René Schuster

Int. J. Comput. Vis., October, 2024

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

[BibT_eX]

[DOI]

Shishir Muralidhara

Sravan Kumar Jagadeesh

SN Comput. Sci., January, 2024

ShapeAug++: More Realistic Shape Augmentation for Event Data.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

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

ShapeAug: Occlusion Augmentation for Event Camera Data.

[BibT_eX]

[DOI]

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

CLEO: Continual Learning of Evolving Ontologies.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

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

[BibT_eX]

[DOI]

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

Severity of Catastrophic Forgetting in Object Detection for Autonomous Driving.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Multi-task Fusion for Efficient Panoptic-Part Segmentation.

[BibT_eX]

[DOI]

Sravan Kumar Jagadeesh

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

On the Future of Training Spiking Neural Networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Ramy Battrawy

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.

[BibT_eX]

[DOI]

PhD thesis, 2022

RMS-FlowNet: Efficient and Robust Multi-Scale Scene Flow Estimation for Large-Scale Point Clouds.

[BibT_eX]

[DOI]

Ramy Battrawy

Mohammad-Ali Nikouei Mahani

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

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

NOEDIKOM - The Digitization of Cultural Heritage/gems in Municipalities in Lower Austrian.

[BibT_eX]

[DOI]

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

VRWalk - a Case Study Regarding Different Movement Options in Virtual Reality.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2021

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Christian Unger

Syed Muhammad Kumail Raza

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

Virtual Reality Applications for Experiential Tourism - Curator Application for Museum Visitors.

[BibT_eX]

[DOI]

Sandra Pfiel

Helena Lovasz-Bukvova

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

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2020

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2018

Automated Scene Flow Data Generation for Training and Verification.

[BibT_eX]

[DOI]

CoRR, 2018

Dense Scene Flow from Stereo Disparity and Optical Flow.

[BibT_eX]

[DOI]

Oliver Wasenmüller

CoRR, 2018

Combining Stereo Disparity and Optical Flow for Basic Scene Flow.

[BibT_eX]

[DOI]

CoRR, 2018

SceneFlowFields: Dense Interpolation of Sparse Scene Flow Correspondences.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Patrik Feth

Mohammed Naveed Akram