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pro vyhledávání: '"Teng, Yao"'
Recognition and generation are two fundamental tasks in computer vision, which are often investigated separately in the exiting literature. However, these two tasks are highly correlated in essence as they both require understanding the underline sem
Externí odkaz:
http://arxiv.org/abs/2407.11433
Diffusion models have achieved great success in image generation, with the backbone evolving from U-Net to Vision Transformers. However, the computational cost of Transformers is quadratic to the number of tokens, leading to significant challenges wh
Externí odkaz:
http://arxiv.org/abs/2405.14224
Video editing is a challenging task that requires manipulating videos on both the spatial and temporal dimensions. Existing methods for video editing mainly focus on changing the appearance or style of the objects in the video, while keeping their st
Externí odkaz:
http://arxiv.org/abs/2312.02936
Autor:
Xu, Yu, Ning, Yunsong, Qin, Zhizhen, Teng, Yao, Feng, Changqing, Tang, Jian, Chen, Yu, Fukao, Yoshinori, Mihara, Satoshi, Oishi, Kou
COMET is a leading experiment to search for coherent conversion of $\mu^- \mathrm{N}\to e^- \mathrm{N}$ with a high-intensity pulsed muon beamline, produced by the innovative slow extraction techniques. Therefore, it is critical to measure the charac
Externí odkaz:
http://arxiv.org/abs/2308.15253
Query-based object detectors directly decode image features into object instances with a set of learnable queries. These query vectors are progressively refined to stable meaningful representations through a sequence of decoder layers, and then used
Externí odkaz:
http://arxiv.org/abs/2308.09564
Camera-based 3D object detection in BEV (Bird's Eye View) space has drawn great attention over the past few years. Dense detectors typically follow a two-stage pipeline by first constructing a dense BEV feature and then performing object detection in
Externí odkaz:
http://arxiv.org/abs/2308.09244
Previous object detectors make predictions based on dense grid points or numerous preset anchors. Most of these detectors are trained with one-to-many label assignment strategies. On the contrary, recent query-based object detectors depend on a spars
Externí odkaz:
http://arxiv.org/abs/2304.04978
Autor:
Liu, Yi, Feng, Changqing, Gregor, Ingrid-Maria, Herkert, Adrian, Huth, Lennart, Stanitzki, Marcel, Teng, Yao, Yang, Chenfei
High-resolution beam telescopes for charged particle tracking are one of the most important and equally demanding infrastructure items at test beam facilities. The main purpose of beam telescopes is to provide precise reference track information of b
Externí odkaz:
http://arxiv.org/abs/2301.05909
Autor:
Xinlu Miao, Teng Yao, Chenxian Dong, Zuhai Chen, Wanting Wei, Zhengyang Shi, Tongtong Xu, Jianjiang Shao, Qiang Niu, Dongsheng Rui, Yunhua Hu, Yizhong Yan
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-15 (2024)
Abstract Understanding the burden associated with occupational asbestos exposure on a global and regional scale is necessary to implement coordinated prevention and control strategies. By the GBD Study 2019, we conducted a comprehensive assessment of
Externí odkaz:
https://doaj.org/article/ab16a1312bcb437589ec1dfa64b28f7c
Publikováno v:
Current Issues in Molecular Biology, Vol 46, Iss 3, Pp 1741-1753 (2024)
The (pro)renin receptor ((P)RR) is an essential component of the renin–angiotensin system (RAS) as a specific single-pass transmembrane receptor for prorenin and renin and has now emerged as a multifunctional protein implicated in a wide variety of
Externí odkaz:
https://doaj.org/article/742a3ebff97e44acbfc588578ba6b9a6