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pro vyhledávání: '"Shen, Zehong"'
Autor:
Shen, Zehong, Pi, Huaijin, Xia, Yan, Cen, Zhi, Peng, Sida, Hu, Zechen, Bao, Hujun, Hu, Ruizhen, Zhou, Xiaowei
We present a novel method for recovering world-grounded human motion from monocular video. The main challenge lies in the ambiguity of defining the world coordinate system, which varies between sequences. Previous approaches attempt to alleviate this
Externí odkaz:
http://arxiv.org/abs/2409.06662
Autor:
Cen, Zhi, Pi, Huaijin, Peng, Sida, Shen, Zehong, Yang, Minghui, Zhu, Shuai, Bao, Hujun, Zhou, Xiaowei
Generating human motions from textual descriptions has gained growing research interest due to its wide range of applications. However, only a few works consider human-scene interactions together with text conditions, which is crucial for visual and
Externí odkaz:
http://arxiv.org/abs/2405.07784
We present a novel method for recovering the absolute pose and shape of a human in a pre-scanned scene given a single image. Unlike previous methods that perform sceneaware mesh optimization, we propose to first estimate absolute position and dense s
Externí odkaz:
http://arxiv.org/abs/2306.03847
Autor:
Yan, Shen, Liu, Yu, Wang, Long, Shen, Zehong, Peng, Zhen, Liu, Haomin, Zhang, Maojun, Zhang, Guofeng, Zhou, Xiaowei
Despite the remarkable advances in image matching and pose estimation, image-based localization of a camera in a temporally-varying outdoor environment is still a challenging problem due to huge appearance disparity between query and reference images
Externí odkaz:
http://arxiv.org/abs/2304.07691
We present a novel method for local image feature matching. Instead of performing image feature detection, description, and matching sequentially, we propose to first establish pixel-wise dense matches at a coarse level and later refine the good matc
Externí odkaz:
http://arxiv.org/abs/2104.00680
Finding local correspondences between images with different viewpoints requires local descriptors that are robust against geometric transformations. An approach for transformation invariance is to integrate out the transformations by pooling the feat
Externí odkaz:
http://arxiv.org/abs/1911.05932
Akademický článek
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Cost Reduction First or Innovation First? Latecomer Firms’ Technology Catching-up Strategy Selection
Publikováno v:
2019 IEEE International Symposium on Innovation and Entrepreneurship (TEMS-ISIE).
Based on the composition-based view (CBV), this paper studies the effect of cost-oriented and innovation-oriented catching-up strategies on the performance of latecomer firms by taking 249 A-share listed firms in the communication and electronic equi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1458fce77909c8c982238c148e1dbd54
https://doi.org/10.1109/tems-isie46312.2019.9074347
https://doi.org/10.1109/tems-isie46312.2019.9074347
