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pro vyhledávání: '"Ye, Jinwei"'
Tackling image degradation due to atmospheric turbulence, particularly in dynamic environment, remains a challenge for long-range imaging systems. Existing techniques have been primarily designed for static scenes or scenes with small motion. This pa
Externí odkaz:
http://arxiv.org/abs/2404.13605
Moving object segmentation in the presence of atmospheric turbulence is highly challenging due to turbulence-induced irregular and time-varying distortions. In this paper, we present an unsupervised approach for segmenting moving objects in videos do
Externí odkaz:
http://arxiv.org/abs/2311.03572
Reconstructing and tracking deformable surface with little or no texture has posed long-standing challenges. Fundamentally, the challenges stem from textureless surfaces lacking features for establishing cross-image correspondences. In this work, we
Externí odkaz:
http://arxiv.org/abs/2308.13678
Autor:
Ye, Jinwei
This study investigates the grammatical distribution and semantic meaning of intensifier -gwai2 鬼 in Cantonese. Compared with previous studies, the present study gives a more detailed analysis on the grammatical requirements of intensifier -gwai2,
Recovering 3D geometry of underwater scenes is challenging because of non-linear refraction of light at the water-air interface caused by the camera housing. We present a light field-based approach that leverages properties of angular samples for hig
Externí odkaz:
http://arxiv.org/abs/2109.02116
Autor:
Ding, Yuqi, Ye, Jinwei, Barbalata, Corina, Oubre, James, Lemoine, Chandler, Agostinho, Jacob, Palardy, Genevieve
Finishing operations on large-scale composite components like wind turbine blades, including trimming and sanding, often require multiple workers and part repositioning. In the composites manufacturing industry, automation of such processes is challe
Externí odkaz:
http://arxiv.org/abs/2108.10819
Akademický článek
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Autor:
Lin, Qin, Zhang, Rujun, Cai, Feiyan, Chen, Yanyi, Ye, Jinwei, Wang, Jinping, Zheng, Hairong, Zhang, Huailing
Publikováno v:
In Ultrasonics July 2023 132
Particle Imaging Velocimetry (PIV) estimates the flow of fluid by analyzing the motion of injected particles. The problem is challenging as the particles lie at different depths but have similar appearance and tracking a large number of particles is
Externí odkaz:
http://arxiv.org/abs/1904.06841
Recovering the shape and reflectance of non-Lambertian surfaces remains a challenging problem in computer vision since the view-dependent appearance invalidates traditional photo-consistency constraint. In this paper, we introduce a novel concentric
Externí odkaz:
http://arxiv.org/abs/1904.04875