René Schuster

85 papers A* 3A 9B 11C 10Journal 41Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	LiREC-Net: A Target-Free and Learning-Based Network for LiDAR, RGB, and Event Calibration. CoRR Aditya Ranjan Dash, Ramy Battrawy, René Schuster, Didier Stricker
2026	J	`jnl`	SAILS: Segment Anything with Incrementally Learned Semantics for Task-Invariant and Training-Free Continual Learning. CoRR Shishir Muralidhara, Didier Stricker, René Schuster
2026	J	`jnl`	SF3D-RGB: Scene Flow Estimation from Monocular Camera and Sparse LiDAR. CoRR Rajai Alhimdiat, Ramy Battrawy, René Schuster, Didier Stricker, Wesam Ashour
2026	C	`conf`	Sensor Generalization for Adaptive Sensing in Event-Based Object Detection via Joint Distribution Training. ICPRAM Aheli Saha, René Schuster, Didier Stricker
2026	J	`jnl`	Sensor Generalization for Adaptive Sensing in Event-based Object Detection via Joint Distribution Training. CoRR Aheli Saha, René Schuster, Didier Stricker
2025	J	`jnl`	CLoRA: Parameter-Efficient Continual Learning with Low-Rank Adaptation. CoRR Shishir Muralidhara, Didier Stricker, René Schuster
2025	C	`conf`	Domain-Incremental Semantic Segmentation for Autonomous Driving Under Adverse Driving Conditions. ICPRAM Shishir Muralidhara, René Schuster, Didier Stricker
2025	J	`jnl`	Domain-Incremental Semantic Segmentation for Autonomous Driving under Adverse Driving Conditions. CoRR Shishir Muralidhara, René Schuster, Didier Stricker
2025	A	`conf`	Modality-Incremental Learning with Disjoint Relevance Mapping Networks for Image-Based Semantic Segmentation. WACV Niharika Hegde, Shishir Muralidhara, René Schuster, Didier Stricker
2025	A	`conf`	Supplementary Material AnonyNoise: Anonymizing Event Data with Smart Noise to Outsmart Re-Identification and Preserve Privacy. WACV Katharina Bendig, René Schuster, Nicole Thiemer, Karen Joisten, Didier Stricker
2024	J	`jnl`	AnonyNoise: Anonymizing Event Data with Smart Noise to Outsmart Re-Identification and Preserve Privacy. CoRR Katharina Bendig, René Schuster, Nicole Thiemer, Karen Joisten, Didier Stricker
2024	—	`conf`	CLEO: Continual Learning of Evolving Ontologies. ECCV (54) Shishir Muralidhara, Saqib Bukhari, Georg Schneider, Didier Stricker, René Schuster
2024	J	`jnl`	CLEO: Continual Learning of Evolving Ontologies. CoRR Shishir Muralidhara, Saqib Bukhari, Georg Schneider, Didier Stricker, René Schuster
2024	J	`jnl`	EgoFlowNet: Non-Rigid Scene Flow from Point Clouds with Ego-Motion Support. CoRR Ramy Battrawy, René Schuster, Didier Stricker
2024	J	`jnl`	JPPF: Multi-task Fusion for Consistent Panoptic-Part Segmentation. SN Comput. Sci. Shishir Muralidhara, Sravan Kumar Jagadeesh, René Schuster, Didier Stricker
2024	C	`conf`	Learned Fusion: 3D Object Detection Using Calibration-Free Transformer Feature Fusion. ICPRAM Michael Fürst, Rahul Jakkamsetty, René Schuster, Didier Stricker
2024	J	`jnl`	Modality-Incremental Learning with Disjoint Relevance Mapping Networks for Image-based Semantic Segmentation. CoRR Niharika Hegde, Shishir Muralidhara, René Schuster, Didier Stricker
2024	J	`jnl`	RMS-FlowNet++: Efficient and Robust Multi-Scale Scene Flow Estimation for Large-Scale Point Clouds. CoRR Ramy Battrawy, René Schuster, Didier Stricker
2024	J	`jnl`	RMS-FlowNet++: Efficient and Robust Multi-scale Scene Flow Estimation for Large-Scale Point Clouds. Int. J. Comput. Vis. Ramy Battrawy, René Schuster, Didier Stricker
2024	C	`conf`	ShapeAug++: More Realistic Shape Augmentation for Event Data. ICPRAM Katharina Bendig, René Schuster, Didier Stricker
2024	J	`jnl`	ShapeAug++: More Realistic Shape Augmentation for Event Data. CoRR Katharina Bendig, René Schuster, Didier Stricker
