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检索条件"机构=Institute of Computer Vision and Graphics"
816 条 记 录,以下是1-10 订阅
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Spotlight Control for Real-Time Targeting  32
Spotlight Control for Real-Time Targeting
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32nd International Conference in Central Europe on computer graphics, Visualization and computer vision, WSCG 2024
作者: Heinemann, Mika Benjamin Kernbauer, Thomas Fleck, Philipp Arth, Clemens Institute of Computer Graphics and Vision University of Technology Graz Austria
Off-road heavy machinery such as snow groomers or excavators, often operate in low-light and hazardous environments. In this work, we explore the development of an intelligent camera-spotlight system with automatic an... 详细信息
来源: 评论
SAda-Net: A Self-supervised Adaptive Stereo Estimation CNN For Remote Sensing Image Data  27th
SAda-Net: A Self-supervised Adaptive Stereo Estimation CNN F...
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27th International Conference on Pattern Recognition, ICPR 2024
作者: Hirner, Dominik Fraundorfer, Friedrich Institute of Computer Graphics and Vision Graz University of Technology Graz Austria Cologne Germany
Stereo estimation has made many advancements in recent years with the introduction of deep-learning. However the traditional supervised approach to deep-learning requires the creation of accurate and plentiful ground-... 详细信息
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Test-time Adversarial Detection and Robustness for Localizing Humans Using Ultra Wide Band Channel Impulse Responses  31
Test-time Adversarial Detection and Robustness for Localizin...
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31st European Signal Processing Conference, EUSIPCO 2023
作者: Kolli, Abhiram Mirza, Muhammad Jehanzeb Possegger, Horst Bischof, Horst Institute of Computer Graphics and Vision Graz University of Technology Austria
Keyless entry systems in cars are adopting neural networks for localizing its operators. Using test-time adversarial defences equip such systems with the ability to defend against adversarial attacks without prior tra... 详细信息
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Free-Viewpoint Visual Inspection via 3D Gaussian Splatting for Direct Template Matching  50
Free-Viewpoint Visual Inspection via 3D Gaussian Splatting f...
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50th Annual Conference of the IEEE Industrial Electronics Society, IECON 2024
作者: Ito, Kenta Ueda, Shiori Mori, Shohei Sugano, Junichi Adachi, Hideyuki Saito, Hideo Information and Computer Science Keio University Yokohama Japan Institute of Computer Graphics and Vision Graz University of Technology Graz Austria ViSCO Technologies Corporation Tokyo Japan
Machine vision systems play a pivotal role in streamlining manufacturing processes, notably in quality control through automatic in-line visual inspections. A common practice for inspecting parts, components, and fina... 详细信息
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Towards Neuroadaptive Augmented Reality Piano Tutorials  2
Towards Neuroadaptive Augmented Reality Piano Tutorials
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2nd Edition IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering, MetroXRAINE 2023
作者: Maitz, Florian Ribeiro Skreinig, Lucchas Kalkofen, Denis Wriessnegger, Selina C. Institute of Neural Engineering Graz University of Technology Graz Austria Institute of Computer Graphics and Vision Graz University of Technology Graz Austria
EEG-based neuro-adaptive systems are becoming increasingly popular in the field of learning and education. Their ability to detect changes in brain activity in real-time makes them unique and enables monitoring mental... 详细信息
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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
Spatial Augmented Reality for Heavy Machinery Using Laser Projections
Spatial Augmented Reality for Heavy Machinery Using Laser Pr...
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Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), IEEE Conference on
作者: Thomas Kernbauer Maximilian Tschulik Philipp Fleck Clemens Arth Institute of Computer Graphics and Vision Graz University of Technology
Operating heavy machinery is challenging and can pose safety hazards for the operator and bystanders. Although commonly used augmented reality (AR) devices, such as head-mounted or head-up displays, can provide occupa... 详细信息
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Efficient Motion Prediction: A Lightweight & Accurate Trajectory Prediction Model With Fast Training and Inference Speed
Efficient Motion Prediction: A Lightweight & Accurate Trajec...
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IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
作者: Alexander Prutsch Horst Bischof Horst Possegger Institute of Computer Graphics and Vision Graz University of Technology
For efficient and safe autonomous driving, it is essential that autonomous vehicles can predict the motion of other traffic agents. While highly accurate, current motion prediction models often impose significant chal... 详细信息
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HAMMER: Learning Entropy Maps to Create Accurate 3D Models in Multi-View Stereo
HAMMER: Learning Entropy Maps to Create Accurate 3D Models i...
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IEEE Workshop on Applications of computer vision (WACV)
作者: Rafael Weilharter Friedrich Fraundorfer Institute of Computer Graphics and Vision Graz University of Technology
While the majority of recent Multi-View Stereo Networks estimates a depth map per reference image, their performance is then only evaluated on the fused 3D model obtained from all images. This approach makes a lot of ...
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Action-By-Detection: Efficient Forklift Action Detection for Autonomous Mobile Robots in Warehouses
Action-By-Detection: Efficient Forklift Action Detection for...
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IEEE International Conference on Robotics and Automation (ICRA)
作者: Alexander Prutsch Horst Possegger Horst Bischof Institute of Computer Graphics and Vision Graz University of Technology
Understanding actions of other agents increases the efficiency of autonomous mobile robots (AMRs) since they encompass intention and indicate future movements. We propose a new method that allows us to infer vehicle a... 详细信息
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