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检索条件"机构=Computer Graphics and Computer Vision Laboratory"
153 条 记 录,以下是31-40 订阅
排序:
CLASSIFICATION OF LUNG CANCER SUBTYPES ON CT IMAGES WITH SYNTHETIC PATHOLOGICAL PRIORS
arXiv
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arXiv 2023年
作者: Zhu, Wentao Jin, Yuan Ma, Gege Chen, Geng Egger, Jan Zhang, Shaoting Metaxas, Dimitris N. Research Center for Healthcare Data Science Zhejiang Lab Hangzhou311121 China School of Computer Science and Engineering Northwestern Polytechnical University Shaanxi Xi’an710072 China Institute of Computer Graphics and Vision Graz University of Technology Graz8010 Austria Shanghai Artificial Intelligence Laboratory Shanghai200120 China Department of Computer Science Rutgers University PiscatawayNJ08854 United States
The accurate diagnosis on pathological subtypes for lung cancer is of significant importance for the follow-up treatments and prognosis managements. In this paper, we propose self-generating hybrid feature network (SG... 详细信息
来源: 评论
FAST3D: Flow-aware self-training for 3D object detectors
arXiv
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arXiv 2021年
作者: Fruhwirth-Reisinger, Christian Opitz, Michael Possegger, Horst Bischof, Horst Christian Doppler Laboratory for Embedded Machine Learning Institute of Computer Graphics and Vision Graz University of Technology
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
An IoT Course Program to Foster the Adoption of IoT Driven Food and Agriculture in Sub-Saharan Africa (SSA)
An IoT Course Program to Foster the Adoption of IoT Driven F...
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2022 IEEE International Conference on Electrical, computer, and Energy Technologies, ICECET 2022
作者: Kuaban, Godlove Suila Nowak, Mateusz Czekalski, Piotr Tokarz, Krzysztof Tangka, Julius Kewir Siggursson, Kjartan Nikitenko, Agris Berkolds, Karlis Sell, Raivo Institute of Theoretical and Applied Informatics Polish Academy of Sciences Baltycka 5 Gliwice 44-100 Poland Department of Computer Graphics Vision and Digital Systems Silesian University of Technology Akademicka 16 Gliwice44-100 Poland Renewable Energy Laboratory University of Dschang Dschang Cameroon University of Twente Netherlands Riga Technical University Latvia TalTech Estonia
The Internet of Things (IoT) technologies, together with other technological advances such as big data analytics, Artificial Intelligence (AI), automation, and unmanned electrical vehicles (e.g., self-driving vehicles... 详细信息
来源: 评论
Persistent Homology with Improved Locality Information for more Effective Delineation
arXiv
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arXiv 2021年
作者: Oner, Doruk Garin, Adélie Kozinski, Mateusz Hess, Kathryn Fua, Pascal The Computer Vision Laboratory Switzerland The Laboratory for Topology and Neuroscience École Polytechnique Fédérale de Lausanne Lausanne1015 Switzerland The Institute of Computer Graphics and Vision TU Graz Graz8010 Austria
Persistent Homology (PH) has been successfully used to train networks to detect curvilinear structures and to improve the topological quality of their results. However, existing methods are very global and ignore the ... 详细信息
来源: 评论
AIR-DA: Adversarial Image Reconstruction for Unsupervised Domain Adaptive Object Detection
arXiv
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arXiv 2023年
作者: Sun, Kunyang Lin, Wei Shi, Haoqin Zhang, Zhengming Huang, Yongming Bischof, Horst The School of Information Science and Engineering The National Mobile Communications Research Laboratory Southeast University Nanjing210096 China The Pervasive Communications Center Purple Mountain Laboratories Nanjing211111 China The Institute for Computer Graphics and Vision Graz University of Technology Graz8010 Austria
Unsupervised domain adaptive object detection is a challenging vision task where object detectors are adapted from a label-rich source domain to an unlabeled target domain. Recent advances prove the efficacy of the ad... 详细信息
来源: 评论
The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization
