Zobrazeno 1 - 10
of 65 798
pro vyhledávání: '"Dogan, As"'
Autor:
Park, Jiyoung, Doğan, Günay
One of the fundamental problems in computer vision is image segmentation, the task of detecting distinct regions or objects in given images. Deep Neural Networks (DNN) have been shown to be very effective in segmenting challenging images, producing c
Externí odkaz:
http://arxiv.org/abs/2410.14017
Disjointness checks are among the most important constraint checks in a knowledge base and can be used to help detect and correct incorrect statements and internal contradictions. Wikidata is a very large, community-managed knowledge base. Because of
Externí odkaz:
http://arxiv.org/abs/2410.13707
Autor:
Dogangun, Fatih, Bahar, Serdar, Yildirim, Yigit, Temir, Bora Toprak, Ugur, Emre, Dogan, Mustafa Doga
As robotics continue to enter various sectors beyond traditional industrial applications, the need for intuitive robot training and interaction systems becomes increasingly more important. This paper introduces Robotic Augmented Reality for Machine P
Externí odkaz:
http://arxiv.org/abs/2410.13412
Robust classification of the operational environment of wireless devices is becoming increasingly important for wireless network optimization, particularly in a shared spectrum environment. Distinguishing between indoor and outdoor devices can enhanc
Externí odkaz:
http://arxiv.org/abs/2410.13159
Materials scientists utilize image segmentation of micrographs to create large curve ensembles representing grain boundaries of material microstructures. Observations of these collections of shapes can facilitate inferences about material properties
Externí odkaz:
http://arxiv.org/abs/2410.12994
Despite the growing accessibility of augmented reality (AR) for visualization, existing computer-aided design systems remain largely confined to traditional screens and are often inaccessible to novice users due to their complexity. We present Realit
Externí odkaz:
http://arxiv.org/abs/2410.06113
Precision pose detection is increasingly demanded in fields such as personal fabrication, Virtual Reality (VR), and robotics due to its critical role in ensuring accurate positioning information. However, conventional vision-based systems used in the
Externí odkaz:
http://arxiv.org/abs/2410.06028
Autor:
Demir, Samet, Dogan, Zafer
Random Feature Model (RFM) with a nonlinear activation function is instrumental in understanding training and generalization performance in high-dimensional learning. While existing research has established an asymptotic equivalence in performance be
Externí odkaz:
http://arxiv.org/abs/2409.20250
Publikováno v:
2021 NIST Technical Note 2164
The computation of the elastic registration of two simple curves in higher dimensions and therefore of the elastic shape distance between them has been investigated by Srivastava et al. Assuming the first curve has one or more starting points, and th
Externí odkaz:
http://arxiv.org/abs/2409.19380
Ambiguities are common in human-robot interaction, especially when a robot follows user instructions in a large collocated space. For instance, when the user asks the robot to find an object in a home environment, the object might be in several place
Externí odkaz:
http://arxiv.org/abs/2409.17004