Results 11 to 20 of about 4,347,136 (363)
Ditto: Building Digital Twins of Articulated Objects from Interaction [PDF]
Computer Vision and Pattern Recognition, 2022 Digitizing physical objects into the virtual world has the potential to unlock new research and applications in embodied AI and mixed reality. This work focuses on recreating interactive digital twins of real-world articulated objects, which can be ...
Zhenyu Jiang, Cheng-Chun Hsu, Yuke Zhu
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Joint Semantic-geometric Learning for Polygonal Building Segmentation
AAAI Conference on Artificial Intelligence, 2021 Building extraction from aerial or satellite images has been an important research issue in remote sensing and computer vision domains for decades.
Weijia Li +4 more
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Вестник Научно-исследовательского института железнодорожного транспорта, 2020 The article examines methodical issues of selection of heat insulation materials, their properties affecting energy efficiency, as well as methodical issues of experimental determination of heat insulation properties of the car body.
S. L. Samoshkin +2 more
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Buildings, 2022 Exposure to extreme heat is a significant public health problem and the primary cause of weather-related mortality, which can be anticipated by accurately predicting outdoor thermal sensation.
Ying Liu +5 more
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Role of expansion joint in the study of seismic analysis of a multi-storied building [PDF]
E3S Web of Conferences, 2021 In this paper, the study on the multi-storied building with and without expansion joint when it is subjected to seismic forces in both x and y direction are taken into consideration.
Arun Meera, Srinivas T, Krishna PVVSSR
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Joint Learning of Contour and Structure for Boundary-Preserved Building Extraction
Remote Sensing, 2021 Most of the existing approaches to the extraction of buildings from high-resolution orthoimages consider the problem as semantic segmentation, which extracts a pixel-wise mask for buildings and trains end-to-end with manually labeled building maps ...
Cheng Liao +6 more
semanticscholar +1 more source
Learning to Extract Building Footprints from Off-Nadir Aerial Images [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 Extracting building footprints from aerial images is essential for precise urban mapping with photogrammetric computer vision technologies. Existing approaches mainly assume that the roof and footprint of a building are well overlapped, which may not ...
Jinwang Wang +5 more
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Buildings, 2023 The seismic performance of prefabricated reinforced concrete shear walls is a key point in the safety of the whole assembly structure under earthquake actions.
Junna Yang +6 more
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Forming Effective Human-AI Teams: Building Machine Learning Models that Complement the Capabilities of Multiple Experts [PDF]
International Joint Conference on Artificial Intelligence, 2022 Machine learning (ML) models are increasingly being used in application domains that often involve working together with human experts. In this context, it can be advantageous to defer certain instances to a single human expert when they are difficult to
Patrick Hemmer +4 more
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Вестник Научно-исследовательского института железнодорожного транспорта, 2020 One of the activities of the JSC “FPK” is the creation of competitive advantages for passenger rail transport by formulating proposals for the provision of new services in long-distance trains.
S. L. Samoshkin +4 more
doaj +1 more source