Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Shaofei Qin"'
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. :1-17
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20b358e83eeee9523f95ec89f091a337
https://doi.org/10.1109/tpami.2022.3202217
https://doi.org/10.1109/tpami.2022.3202217
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811966125
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ddcb0c5a9d8ad55b93caddacd39dc132
https://doi.org/10.1007/978-981-19-6613-2_394
https://doi.org/10.1007/978-981-19-6613-2_394
Publikováno v:
IEEE transactions on pattern analysis and machine intelligence.
Real-world 3D structured data like point clouds and skeletons often can be represented as data in a 3D rotation group (denoted as [Formula: see text]). However, most existing neural networks are tailored for the data in the Euclidean space, which mak
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::4acc9663cd3336b6c196a1cf2999a207
https://pubmed.ncbi.nlm.nih.gov/36037459
https://pubmed.ncbi.nlm.nih.gov/36037459
Real-world 3D structured data like point clouds and skeletons often can be represented as data in a 3D rotation group (denoted as $\mathbb{SO}(3)$). However, most existing neural networks are tailored for the data in the Euclidean space, which makes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d7036b5b62b2952d6bfb38a34aa69af
https://doi.org/10.36227/techrxiv.17791574
https://doi.org/10.36227/techrxiv.17791574
Autor:
Qian Da, Xiaodi Huang, Zhongyu Li, Yanfei Zuo, Chenbin Zhang, Jingxin Liu, Wen Chen, Jiahui Li, Dou Xu, Zhiqiang Hu, Hongmei Yi, Yan Guo, Zhe Wang, Ling Chen, Li Zhang, Xianying He, Xiaofan Zhang, Ke Mei, Chuang Zhu, Weizeng Lu, Linlin Shen, Jun Shi, Jun Li, Sreehari S, Ganapathy Krishnamurthi, Jiangcheng Yang, Tiancheng Lin, Qingyu Song, Xuechen Liu, Simon Graham, Raja Muhammad Saad Bashir, Canqian Yang, Shaofei Qin, Xinmei Tian, Baocai Yin, Jie Zhao, Dimitris N. Metaxas, Hongsheng Li, Chaofu Wang, Shaoting Zhang
Publikováno v:
Medical image analysis. 80
Examination of pathological images is the golden standard for diagnosing and screening many kinds of cancers. Multiple datasets, benchmarks, and challenges have been released in recent years, resulting in significant improvements in computer-aided di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b003794cbbe39d13a6877be1f2c084b2
https://pubmed.ncbi.nlm.nih.gov/35679692
https://pubmed.ncbi.nlm.nih.gov/35679692
Publikováno v:
CVPR
We propose a novel quaternion product unit (QPU) to represent data on 3D rotation groups. The QPU leverages quaternion algebra and the law of 3D rotation group, representing 3D rotation data as quaternions and merging them via a weighted chain of Ham
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41d41c0820771e23e8efa6c8faa7eeee
https://doi.org/10.1109/cvpr42600.2020.00733
https://doi.org/10.1109/cvpr42600.2020.00733
Publikováno v:
International Journal of Communications, Network and System Sciences. 10:280-292
Short Retraction Notice This article has been retracted to straighten the academic record. In making this decision the Editorial Board follows COPE's Retraction Guidelines. The aim is to promote the circulation of scientific research by offering an i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05312da84ba31512c1a7bc50f5c9f275
https://doi.org/10.4236/ijcns.2017.108b030
https://doi.org/10.4236/ijcns.2017.108b030
Publikováno v:
IEEE Transactions on Mobile Computing. :1-1
This paper presents BatchQR, a mobile APP that can batch read densely arranged QR codes attached to caps of the tubes and vials in clinical and biological labs. BatchQR could work in two modes: photo mode and preview mode. For the photo mode, we firs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7b5fe7a5fdeb3377ef36233effb4bbf
https://doi.org/10.1109/tmc.2021.3106763
https://doi.org/10.1109/tmc.2021.3106763