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检索条件"机构=Computer Graphics and Computer Vision Laboratory"
152 条 记 录,以下是1-10 订阅
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TAEC: Unsupervised action segmentation with temporal-Aware embedding and clustering  26
TAEC: Unsupervised action segmentation with temporal-Aware e...
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26th computer vision Winter Workshop, CVWW 2023
作者: Lin, Wei Kukleva, Anna Possegger, Horst Kuehne, Hilde Bischof, Horst Institute of Computer Graphics and Vision Graz University of Technology Austria Christian Doppler Laboratory for Semantic 3D Computer Vision Austria Max-Planck-Institute for Informatics Germany Goethe University Frankfurt Germany
Temporal action segmentation in untrimmed videos has gained increased attention recently. However, annotating action classes and frame-wise boundaries is extremely time consuming and cost intensive, especially on larg... 详细信息
来源: 评论
LaFTer: label-free tuning of zero-shot classifier using language and unlabeled image collections  23
LaFTer: label-free tuning of zero-shot classifier using lang...
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Proceedings of the 37th International Conference on Neural Information Processing Systems
作者: M. Jehanzeb Mirza Leonid Karlinsky Wei Lin Mateusz Kozinski Horst Possegger Rogerio Feris Horst Bischof Institute of Computer Graphics and Vision TU Graz Austria and Christian Doppler Laboratory for Embedded Machine Learning MIT-IBM Watson AI Lab Institute of Computer Graphics and Vision TU Graz Austria
Recently, large-scale pre-trained vision and Language (VL) models have set a new state-of-the-art (SOTA) in zero-shot visual classification enabling open-vocabulary recognition of potentially unlimited set of categori...
来源: 评论
Multicenter aortic vessel tree extraction using deep learning
Multicenter aortic vessel tree extraction using deep learnin...
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Medical Imaging 2023: Biomedical Applications in Molecular, Structural, and Functional Imaging
作者: Scharinger, Bernhard Pepe, Antonio Jin, Yuan Gsaxner, Christina Li, Jianning Egger, Jan Graz University of Technology Institute for Computer Graphics and Vision Inffeldgasse 16c/II GrazA-8010 Austria Computer Algorithms for Medicine Laboratory Graz Austria Girardetstrasse 2 Essen45131 Germany Research Center for Connected Healthcare Big Data Zhejiang Lab Zhejiang Hangzhou311121 China
The aorta is the largest vessel of the human body and its pathological degenerations, such as dissections and aneurysms, can be life threatening. An automatic and fast segmentation of the aorta can therefore be a help... 详细信息
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CUDA and Applications to Task-based Programming
CUDA and Applications to Task-based Programming
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43rd Annual Conference on European Association for computer graphics, EUROgraphics 2022
作者: Kerbl, Bernhard Kenzel, Michael Winter, Martin Steinberger, Markus TU Wien Institute of Visual Computing and Human-Centered Technology Austria Saarland University Computer Graphics Lab Germany Intelligent Cloud Rendering Laboratory Huawei Technologies Austria Graz University of Technology Institute of Computer Graphics and Vision Austria
Since its inception, the CUDA programming model has been continuously evolving. Because the CUDA toolkit aims to consistently expose cutting-edge capabilities for general-purpose compute jobs to its users, the added f... 详细信息
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ActMAD: Activation Matching to Align Distributions for Test-Time-Training
ActMAD: Activation Matching to Align Distributions for Test-...
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Conference on computer vision and Pattern Recognition (CVPR)
作者: M. Jehanzeb Mirza Pol Jané Soneira Wei Lin Mateusz Kozinski Horst Possegger Horst Bischof Institute for Computer Graphics and Vision TU Graz Austria Christian Doppler Laboratory for Embedded Machine Learning Institute of Control Systems KIT Germany Christian Doppler Laboratory for Semantic 3D Computer Vision
Test-Time-Training (TTT) is an approach to cope with out-of-distribution (OOD) data by adapting a trained model to distribution shifts occurring at test-time. We propose to perform this adaptation via Activation Match...