2024	C	`conf`	ShapeAug: Occlusion Augmentation for Event Camera Data. ICPRAM Katharina Bendig, René Schuster, Didier Stricker
2024	J	`jnl`	ShapeAug: Occlusion Augmentation for Event Camera Data. CoRR Katharina Bendig, René Schuster, Didier Stricker
2023	A	`conf`	Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation. WACV Dipam Goswami, René Schuster, Joost van de Weijer, Didier Stricker
2023	A	`conf`	EgoFlowNet: Non-Rigid Scene Flow from Point Clouds with Ego-Motion Support. BMVC Ramy Battrawy, René Schuster, Didier Stricker
2023	C	`conf`	EvLiDAR-Flow: Attention-Guided Fusion Between Point Clouds and Events for Scene Flow Estimation. ICPRAM Ankit Sonthalia, Ramy Battrawy, René Schuster, Didier Stricker
2023	J	`jnl`	JPPF: Multi-task Fusion for Consistent Panoptic-Part Segmentation. CoRR Shishir Muralidhara, Sravan Kumar Jagadeesh, René Schuster, Didier Stricker
2023	J	`jnl`	Learned Fusion: 3D Object Detection using Calibration-Free Transformer Feature Fusion. CoRR Michael Fürst, Rahul Jakkamsetty, René Schuster, Didier Stricker
2023	C	`conf`	Multi-task Fusion for Efficient Panoptic-Part Segmentation. ICPRAM Sravan Kumar Jagadeesh, René Schuster, Didier Stricker
2023	C	`conf`	On the Future of Training Spiking Neural Networks. ICPRAM Katharina Bendig, René Schuster, Didier Stricker
2023	C	`conf`	Severity of Catastrophic Forgetting in Object Detection for Autonomous Driving. ICPRAM Christian Witte, René Schuster, Syed Saqib Bukhari, Patrick Trampert, Didier Stricker, Georg Schneider
2022	J	`jnl`	Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation. CoRR Dipam Goswami, René Schuster, Joost van de Weijer, Didier Stricker
2022	—	`—`	Data-driven and Sparse-to-Dense Concepts in Scene Flow Estimation for Automotive Applications. René Schuster
2022	J	`jnl`	Multi-task Fusion for Efficient Panoptic-Part Segmentation. CoRR Sravan Kumar Jagadeesh, René Schuster, Didier Stricker
2022	B	`conf`	NOEDIKOM - The Digitization of Cultural Heritage/gems in Municipalities in Lower Austrian. EuroSPI Michael Reiner, Marco Nemetz, Sandra Pfiel, Florian Tiefenbacher, Matej Hopp, René Schuster
2022	B	`conf`	Object Permanence in Object Detection Leveraging Temporal Priors at Inference Time. ICPR Michael Fürst, Priyash Bhugra, René Schuster, Didier Stricker
2022	J	`jnl`	Object Permanence in Object Detection Leveraging Temporal Priors at Inference Time. CoRR Michael Fürst, Priyash Bhugra, René Schuster, Didier Stricker
2022	A*	`conf`	RMS-FlowNet: Efficient and Robust Multi-Scale Scene Flow Estimation for Large-Scale Point Clouds. ICRA Ramy Battrawy, René Schuster, Mohammad-Ali Nikouei Mahani, Didier Stricker
2022	J	`jnl`	RMS-FlowNet: Efficient and Robust Multi-Scale Scene Flow Estimation for Large-Scale Point Clouds. CoRR Ramy Battrawy, René Schuster, Mohammad-Ali Nikouei Mahani, Didier Stricker
2022	J	`jnl`	Self-SuperFlow: Self-supervised Scene Flow Prediction in Stereo Sequences. CoRR Katharina Bendig, René Schuster, Didier Stricker
2022	B	`conf`	Self-Superflow: Self-Supervised Scene Flow Prediction in Stereo Sequences. ICIP Katharina Bendig, René Schuster, Didier Stricker
2022	B	`conf`	Train@Train - A Case Study of Using Immersive Learning Environments for Health and Safety Training for the Austrian Railway Company. EuroSPI Marco Nemetz, Sandra Pfiel, Reinhard Altenburger, Florian Tiefenbacher, Matej Hopp, René Schuster, Michael Reiner
2022	B	`conf`	VRWalk - a Case Study Regarding Different Movement Options in Virtual Reality. EuroSPI Marco Nemetz, Sandra Pfiel, Reinhard Altenburger, Florian Tiefenbacher, Matej Hopp, René Schuster, Michael Reiner
2021	A	`conf`	A Deep Temporal Fusion Framework for Scene Flow Using a Learnable Motion Model and Occlusions. WACV René Schuster, Christian Unger, Didier Stricker