arXiv
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arXiv 2021年
作者: Mirza, Muhammad Jehanzeb Micorek, Jakub Possegger, Horst Bischof, Horst Institute for Computer Graphics and Vision Graz University of Technology Austria Christian Doppler Laboratory for Embedded Machine Learning Austria
Domain adaptation is crucial to adapt a learned model to new scenarios, such as domain shifts or changing data distributions. Current approaches usually require a large amount of labeled or unlabeled data from the shi... 详细信息
来源: 评论
An Efficient Domain-Incremental Learning Approach to Drive in All Weather Conditions
arXiv
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arXiv 2022年
作者: Mirza, Muhammad Jehanzeb Masana, Marc Possegger, Horst Bischof, Horst Institute of Computer Graphics and Vision Graz University of Technology Austria Christian Doppler Laboratory for Embedded Machine Learning Austria TU Graz SAL Dependable Embedded Systems Lab Silicon Austria Labs Austria
Although deep neural networks enable impressive visual perception performance for autonomous driving, their robustness to varying weather conditions still requires attention. When adapting these models for changed env... 详细信息
来源: 评论
A Novel Approach for User Demand-aware Data Center Construction and Service Consolidation  1
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29th International Conference on Web Services, ICWS 2022 Held as Part of the Services Conference Federation, SCF 2022
作者: Lv, Yifei Guo, Kunyin Xia, Yunni Li, Yin Ma, Yong Li, Fan Zeng, Linchengxi Peng, Qinglan Long, Tingyan College of Computer Science Chongqing University Chongqing400030 China Guangzhou Institute of Software Application Technology Guangzhou510000 China School of Computers and Information Jiangxi Normal University Nanchang330022 China Key Laboratory of Fundamental Synthetic Vision Graphics and Image Science for National Defense Sichuan University Chengdu610000 China Chongqing China School of Artificial Intelligence Henan University Kaifeng475001 China
The recent intensifying computational demands from multinationals enterprises have motivated the magnification for large complicated cloud data centers (DCs) to handle business, monetary, Internet and commercial appli... 详细信息
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Robustness of object detectors in degrading weather conditions
arXiv
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arXiv 2021年
作者: Mirza, Muhammad Jehanzeb Buerkle, Cornelius Jarquin, Julio Opitz, Michael Oboril, Fabian Scholl, Kay-Ulrich Bischof, Horst Christian Doppler Laboratory for Embedded Machine Learning Institute for Computer Graphics and Vision Graz University of Technology Austria Intel Labs Karlsruhe Germany
State-of-the-art object detection systems for autonomous driving achieve promising results in clear weather conditions. However, such autonomous safety critical systems also need to work in degrading weather condition... 详细信息
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How we won BraTS 2023 Adult Glioma challenge? Just faking it! Enhanced Synthetic Data Augmentation and Model Ensemble for brain tumour segmentation
arXiv
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arXiv 2024年
作者: Ferreira, André Solak, Naida Li, Jianning Dammann, Philipp Kleesiek, Jens Alves, Victor Egger, Jan Center ALGORITMI/LASI University of Minho Braga4710-057 Portugal Computer Algorithms for Medicine Laboratory Graz Austria University Medicine Essen Girardetstraße 2 Essen45131 Germany University Medicine Essen Hufelandstraße 55 Essen45147 Germany Partner Site Essen Hufelandstraße 55 Essen45147 Germany Institute of Computer Graphics and Vision Graz University of Technology Inffeldgasse 16 Graz8010 Austria Department of Neurosurgery and Spine Surgery University Hospital Essen Essen Germany
Deep Learning is the state-of-the-art technology for segmenting brain tumours. However, this requires a lot of high-quality data, which is difficult to obtain, especially in the medical field. Therefore, our solutions... 详细信息
来源: 评论