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A Multi-Armed Bandits Learning-Based Approach to Service Caching in Edge Computing Environment  30th
A Multi-Armed Bandits Learning-Based Approach to Service Ca...
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30th International Conference on Web Services, ICWS 2023
作者: Li, Jinpeng Zhao, Jiale Chen, Peng Xia, Yunni Li, Fan Li, Yin Zeng, Feng Liu, Hui School of Computer Chongqing University Chongqing400030 China School of Computer and Software Engineering Xihua University Chengdu610039 China Key Laboratory of Fundamental Synthetic Vision Graphics and Image Science for National Defense Sichuan University Chengdu610065 China Guangzhou Institute of Software Application Technology Guangzhou510990 China Limited Shenzhen518129 China School of Computer Science and Technology Beijing Institute of Technology Beijing100083 China
Mobile edge computing (MEC) is a newly emerging concept that provides significant local computing power and reduces end-to-end latency. In MEC environments, caching frequently accessed services on edge servers effecti... 详细信息
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A Visual Surveillance System to Observe Realistic Road User Behavior for Improved Pedestrian and Cyclist Safety at Crossroads
A Visual Surveillance System to Observe Realistic Road User ...
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IEEE Conference on Advanced Video and Signal Based Surveillance (AVSS)
作者: Nadezda Kirillova Horst Possegger Horst Bischof Institute of Computer Graphics and Vision Graz University of Technology Austria Christian Doppler Laboratory for Semantic 3D Computer Vision
Pedestrians and cyclists suffer the most serious injuries in traffic accidents. Existing Pedestrian Protection Systems and Road Safety Systems rely on an ideal model of pedestrian behavior and do not consider that peo... 详细信息
来源: 评论
TAEC: Unsupervised Action Segmentation with Temporal-Aware Embedding and Clustering
arXiv
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arXiv 2023年
作者: Lin, Wei Kukleva, Anna Possegger, Horst Kuehne, Hilde Bischof, Horst Institute of Computer Graphics and Vision Graz University of Technology Austria Christian Doppler Laboratory for Semantic 3D Computer Vision Austria Max-Planck-Institute for Informatics Germany Goethe University Frankfurt Germany
Temporal action segmentation in untrimmed videos has gained increased attention recently. However, annotating action classes and frame-wise boundaries is extremely time consuming and cost intensive, especially on larg... 详细信息
来源: 评论
A Hybrid Adaptive Filter for Head Tracking in Augmented Reality (AR)-based Flight Simulators
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IEEE Transactions on computers 2025年
作者: Nwobodo, Onyeka J. Kuaban, Godlove Suila Nkemeni, Valery Wereszczynski, Kamil Cyran, Krzysztof A. Silesian University of Technology Department of Computer Graphics Vision and Digital Systems Faculty of Automatic Control Electronics and Computer Science Gliwice Poland Polish Academy of Sciences Institute of Theoretical and Applied Informatics Poland University of Buea Laboratory of Electrical Engineering and Computing Faculty of Engineering and Technology Buea Cameroon
This paper presents a novel approach for head tracking in augmented reality (AR) flight simulators using an adaptive fusion of Kalman and particle filters. This fusion dynamically balances the strengths of both algori... 详细信息
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FAST3D: Flow-Aware Self-Training for 3D Object Detectors  32
FAST3D: Flow-Aware Self-Training for 3D Object Detectors
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32nd British Machine vision Conference, BMVC 2021
作者: Fruhwirth-Reisinger, Christian Opitz, Michael Possegger, Horst Bischof, Horst Christian Doppler Laboratory for Embedded Machine Learning Austria Institute of Computer Graphics and Vision Graz University of Technology Austria Amazon
In the field of autonomous driving, self-training is widely applied to mitigate distribution shifts in LiDAR-based 3D object detectors. This eliminates the need for expensive, high-quality labels whenever the environm... 详细信息
来源: 评论