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pro vyhledávání: '"Zhang, Liyan"'
Autor:
Zhang, Liyan
The transcription factor Krüppel homolog 1 (Kr-h1) is crucial in multiple reproductive processes of Aedes aegypti mosquitoes, including previtellogenesis, vitellogenesis, and oogenesis. This study explores the interaction between Kr-h1 and its poten
Externí odkaz:
https://hdl.handle.net/10919/120672
In this paper, we study the problem of Text-to-Image Person Re-identification (TIReID), which aims to find images of the same identity described by a text sentence from a pool of candidate images. Benefiting from Vision-Language Pre-training, such as
Externí odkaz:
http://arxiv.org/abs/2409.09427
Occluded person re-identification (re-ID) presents a challenging task due to occlusion perturbations. Although great efforts have been made to prevent the model from being disturbed by occlusion noise, most current solutions only capture information
Externí odkaz:
http://arxiv.org/abs/2311.03828
Text-to-image person re-identification (TIReID) retrieves pedestrian images of the same identity based on a query text. However, existing methods for TIReID typically treat it as a one-to-one image-text matching problem, only focusing on the relation
Externí odkaz:
http://arxiv.org/abs/2310.11210
Publikováno v:
ACM International Conference on Multimedia 2023
Traditional text-based person re-identification (ReID) techniques heavily rely on fully matched multi-modal data, which is an ideal scenario. However, due to inevitable data missing and corruption during the collection and processing of cross-modal d
Externí odkaz:
http://arxiv.org/abs/2309.17104
Occlusion perturbation presents a significant challenge in person re-identification (re-ID), and existing methods that rely on external visual cues require additional computational resources and only consider the issue of missing information caused b
Externí odkaz:
http://arxiv.org/abs/2307.07187
Thanks to the advantages of the friendly annotations and the satisfactory performance, Weakly-Supervised Semantic Segmentation (WSSS) approaches have been extensively studied. Recently, the single-stage WSSS was awakened to alleviate problems of the
Externí odkaz:
http://arxiv.org/abs/2304.09059
Part feature learning is critical for fine-grained semantic understanding in vehicle re-identification. However, existing approaches directly model part features and global features, which can easily lead to serious gradient vanishing issues due to t
Externí odkaz:
http://arxiv.org/abs/2301.09498
Autor:
Zhang, Liyan1 (AUTHOR), Chen, Xin1 (AUTHOR), Wang, Xinlin1 (AUTHOR), Zhou, Yinyi1 (AUTHOR), Fang, Yuan1 (AUTHOR), Gu, Xingliang1 (AUTHOR), Zhang, Ziyu1 (AUTHOR), Sun, Qiuhan1 (AUTHOR), Li, Nianci1 (AUTHOR), Xu, Lei2,3 (AUTHOR) sdphxl@email.sdu.edu.cn, Tan, Fangzhi1 (AUTHOR) 101013491@seu.edu.cn, Chai, Renjie1,4,5,6,7 (AUTHOR) renjiec@seu.edu.cn, Qi, Jieyu1,4,5 (AUTHOR) jieyuqi@seu.edu.cn
Publikováno v:
Advanced Science. 8/7/2024, Vol. 11 Issue 29, p1-16. 16p.
Autor:
Xu, Changling1,2,3 (AUTHOR), Zhang, Liyan4 (AUTHOR), Zhou, Yinyi4 (AUTHOR), Du, Haoliang5 (AUTHOR), Qi, Jieyu4,6,7 (AUTHOR), Tan, Fangzhi4 (AUTHOR), Peng, Li8 (AUTHOR), Gu, Xingliang4 (AUTHOR), Li, Nianci4 (AUTHOR), Sun, Qiuhan4 (AUTHOR), Zhang, Ziyu4 (AUTHOR), Lu, Yicheng4 (AUTHOR), Qian, Xiaoyun5 (AUTHOR), Tong, Busheng9 (AUTHOR) tongbusheng@ahmu.edu.cn, Sun, Jiaqiang10 (AUTHOR) sunjq0605@126.com, Chai, Renjie4,6,7,11,12 (AUTHOR) renjiec@seu.edu.cn, Shi, Yi1,2,3 (AUTHOR) shiyi1614@126.com
Publikováno v:
Cell Proliferation. Aug2024, Vol. 57 Issue 8, p1-14. 14p.