Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Zehuan Yuan"'
Publikováno v:
IEEE Transactions on Image Processing. 31:2878-2892
Unsupervised domain adaptation (UDA) aims to enhance the generalization capability of a certain model from a source domain to a target domain. Present UDA models focus on alleviating the domain shift by minimizing the feature discrepancy between the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac5d67c9bc698efbd46bb57add5069a9
https://doi.org/10.1109/tip.2022.3162471
https://doi.org/10.1109/tip.2022.3162471
Autor:
Chuchu Han, Zhedong Zheng, Kai Su, Dongdong Yu, Zehuan Yuan, Changxin Gao, Nong Sang, Yi Yang
Publikováno v:
IEEE transactions on pattern analysis and machine intelligence.
Person search aims at localizing and recognizing query persons from raw video frames, which is a combination of two sub-tasks, i.e., pedestrian detection and person re-identification. The dominant fashion is termed as the one-step person search that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab96702a18a004e726ae41830a901d64
https://pubmed.ncbi.nlm.nih.gov/36355744
https://pubmed.ncbi.nlm.nih.gov/36355744
Co-occurrent visual pattern makes context aggregation become an essential paradigm for semantic segmentation.The existing studies focus on modeling the contexts within image while neglecting the valuable semantics of the corresponding category beyond
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c49b9cfc061ecb8ae9f1a5d23cb19400
http://arxiv.org/abs/2209.04471
http://arxiv.org/abs/2209.04471
Autor:
Guanghao Yin, Wei Wang, Zehuan Yuan, Wei Ji, Dongdong Yu, Shouqian Sun, Tat-Seng Chua, Changhu Wang
Publikováno v:
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 31
Although single-image super-resolution (SISR) methods have achieved great success on single degradation, they still suffer performance drop with multiple degrading effects in real scenarios. Recently, some blind and non-blind models for multiple degr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e731a731f2f2e712f559bbad39f30265
https://pubmed.ncbi.nlm.nih.gov/35635814
https://pubmed.ncbi.nlm.nih.gov/35635814
Referring video object segmentation (R-VOS) is an emerging cross-modal task that aims to segment the target object referred by a language expression in all video frames. In this work, we propose a simple and unified framework built upon Transformer,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::472842c1b24c77866bb2583ce66173ee
http://arxiv.org/abs/2201.00487
http://arxiv.org/abs/2201.00487
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031200588
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe38cf978f8e1acde47ee1072d3a3b2e
https://doi.org/10.1007/978-3-031-20059-5_22
https://doi.org/10.1007/978-3-031-20059-5_22
Autor:
Yifu Zhang, Peize Sun, Yi Jiang, Dongdong Yu, Fucheng Weng, Zehuan Yuan, Ping Luo, Wenyu Liu, Xinggang Wang
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031200465
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb5d2e9172eec975686073c03863eb7f
https://doi.org/10.1007/978-3-031-20047-2_1
https://doi.org/10.1007/978-3-031-20047-2_1
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031200762
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9ee47703604f8710f2fa120f2b42f5f
https://doi.org/10.1007/978-3-031-20077-9_20
https://doi.org/10.1007/978-3-031-20077-9_20
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031200823
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::684102463856a6d31ceaf096eb7ff18a
https://doi.org/10.1007/978-3-031-20083-0_4
https://doi.org/10.1007/978-3-031-20083-0_4
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031198021
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b1f0d8cb1ed7b0ea6c5fa91deabdb08
https://doi.org/10.1007/978-3-031-19803-8_43
https://doi.org/10.1007/978-3-031-19803-8_43