Zobrazeno 1 - 10
of 325
pro vyhledávání: '"Liu, Hongye"'
The pretrain-then-finetune paradigm has been widely used in various unimodal and multimodal tasks. However, finetuning all the parameters of a pre-trained model becomes prohibitive as the model size grows exponentially. To address this issue, the ada
Externí odkaz:
http://arxiv.org/abs/2308.14274
Autor:
Liu, Xiaohong, Min, Xiongkuo, Sun, Wei, Zhang, Yulun, Zhang, Kai, Timofte, Radu, Zhai, Guangtao, Gao, Yixuan, Cao, Yuqin, Kou, Tengchuan, Dong, Yunlong, Jia, Ziheng, Li, Yilin, Wu, Wei, Hu, Shuming, Deng, Sibin, Xiao, Pengxiang, Chen, Ying, Li, Kai, Zhao, Kai, Yuan, Kun, Sun, Ming, Cong, Heng, Wang, Hao, Fu, Lingzhi, Zhang, Yusheng, Zhang, Rongyu, Shi, Hang, Xu, Qihang, Xiao, Longan, Ma, Zhiliang, Agarla, Mirko, Celona, Luigi, Rota, Claudio, Schettini, Raimondo, Huang, Zhiwei, Li, Yanan, Wang, Xiaotao, Lei, Lei, Liu, Hongye, Hong, Wei, Chuang, Ironhead, Lin, Allen, Guan, Drake, Chen, Iris, Lou, Kae, Huang, Willy, Tasi, Yachun, Kao, Yvonne, Fan, Haotian, Kong, Fangyuan, Zhou, Shiqi, Liu, Hao, Lai, Yu, Chen, Shanshan, Wang, Wenqi, Wu, Haoning, Chen, Chaofeng, Zhu, Chunzheng, Guo, Zekun, Zhao, Shiling, Yin, Haibing, Wang, Hongkui, Meftah, Hanene Brachemi, Fezza, Sid Ahmed, Hamidouche, Wassim, Déforges, Olivier, Shi, Tengfei, Mansouri, Azadeh, Motamednia, Hossein, Bakhtiari, Amir Hossein, Aznaveh, Ahmad Mahmoudi
This paper reports on the NTIRE 2023 Quality Assessment of Video Enhancement Challenge, which will be held in conjunction with the New Trends in Image Restoration and Enhancement Workshop (NTIRE) at CVPR 2023. This challenge is to address a major cha
Externí odkaz:
http://arxiv.org/abs/2307.09729
Autor:
Tang, Jingqun, Zhang, Wenqing, Liu, Hongye, Yang, MingKun, Jiang, Bo, Hu, Guanglong, Bai, Xiang
Recently, transformer-based methods have achieved promising progresses in object detection, as they can eliminate the post-processes like NMS and enrich the deep representations. However, these methods cannot well cope with scene text due to its extr
Externí odkaz:
http://arxiv.org/abs/2203.15221
Autor:
Li, Yuenan, Gu, Yansheng, Liu, Hongye, Fu, Zhongbiao, Tang, Xiaoming, Feng, Hangjian, Xu, Xinghua, Guan, Shuo
Publikováno v:
In Catena October 2024 245
Publikováno v:
In Applied Acoustics 5 September 2024 224
Autor:
Zhang, Dalong, Yang, Huihua, Chen, Xiaolu, Li, Yan, Li, Yunzhou, Liu, Hongye, Wu, Xulin, Wei, Min
Publikováno v:
In Horticultural Plant Journal September 2024 10(5):1165-1176
Recently, occluded person re-identification(Re-ID) remains a challenging task that people are frequently obscured by other people or obstacles, especially in a crowd massing situation. In this paper, we propose a self-supervised deep learning method
Externí odkaz:
http://arxiv.org/abs/2202.04243
Autor:
Liu, Hongye1,2 (AUTHOR) liuhongye@usst.edu.cn, Huang, Ziqi1 (AUTHOR) sunmaoxun@usst.edu.cn, Yin, Zhuang1 (AUTHOR), Sun, Maoxun1 (AUTHOR), Bo, Luyu2 (AUTHOR), Li, Teng2 (AUTHOR), Tian, Zhenhua2 (AUTHOR) tianz@vt.edu
Publikováno v:
Polymers (20734360). Jun2024, Vol. 16 Issue 12, p1638. 20p.
Autor:
Liu, Hongye, Teng, Ruonan, Zhang, Siying, Zhao, Bing, Ruan, Weidong, He, Dong, Jung, Young Mee
Publikováno v:
In Colloids and Surfaces A: Physicochemical and Engineering Aspects 5 December 2024 702 Part 2
Publikováno v:
In Digital Signal Processing December 2024 155