2021	—	`conf`	Multi-scale Iterative Residuals for Fast and Scalable Stereo Matching. CSCS Syed Muhammad Kumail Raza, René Schuster, Didier Stricker
2021	J	`jnl`	Multi-scale Iterative Residuals for Fast and Scalable Stereo Matching. CoRR Kumail Raza, René Schuster, Didier Stricker
2021	A	`conf`	SSGP: Sparse Spatial Guided Propagation for Robust and Generic Interpolation. WACV René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker
2021	B	`conf`	Virtual Reality Applications for Experiential Tourism - Curator Application for Museum Visitors. EuroSPI Sandra Pfiel, Helena Lovasz-Bukvova, Florian Tiefenbacher, Matej Hopp, René Schuster, Michael Reiner, Deepak Dhungana
2020	J	`jnl`	A Deep Temporal Fusion Framework for Scene Flow Using a Learnable Motion Model and Occlusions. CoRR René Schuster, Christian Unger, Didier Stricker
2020	B	`conf`	Analysis of Improvement Potentials in Current Virtual Reality Applications by Using Different Ways of Locomotion. EuroSPI Natalie Horvath, Sandra Pfiel, Florian Tiefenbacher, René Schuster, Michael Reiner
2020	A	`conf`	DeepLiDARFlow: A Deep Learning Architecture For Scene Flow Estimation Using Monocular Camera and Sparse LiDAR. IROS Rishav, Ramy Battrawy, René Schuster, Oliver Wasenmüller, Didier Stricker
2020	J	`jnl`	DeepLiDARFlow: A Deep Learning Architecture For Scene Flow Estimation Using Monocular Camera and Sparse LiDAR. CoRR Rishav, Ramy Battrawy, René Schuster, Oliver Wasenmüller, Didier Stricker
2020	B	`conf`	HPERL: 3D Human Pose Estimation from RGB and LiDAR. ICPR Michael Fürst, Shriya T. P. Gupta, René Schuster, Oliver Wasenmüller, Didier Stricker
2020	J	`jnl`	HPERL: 3D Human Pose Estimation from RGB and LiDAR. CoRR Michael Fürst, Shriya T. P. Gupta, René Schuster, Oliver Wasenmüller, Didier Stricker
2020	—	`conf`	MonoComb: A Sparse-to-Dense Combination Approach for Monocular Scene Flow. CSCS René Schuster, Didier Stricker, Christian Unger
2020	J	`jnl`	MonoComb: A Sparse-to-Dense Combination Approach for Monocular Scene Flow. CoRR René Schuster, Christian Unger, Didier Stricker
2020	B	`conf`	ResFPN: Residual Skip Connections in Multi-Resolution Feature Pyramid Networks for Accurate Dense Pixel Matching. ICPR Rishav, René Schuster, Ramy Battrawy, Oliver Wasenmüller, Didier Stricker
2020	J	`jnl`	ResFPN: Residual Skip Connections in Multi-Resolution Feature Pyramid Networks for Accurate Dense Pixel Matching. CoRR Rishav, René Schuster, Ramy Battrawy, Oliver Wasenmüller, Didier Stricker
2020	J	`jnl`	SSGP: Sparse Spatial Guided Propagation for Robust and Generic Interpolation. CoRR René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker
2020	J	`jnl`	SceneFlowFields++: Multi-frame Matching, Visibility Prediction, and Robust Interpolation for Scene Flow Estimation. Int. J. Comput. Vis. René Schuster, Oliver Wasenmüller, Christian Unger, Georg Kuschk, Didier Stricker
2020	—	`conf`	deepRGBXYZ: Dense Pixel Description Utilizing RGB and Depth with Stacked Dilated Convolutions. ITSC Ramy Battrawy, René Schuster, Oliver Wasenmüller, Qing Rao, Didier Stricker
2019	—	`conf`	An Empirical Evaluation Study on the Training of SDC Features for Dense Pixel Matching. CVPR Workshops René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker
2019	J	`jnl`	An Empirical Evaluation Study on the Training of SDC Features for Dense Pixel Matching. CoRR René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker
2019	A	`conf`	LiDAR-Flow: Dense Scene Flow Estimation from Sparse LiDAR and Stereo Images. IROS Ramy Battrawy, René Schuster, Oliver Wasenmüller, Qing Rao, Didier Stricker
