Zobrazeno 1 - 10
of 19
pro vyhledávání: '"liyuan, Pan"'
Autor:
Liu, Weihua, Qiu, Jianhua, Boumaraf, Said, lin, Chaochao, liyuan, Pan, Li, Lin, Bennamoun, Mohammed, Werghi, Naoufel
In response to the growing threat of deepfake technology, we introduce BENet, a Cross-Domain Robust Bias Expansion Network. BENet enhances the detection of fake faces by addressing limitations in current detectors related to variations across differe
Externí odkaz:
http://arxiv.org/abs/2412.07431
Autor:
Mengmeng Fu, Bo Qi, Shuguang Li, Haifeng Xu, Yaqi Wang, Zhixin Zhao, Xiwen Yu, Liyuan Pan, Jiayin Yang
Publikováno v:
Agronomy, Vol 12, Iss 12, p 3135 (2022)
Deciphering the genetic basis underlying agronomic traits is of importance for soybean improvement. However, covariation, modulated by genetic correlations between complicated traits via hub QTLs, commonly affects the efficiency and accuracy of soybe
Externí odkaz:
https://doaj.org/article/7ecd6090e8f44c2fb855ba7d264bd326
Publikováno v:
Emerging Markets Finance and Trade. 59:404-419
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1476386ffde46947d1fee700bc810792
https://doi.org/10.1080/1540496x.2022.2103404
https://doi.org/10.1080/1540496x.2022.2103404
Publikováno v:
International Review of Economics & Finance. 75:524-545
Using Chinese listed companies' data from 2007 to 2017, this study finds that companies with a higher proportion of index fund ownership are more innovative, implying that passive institutional investors positively influence company governance. The e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f5ed93a0852d29ea113171fddd17771
https://doi.org/10.1016/j.iref.2021.04.025
https://doi.org/10.1016/j.iref.2021.04.025
Autor:
Chunyan Li, Fengkai Zhang, Ning Li, Jianbo He, Wubin Wang, Abbas Muhammad Fahim, Junyi Gai, Guangnan Xing, Liyuan Pan
Publikováno v:
Plant Breeding. 140:870-883
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50ac0b3de5c6576fb86e4313f5dd1579
https://doi.org/10.1111/pbr.12956
https://doi.org/10.1111/pbr.12956
Publikováno v:
IEEE Transactions on Image Processing. 29:1748-1761
Stereo videos for the dynamic scenes often show unpleasant blurred effects due to the camera motion and the multiple moving objects with large depth variations. Given consecutive blurred stereo video frames, we aim to recover the latent clean images,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b772d9c5b8ed0c27a05eca1e5be34670
https://doi.org/10.1109/tip.2019.2945867
https://doi.org/10.1109/tip.2019.2945867
Autor:
Liyuan Pan, Liu Liu, Anthony G. Condon, Gonzalo M. Estavillo, Robert A. Coe, Geoff Bull, Eric A. Stone, Lars Petersson, Vivien Rolland
Publikováno v:
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4af15d9cb4550e6dd7d4776960e70077
https://doi.org/10.1109/wacv51458.2022.00178
https://doi.org/10.1109/wacv51458.2022.00178
Stereo camera systems play an important role in robotics applications to perceive the 3D world. However, conventional cameras have drawbacks such as low dynamic range, motion blur and latency due to the underlying frame-based mechanism. Event cameras
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b9ea81526da57488c09afbe5d6660823
http://arxiv.org/abs/2110.04988
http://arxiv.org/abs/2110.04988
Publikováno v:
CVPR
The dual-pixel (DP) hardware works by splitting each pixel in half and creating an image pair in a single snapshot. Several works estimate depth/inverse depth by treating the DP pair as a stereo pair. However, dual-pixel disparity only occurs in imag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d72ef320534f0db0a3832e0ebdbbcc8d
http://arxiv.org/abs/2012.00301
http://arxiv.org/abs/2012.00301
Publikováno v:
CVPR
Event cameras are bio-inspired sensors that asynchronously report intensity changes in microsecond resolution. DAVIS can capture high dynamics of a scene and simultaneously output high temporal resolution events and low frame-rate intensity images. I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c554a9eed83b98ca9563ad6b462ad1c3
https://doi.org/10.1109/cvpr42600.2020.00174
https://doi.org/10.1109/cvpr42600.2020.00174