schuster, Didier Stricker
Multi-scale Iterative Residuals for Fast and Scalable Stereo Matching. CSCS (2021)
Sandra Pfiel, Helena Lovasz-Bukvova, Florian Tiefenbacher, Matej Hopp, René Schuster, Michael Reiner, Deepak Dhungana
Virtual Reality Applications for Experiential Tourism - Curator Application for Museum Visitors. EuroSPI (2021)
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)
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 (2020)
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)
René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker
SSGP: Sparse Spatial Guided Propagation for Robust and Generic Interpolation. CoRR (2020)
René Schuster, Christian Unger, Didier Stricker
MonoComb: A Sparse-to-Dense Combination Approach for Monocular Scene Flow. CoRR (2020)
Michael Fürst, Shriya T. P. Gupta, René Schuster, Oliver Wasenmüller, Didier Stricker
HPERL: 3D Human Pose Estimation from RGB and LiDAR. ICPR (2020)
René Schuster, Christian Unger, Didier Stricker
A Deep Temporal Fusion Framework for Scene Flow Using a Learnable Motion Model and Occlusions. CoRR (2020)
Natalie Horvath, Sandra Pfiel, Florian Tiefenbacher, René Schuster, Michael Reiner
Analysis of Improvement Potentials in Current Virtual Reality Applications by Using Different Ways of Locomotion. EuroSPI (2020)
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 (2020)
René Schuster, Didier Stricker, Christian Unger
MonoComb: A Sparse-to-Dense Combination Approach for Monocular Scene Flow. CSCS (2020)
Michael Fürst, Shriya T. P. Gupta, René Schuster, Oliver Wasenmüller, Didier Stricker
HPERL: 3D Human Pose Estimation from RGB and LiDAR. CoRR (2020)
René Schuster, Oliver Wasenmüller, Christian Unger, Georg Kuschk, Didier Stricker
SceneFlowFields++: Multi-frame Matching, Visibility Prediction, and Robust Interpolation for Scene Flow Estimation. Int. J. Comput. Vis. 128 (2) (2020)
Ramy Battrawy, René Schuster, Oliver Wasenmüller, Qing Rao, Didier Stricker
deepRGBXYZ: Dense Pixel Description Utilizing RGB and Depth with Stacked Dilated Convolutions. ITSC (2020)
Ramy Battrawy, René Schuster, Oliver Wasenmüller, Qing Rao, Didier Stricker
LiDAR-Flow: Dense Scene Flow Estimation from Sparse LiDAR and Stereo Images. CoRR (2019)
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)
René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker
SDC - Stacked Dilated Convolution: A Unified Descriptor Network for Dense Matching Tasks. CVPR (2019)
René Schuster, Oliver Wasenmüller, Christian Unger, Georg Kuschk, Didier Stricker
SceneFlowFields++: Multi-frame Matching, Visibility Prediction, and Robust Interpolation for Scene Flow Estimation. CoRR (2019)
René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker
SDC - Stacked Dilated Convolution: A Unified Descriptor Network for Dense Matching Tasks. CoRR (2019)
Ramy Battrawy, René Schuster, Oliver Wasenmüller, Qing Rao, Didier Stricker
LiDAR-Flow: Dense Scene Flow Estimation from Sparse LiDAR and Stereo Images. IROS (2019)
René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker
An Empirical Evaluation Study on the Training of SDC Features for Dense Pixel Matching. CoRR (2019)
Rohan Saxena, René Schuster, Oliver Wasenmüller, Didier Stricker
PWOC-3D: Deep Occlusion-Aware End-to-End Scene Flow Estimation. IV (2019)
Rohan Saxena, René Schuster, Oliver Wasenmüller, Didier Stricker
PWOC-3D: Deep Occlusion-Aware End-to-End Scene Flow Estimation. CoRR (2019)
René Schuster, Christian Bailer, Oliver Wasenmüller, Didier Stricker
FlowFields++: Accurate Optical Flow Correspondences Meet Robust Interpolation. ICIP (2018)
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 (2018)
Patrik Feth, Mohammed Naveed Akram, René Schuster, Oliver Wasenmüller
Dynamic Risk Assessment for Vehicles of Higher Automation Levels by Deep Learning. SAFECOMP Workshops (2018)
Patrik Feth, Mohammed Naveed Akram, René Schuster, Oliver Wasenmüller
Dynamic Risk Assessment for Vehicles of Higher Automation Levels by Deep Learning. CoRR (2018)
René Schuster, Oliver Wasenmüller, Georg Kuschk, Christian Bailer, Didier Stricker
SceneFlowFields: Dense Interpolation of Sparse Scene Flow Correspondences. WACV (2018)
René Schuster, Christian Bailer, Oliver Wasenmüller, Didier Stricker
Combining Stereo Disparity and Optical Flow for Basic Scene Flow. CoRR (2018)
René Schuster, Oliver Wasenmüller, Didier Stricker
Dense Scene Flow from Stereo Disparity and Optical Flow. CoRR (2018)
René Schuster, Christian Bailer, Oliver Wasenmüller, Didier Stricker
FlowFields++: Accurate Optical Flow Correspondences Meet Robust Interpolation. CoRR (2018)
René Schuster, Oliver Wasenmüller, Georg Kuschk, Christian Bailer, Didier Stricker
SceneFlowFields: Dense Interpolation of Sparse Scene Flow Correspondences. CoRR (2017)
Roland Mörzinger, René Schuster, Andras Horti, Georg Thallinger
Visual Structure Analysis of Flow Charts in Patent Images. CLEF (Online Working Notes/Labs/Workshop) (2012)
Mihai Lupu, René Schuster, Roland Mörzinger, Florina Piroi, Tobias Schleser, Allan Hanbury
Patent images - a glass-encased tool: opening the case. I-KNOW (2012)
Josef A. Birchbauer, Samuel Schulter, René Schuster, Georg Poier, Martin Winter, Peter Schallauer, Peter M. Roth, Horst Bischof
AVSS 2011 demo session: OUTLIER - online learning and visualization of unusual events. AVSS (2011)
René Schuster, Samuel Schulter, Georg Poier, Martin Hirzer, Josef A. Birchbauer, Peter M. Roth, Horst Bischof, Martin Winter, Peter Schallauer
Multi-cue learning and visualization of unusual events. ICCV Workshops (2011)
René Schuster, Roland Mörzinger, Werner Haas, Helmut Grabner, Luc Van Gool
Real-time detection of unusual regions in image streams. ACM Multimedia (2010)
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
Tools for semi-automatic monitoring of industrial workflows. ARTEMIS@ACM Multimedia (2010)