Zobrazeno 1 - 10
of 386
pro vyhledávání: '"Lizhuang, Ma"'
Deep network compression has been achieved notable progress via knowledge distillation, where a teacher-student learning manner is adopted by using predetermined loss. Recently, more focuses have been transferred to employ the adversarial training to
Externí odkaz:
http://arxiv.org/abs/1904.05100
Publikováno v:
IET Image Processing, Vol 17, Iss 2, Pp 362-374 (2023)
Abstract Coronavirus Disease 2019 (Covid‐19) overtook the worldwide in early 2020, placing the world's health in threat. Automated lung infection detection using Chest X‐ray images has a ton of potential for enhancing the traditional covid‐19 t
Externí odkaz:
https://doaj.org/article/462945870c7b4f0abd6a2f9c3315415f
Autor:
Chuxuan Li, Ran Yi, Saba Ghazanfar Ali, Lizhuang Ma, Enhua Wu, Jihong Wang, Lijuan Mao, Bin Sheng
Publikováno v:
Virtual Reality & Intelligent Hardware, Vol 4, Iss 5, Pp 418-431 (2022)
Background: Monocular depth estimation aims to predict the dense depth map from a single RGB image, which has important applications in 3D reconstruction, automatic driving, and augmented reality. However, existing methods directly feed the original
Externí odkaz:
https://doaj.org/article/89b931e5dea64740972229ee376272e4
Publikováno v:
Computational Visual Media, Vol 8, Iss 2, Pp 303-315 (2021)
Abstract A significant performance boost has been achieved in point cloud semantic segmentation by utilization of the encoder-decoder architecture and novel convolution operations for point clouds. However, co-occurrence relationships within a local
Externí odkaz:
https://doaj.org/article/f938fcfbe67b4a61a47ac975ba983adb
Akademický článek
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Publikováno v:
IET Computer Vision, Vol 13, Iss 7, Pp 632-639 (2019)
Face alignment has made great progress in recent years and the cascade regression framework is one of the main contributors. However, the performance of this framework is unsatisfactory on heavily occluded faces or those far from the frontal pose. Th
Externí odkaz:
https://doaj.org/article/d586b02cecb843e0af75746c0548d5a0
Publikováno v:
ACM Transactions on Multimedia Computing, Communications, and Applications. 19:1-16
Camouflaged object detection (COD) is important as it has various potential applications. Unlike salient object detection (SOD), which tries to identify visually salient objects, COD tries to detect objects that are visually very similar to the surro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca8dc0fab5cd7106ac706bacd28710ad
https://doi.org/10.1145/3545609
https://doi.org/10.1145/3545609
Autor:
Qianyu Zhou, Zhengyang Feng, Qiqi Gu, Jiangmiao Pang, Guangliang Cheng, Xuequan Lu, Jianping Shi, Lizhuang Ma
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 33:804-817
Unsupervised domain adaptation (UDA) aims to adapt a model of the labeled source domain to an unlabeled target domain. Existing UDA-based semantic segmentation approaches always reduce the domain shifts in pixel level, feature level, and output level
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e7f23317e66f804ab050438fbe32a02
https://doi.org/10.1109/tcsvt.2022.3206476
https://doi.org/10.1109/tcsvt.2022.3206476
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. :1-14
Domain adaptation aims to bridge the domain shifts between the source and the target domain. These shifts may span different dimensions such as fog, rainfall, etc. However, recent methods typically do not consider explicit prior knowledge about the d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::588adc2048851e6bbbb61bbcd13f6a9e
https://doi.org/10.1109/tpami.2023.3238727
https://doi.org/10.1109/tpami.2023.3238727
Publikováno v:
IEEE Transactions on Image Processing. 32:2386-2398
Night-Time Scene Parsing (NTSP) is essential to many vision applications, especially for autonomous driving. Most of the existing methods are proposed for day-time scene parsing. They rely on modeling pixel intensity-based spatial contextual cues und
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6e014ecf9a7274d54d06dece51a632e
https://doi.org/10.1109/tip.2023.3267044
https://doi.org/10.1109/tip.2023.3267044