2019	J	`jnl`	LiDAR-Flow: Dense Scene Flow Estimation from Sparse LiDAR and Stereo Images. CoRR Ramy Battrawy, René Schuster, Oliver Wasenmüller, Qing Rao, Didier Stricker
2019	C	`conf`	PWOC-3D: Deep Occlusion-Aware End-to-End Scene Flow Estimation. IV Rohan Saxena, René Schuster, Oliver Wasenmüller, Didier Stricker
2019	J	`jnl`	PWOC-3D: Deep Occlusion-Aware End-to-End Scene Flow Estimation. CoRR Rohan Saxena, René Schuster, Oliver Wasenmüller, Didier Stricker
2019	A*	`conf`	SDC - Stacked Dilated Convolution: A Unified Descriptor Network for Dense Matching Tasks. CVPR René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker
2019	J	`jnl`	SDC - Stacked Dilated Convolution: A Unified Descriptor Network for Dense Matching Tasks. CoRR René Schuster, Oliver Wasenmüller, Christian Unger, Didier Stricker
2019	J	`jnl`	SceneFlowFields++: Multi-frame Matching, Visibility Prediction, and Robust Interpolation for Scene Flow Estimation. CoRR René Schuster, Oliver Wasenmüller, Christian Unger, Georg Kuschk, Didier Stricker
2018	J	`jnl`	Automated Scene Flow Data Generation for Training and Verification. CoRR Oliver Wasenmüller, René Schuster, Didier Stricker, Karl Leiss, Jürger Pfister, Oleksandra Ganus, Julian Tatsch, Artem Savkin, Nikolas Brasch
2018	J	`jnl`	Combining Stereo Disparity and Optical Flow for Basic Scene Flow. CoRR René Schuster, Christian Bailer, Oliver Wasenmüller, Didier Stricker
2018	J	`jnl`	Dense Scene Flow from Stereo Disparity and Optical Flow. CoRR René Schuster, Oliver Wasenmüller, Didier Stricker
2018	—	`conf`	Dynamic Risk Assessment for Vehicles of Higher Automation Levels by Deep Learning. SAFECOMP Workshops Patrik Feth, Mohammed Naveed Akram, René Schuster, Oliver Wasenmüller
2018	J	`jnl`	Dynamic Risk Assessment for Vehicles of Higher Automation Levels by Deep Learning. CoRR Patrik Feth, Mohammed Naveed Akram, René Schuster, Oliver Wasenmüller
2018	B	`conf`	FlowFields++: Accurate Optical Flow Correspondences Meet Robust Interpolation. ICIP René Schuster, Christian Bailer, Oliver Wasenmüller, Didier Stricker
2018	J	`jnl`	FlowFields++: Accurate Optical Flow Correspondences Meet Robust Interpolation. CoRR René Schuster, Christian Bailer, Oliver Wasenmüller, Didier Stricker
2018	A	`conf`	SceneFlowFields: Dense Interpolation of Sparse Scene Flow Correspondences. WACV René Schuster, Oliver Wasenmüller, Georg Kuschk, Christian Bailer, Didier Stricker
2017	J	`jnl`	SceneFlowFields: Dense Interpolation of Sparse Scene Flow Correspondences. CoRR René Schuster, Oliver Wasenmüller, Georg Kuschk, Christian Bailer, Didier Stricker
2012	—	`conf`	Patent images - a glass-encased tool: opening the case. I-KNOW Mihai Lupu, René Schuster, Roland Mörzinger, Florina Piroi, Tobias Schleser, Allan Hanbury
2012	—	`conf`	Visual Structure Analysis of Flow Charts in Patent Images. CLEF (Online Working Notes/Labs/Workshop) Roland Mörzinger, René Schuster, Andras Horti, Georg Thallinger
2011	B	`conf`	AVSS 2011 demo session: OUTLIER - online learning and visualization of unusual events. AVSS Josef A. Birchbauer, Samuel Schulter, René Schuster, Georg Poier, Martin Winter, Peter Schallauer, Peter M. Roth, Horst Bischof
2011	—	`conf`	Multi-cue learning and visualization of unusual events. ICCV Workshops René Schuster, Samuel Schulter, Georg Poier, Martin Hirzer, Josef A. Birchbauer, Peter M. Roth, Horst Bischof, Martin Winter, Peter Schallauer
2010	A*	`conf`	Real-time detection of unusual regions in image streams. ACM Multimedia René Schuster, Roland Mörzinger, Werner Haas, Helmut Grabner, Luc Van Gool
2010	—	`conf`	Tools for semi-automatic monitoring of industrial workflows. ARTEMIS@ACM Multimedia 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