Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Xiaochen Lian"'
Publikováno v:
2021 IEEE 9th International Conference on Information, Communication and Networks (ICICN).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52f6c7dc15e20b56a28f00467c6d3093
https://doi.org/10.1109/icicn52636.2021.9673984
https://doi.org/10.1109/icicn52636.2021.9673984
Publikováno v:
2021 6th International Conference on Communication, Image and Signal Processing (CCISP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9588421d2a94a5f10c865744bfb7c27
https://doi.org/10.1109/ccisp52774.2021.9639357
https://doi.org/10.1109/ccisp52774.2021.9639357
Publikováno v:
CVPR
High-resolution representations (HR) are essential for dense prediction tasks such as segmentation, detection, and pose estimation. Learning HR representations is typically ignored in previous Neural Architecture Search (NAS) methods that focus on im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::257cade1e70996f593121cf67c91044a
Autor:
Xiaochen Lian, Xiaojie Jin, Yuyin Zhou, Song Bai, Jieru Mei, Cihang Xie, Alan L. Yuille, Linjie Yang, Qihang Yu, Yingwei Li
Publikováno v:
CVPR
Non-Local (NL) blocks have been widely studied in various vision tasks. However, it has been rarely explored to embed the NL blocks in mobile neural networks, mainly due to the following challenges: 1) NL blocks generally have heavy computation cost
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f40ba967ff4ef8553fa7ac50977e280f
https://doi.org/10.1109/cvpr42600.2020.01031
https://doi.org/10.1109/cvpr42600.2020.01031
Autor:
Xiaochen Liang, Yilin Yu, Jie Mei, Jialing Feng, Peng Li, Yongan Bai, Min Ma, Fu Liu, Yingfeng Qu, Yuxi Lang, Xiaodong Li
Publikováno v:
Aquaculture Reports, Vol 35, Iss , Pp 101963- (2024)
The Chinese mitten crab is an important aquaculture product in China. Currently, rice-crab co-culture is a novel model that can realize positive interactions. The feed for Chinese mitten crabs cultured in rice fields should be distinguished from othe
Externí odkaz:
https://doaj.org/article/babd621f169941b0b0a2b1ea5cf70123
Publikováno v:
Food Chemistry: X, Vol 20, Iss , Pp 100937- (2023)
The nutritional quality of three edible parts (gonads, hepatopancreas and muscles) of Chinese mitten crabs (CMCs) from rice field culture and pond culture was firstly compared in our current study. It was found that the contents of mineral elements a
Externí odkaz:
https://doaj.org/article/34492a502ab344b4a0514e139cbaa59d
Publikováno v:
WACV
In this paper, we address the task of instance-level semantic boundary detection. To this end, we generate a large database consisting of more than 10k images (which is 20 bigger than existing edge detection databases) along with ground truth boundar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3346a2c47502c04c891695e1fc64af0c
https://doi.org/10.1109/wacv.2017.16
https://doi.org/10.1109/wacv.2017.16
Autor:
Zhiyu Zhao, Yanjie Wu, Xiaochen Liang, Jiajing Liu, Yi Luo, Yijia Zhang, Tingting Li, Cong Liu, Xian Luo, Jialin Chen, Yunjie Wang, Shengyu Wang, Ting Wu, Shaoliang Zhang, Dong Yang, Wengang Li, Jianghua Yan, Zhihai Ke, Fanghong Luo
Publikováno v:
Advanced Science, Vol 10, Iss 30, Pp n/a-n/a (2023)
Abstract The lethality and chemotherapy resistance of pancreatic cancer necessitates the urgent development of innovative strategies to improve patient outcomes. To address this issue, we designed a novel drug delivery system named GDMCN2,which uses
Externí odkaz:
https://doaj.org/article/53ac7aeb0798427690a28b30ee2d8965
Publikováno v:
Neurocomputing. 76:18-27
In this paper, we propose a novel gender classification framework, which utilizes not only facial features, but also external information, i.e. hair and clothing. Instead of using the whole face, we consider five facial components: forehead, eyes, no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7edb5103425aad8ec77210042dd6e619
https://doi.org/10.1016/j.neucom.2011.01.028
https://doi.org/10.1016/j.neucom.2011.01.028
Publikováno v:
Neural Computing and Applications. 21:661-669
In this paper, we propose a multi-view gender classification system with a hierarchical framework using facial images as input. The front end of the framework is a classifier, which will properly divides the input images into several groups. To ease
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97ff79dbea0f4d959a85c8a56bc4893b
https://doi.org/10.1007/s00521-011-0647-x
https://doi.org/10.1007/s00521-011-0647-x