Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Cong, Heng"'
Autor:
DeAndres-Tame, Ivan, Tolosana, Ruben, Melzi, Pietro, Vera-Rodriguez, Ruben, Kim, Minchul, Rathgeb, Christian, Liu, Xiaoming, Morales, Aythami, Fierrez, Julian, Ortega-Garcia, Javier, Zhong, Zhizhou, Huang, Yuge, Mi, Yuxi, Ding, Shouhong, Zhou, Shuigeng, He, Shuai, Fu, Lingzhi, Cong, Heng, Zhang, Rongyu, Xiao, Zhihong, Smirnov, Evgeny, Pimenov, Anton, Grigorev, Aleksei, Timoshenko, Denis, Asfaw, Kaleb Mesfin, Low, Cheng Yaw, Liu, Hao, Wang, Chuyi, Zuo, Qing, He, Zhixiang, Shahreza, Hatef Otroshi, George, Anjith, Unnervik, Alexander, Rahimi, Parsa, Marcel, Sébastien, Neto, Pedro C., Huber, Marco, Kolf, Jan Niklas, Damer, Naser, Boutros, Fadi, Cardoso, Jaime S., Sequeira, Ana F., Atzori, Andrea, Fenu, Gianni, Marras, Mirko, Štruc, Vitomir, Yu, Jiang, Li, Zhangjie, Li, Jichun, Zhao, Weisong, Lei, Zhen, Zhu, Xiangyu, Zhang, Xiao-Yu, Biesseck, Bernardo, Vidal, Pedro, Coelho, Luiz, Granada, Roger, Menotti, David
Publikováno v:
IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRw 2024)
Synthetic data is gaining increasing relevance for training machine learning models. This is mainly motivated due to several factors such as the lack of real data and intra-class variability, time and errors produced in manual labeling, and in some c
Externí odkaz:
http://arxiv.org/abs/2404.10378
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:
Spencer, Jaime, Qian, C. Stella, Russell, Chris, Hadfield, Simon, Graf, Erich, Adams, Wendy, Schofield, Andrew J., Elder, James, Bowden, Richard, Cong, Heng, Mattoccia, Stefano, Poggi, Matteo, Suri, Zeeshan Khan, Tang, Yang, Tosi, Fabio, Wang, Hao, Zhang, Youmin, Zhang, Yusheng, Zhao, Chaoqiang
This paper summarizes the results of the first Monocular Depth Estimation Challenge (MDEC) organized at WACV2023. This challenge evaluated the progress of self-supervised monocular depth estimation on the challenging SYNS-Patches dataset. The challen
Externí odkaz:
http://arxiv.org/abs/2211.12174
Publikováno v:
2016 35th Chinese Control Conference (CCC). IEEE, 2016: 10308-10313
Zebrafish is an excellent model organism, which has been widely used in the fields of biological experiments, drug screening, and swarm intelligence. In recent years, there are a large number of techniques for tracking of zebrafish involved in the st
Externí odkaz:
http://arxiv.org/abs/2208.04553
Publikováno v:
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2022, pp. 1201-1210
In this work, we introduce Gradient Siamese Network (GSN) for image quality assessment. The proposed method is skilled in capturing the gradient features between distorted images and reference images in full-reference image quality assessment(IQA) ta
Externí odkaz:
http://arxiv.org/abs/2208.04081
Face anti-spoofing researches are widely used in face recognition and has received more attention from industry and academics. In this paper, we propose the EulerNet, a new temporal feature fusion network in which the differential filter and residual
Externí odkaz:
http://arxiv.org/abs/2208.04076
Autor:
Yang, Ze-Zhou, Zhang, Cheng-Yi, Ou, Yu-Qing, Su, Zhi-Kang, Zhao, Yan, Cong, Heng-Jiang, Ai, Xin-Ping, Qian, Jiang-Feng
Publikováno v:
Rare Metals; May2024, Vol. 43 Issue 5, p2039-2052, 14p
Akademický článek
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Autor:
Zhi-Xue Xu, Qiang Zhang, Gong-Li Ma, Cong-Heng Chen, Yan-Ming He, Li-Hui Xu, Yuan Zhang, Guang-Rong Zhou, Zhen-Hua Li, Hong-Jie Yang, Ping Zhou
Publikováno v:
Journal of Diabetes Research, Vol 2016 (2016)
The abnormal fibrillation of human islet amyloid polypeptide (hIAPP) has been implicated in the development of type II diabetes. Aluminum is known to trigger the structural transformation of many amyloid proteins and induce the formation of toxic agg
Externí odkaz:
https://doaj.org/article/6962cee0fa07479f86abc7759914da94
Akademický článek
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