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CorrAdaptor: Adaptive Local Context Learning for Correspondence Pruning

Autor: Zhu, Wei, Liu, Yicheng, He, Yuping, Liao, Tangfei, Zheng, Kang, Xu, Xiaoqiu, Wang, Tao, Lu, Tong

In the fields of computer vision and robotics, accurate pixel-level correspondences are essential for enabling advanced tasks such as structure-from-motion and simultaneous localization and mapping. Recent correspondence pruning methods usually focus

Externí odkaz: http://arxiv.org/abs/2408.08134

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EgoVideo: Exploring Egocentric Foundation Model and Downstream Adaptation

Autor: Pei, Baoqi, Chen, Guo, Xu, Jilan, He, Yuping, Liu, Yicheng, Pan, Kanghua, Huang, Yifei, Wang, Yali, Lu, Tong, Wang, Limin, Qiao, Yu

In this report, we present our solutions to the EgoVis Challenges in CVPR 2024, including five tracks in the Ego4D challenge and three tracks in the EPIC-Kitchens challenge. Building upon the video-language two-tower model and leveraging our meticulo

Externí odkaz: http://arxiv.org/abs/2406.18070

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Emergent Oscillating bound states in a semi-infinite linear waveguide with a point-like $\Lambda$-type quantum emitter driven by a classical field

Autor: He, YuPing, Sun, Ge, Li, Jing, Yang, Ya, Lu, Ling, Zhou, Lan

An oscillating bound state is a phenomenon where excitations mediated by the continuum modes oscillate persistently. Although it is generated by the superposition of two bound states in the continuum (BICs), such phenomenon is said to be unique to gi

Externí odkaz: http://arxiv.org/abs/2405.17994

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Akademický článek

Modernization of National Border Biosecurity Defense System

Autor: Xu Jianguo, Shu Yuelong, Yi Zaijiong, Tian Zhengan, Li Zhenjun, Wang Xiaoli, Shen Hongbing, He Yuping

Publikováno v: 中国工程科学, Vol 25, Iss 5, Pp 21-29 (2023)

Strengthening the infectious disease prevention and control system at the frontier ports of China is the top priority of biosecurity considering the frequent outbreak of infectious diseases worldwide. This study analyzed the current status of biosecu

Externí odkaz: https://doaj.org/article/53bf539af8564b5eba7559277b8ca5a6