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pro vyhledávání: '"Phung, Son Lam"'
Autor:
Phan, Vu Minh Hieu, Xie, Yutong, Zhang, Bowen, Qi, Yuankai, Liao, Zhibin, Perperidis, Antonios, Phung, Son Lam, Verjans, Johan W., To, Minh-Son
Unpaired medical image synthesis aims to provide complementary information for an accurate clinical diagnostics, and address challenges in obtaining aligned multi-modal medical scans. Transformer-based models excel in imaging translation tasks thanks
Externí odkaz:
http://arxiv.org/abs/2406.18967
Autor:
Truong, Thanh-Dat, Duong, Chi Nhan, Dowling, Ashley, Phung, Son Lam, Cothren, Jackson, Luu, Khoa
Understanding semantic scene segmentation of urban scenes captured from the Unmanned Aerial Vehicles (UAV) perspective plays a vital role in building a perception model for UAV. With the limitations of large-scale densely labeled data, semantic scene
Externí odkaz:
http://arxiv.org/abs/2304.07199
The development of autonomous vehicles generates a tremendous demand for a low-cost solution with a complete set of camera sensors capturing the environment around the car. It is essential for object detection and tracking to address these new challe
Externí odkaz:
http://arxiv.org/abs/2211.09663
Autor:
Truong, Thanh-Dat, Bui, Quoc-Huy, Duong, Chi Nhan, Seo, Han-Seok, Phung, Son Lam, Li, Xin, Luu, Khoa
Human action recognition has recently become one of the popular research topics in the computer vision community. Various 3D-CNN based methods have been presented to tackle both the spatial and temporal dimensions in the task of video action recognit
Externí odkaz:
http://arxiv.org/abs/2203.10233
Publikováno v:
In Pattern Recognition August 2024 152
Semantic segmentation aims to predict pixel-level labels. It has become a popular task in various computer vision applications. While fully supervised segmentation methods have achieved high accuracy on large-scale vision datasets, they are unable to
Externí odkaz:
http://arxiv.org/abs/2108.03267
Publikováno v:
In Neurocomputing 28 May 2024 583
Publikováno v:
In Neurocomputing 14 September 2022 504:189-203
Akademický článek
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Publikováno v:
In Pattern Recognition December 2017 72:381-390