Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Liao, Yiting"'
Autor:
Moskalenko, Andrey, Bryncev, Alexey, Vatolin, Dmitry, Timofte, Radu, Zhan, Gen, Yang, Li, Tang, Yunlong, Liao, Yiting, Lin, Jiongzhi, Huang, Baitao, Moradi, Morteza, Moradi, Mohammad, Rundo, Francesco, Spampinato, Concetto, Borji, Ali, Palazzo, Simone, Zhu, Yuxin, Sun, Yinan, Duan, Huiyu, Cao, Yuqin, Jia, Ziheng, Hu, Qiang, Min, Xiongkuo, Zhai, Guangtao, Fang, Hao, Cong, Runmin, Lu, Xiankai, Zhou, Xiaofei, Zhang, Wei, Zhao, Chunyu, Mu, Wentao, Deng, Tao, Tavakoli, Hamed R.
This paper reviews the Challenge on Video Saliency Prediction at AIM 2024. The goal of the participants was to develop a method for predicting accurate saliency maps for the provided set of video sequences. Saliency maps are widely exploited in vario
Externí odkaz:
http://arxiv.org/abs/2409.14827
Video saliency prediction aims to identify the regions in a video that attract human attention and gaze, driven by bottom-up features from the video and top-down processes like memory and cognition. Among these top-down influences, language plays a c
Externí odkaz:
http://arxiv.org/abs/2408.12009
Autor:
Liu, Xiaohong, Min, Xiongkuo, Zhai, Guangtao, Li, Chunyi, Kou, Tengchuan, Sun, Wei, Wu, Haoning, Gao, Yixuan, Cao, Yuqin, Zhang, Zicheng, Wu, Xiele, Timofte, Radu, Peng, Fei, Fu, Huiyuan, Ming, Anlong, Wang, Chuanming, Ma, Huadong, He, Shuai, Dou, Zifei, Chen, Shu, Zhang, Huacong, Xie, Haiyi, Wang, Chengwei, Chen, Baoying, Zeng, Jishen, Yang, Jianquan, Wang, Weigang, Fang, Xi, Lv, Xiaoxin, Yan, Jun, Zhi, Tianwu, Zhang, Yabin, Li, Yaohui, Li, Yang, Xu, Jingwen, Liu, Jianzhao, Liao, Yiting, Li, Junlin, Yu, Zihao, Lu, Yiting, Li, Xin, Motamednia, Hossein, Hosseini-Benvidi, S. Farhad, Guan, Fengbin, Mahmoudi-Aznaveh, Ahmad, Mansouri, Azadeh, Gankhuyag, Ganzorig, Yoon, Kihwan, Xu, Yifang, Fan, Haotian, Kong, Fangyuan, Zhao, Shiling, Dong, Weifeng, Yin, Haibing, Zhu, Li, Wang, Zhiling, Huang, Bingchen, Saha, Avinab, Mishra, Sandeep, Gupta, Shashank, Sureddi, Rajesh, Saha, Oindrila, Celona, Luigi, Bianco, Simone, Napoletano, Paolo, Schettini, Raimondo, Yang, Junfeng, Fu, Jing, Zhang, Wei, Cao, Wenzhi, Liu, Limei, Peng, Han, Yuan, Weijun, Li, Zhan, Cheng, Yihang, Deng, Yifan, Li, Haohui, Qu, Bowen, Li, Yao, Luo, Shuqing, Wang, Shunzhou, Gao, Wei, Lu, Zihao, Conde, Marcos V., Wang, Xinrui, Chen, Zhibo, Liao, Ruling, Ye, Yan, Wang, Qiulin, Li, Bing, Zhou, Zhaokun, Geng, Miao, Chen, Rui, Tao, Xin, Liang, Xiaoyu, Sun, Shangkun, Ma, Xingyuan, Li, Jiaze, Yang, Mengduo, Xu, Haoran, Zhou, Jie, Zhu, Shiding, Yu, Bohan, Chen, Pengfei, Xu, Xinrui, Shen, Jiabin, Duan, Zhichao, Asadi, Erfan, Liu, Jiahe, Yan, Qi, Qu, Youran, Zeng, Xiaohui, Wang, Lele, Liao, Renjie
This paper reports on the NTIRE 2024 Quality Assessment of AI-Generated Content Challenge, which will be held in conjunction with the New Trends in Image Restoration and Enhancement Workshop (NTIRE) at CVPR 2024. This challenge is to address a major
Externí odkaz:
http://arxiv.org/abs/2404.16687
Blind video quality assessment (BVQA) plays a pivotal role in evaluating and improving the viewing experience of end-users across a wide range of video-based platforms and services. Contemporary deep learning-based models primarily analyze video cont
Externí odkaz:
http://arxiv.org/abs/2402.19276
Autor:
Gu, Jinjin, Cai, Haoming, Dong, Chao, Ren, Jimmy S., Qiao, Yu, Gu, Shuhang, Timofte, Radu, Cheon, Manri, Yoon, Sungjun, Kang, Byungyeon, Lee, Junwoo, Zhang, Qing, Guo, Haiyang, Bin, Yi, Hou, Yuqing, Luo, Hengliang, Guo, Jingyu, Wang, Zirui, Wang, Hai, Yang, Wenming, Bai, Qingyan, Shi, Shuwei, Xia, Weihao, Cao, Mingdeng, Wang, Jiahao, Chen, Yifan, Yang, Yujiu, Li, Yang, Zhang, Tao, Feng, Longtao, Liao, Yiting, Li, Junlin, Thong, William, Pereira, Jose Costa, Leonardis, Ales, McDonagh, Steven, Xu, Kele, Yang, Lehan, Cai, Hengxing, Sun, Pengfei, Ayyoubzadeh, Seyed Mehdi, Royat, Ali, Fezza, Sid Ahmed, Hammou, Dounia, Hamidouche, Wassim, Ahn, Sewoong, Yoon, Gwangjin, Tsubota, Koki, Akutsu, Hiroaki, Aizawa, Kiyoharu
This paper reports on the NTIRE 2021 challenge on perceptual image quality assessment (IQA), held in conjunction with the New Trends in Image Restoration and Enhancement workshop (NTIRE) workshop at CVPR 2021. As a new type of image processing techno
Externí odkaz:
http://arxiv.org/abs/2105.03072
Autor:
Yang, Ren, Timofte, Radu, Liu, Jing, Xu, Yi, Zhang, Xinjian, Zhao, Minyi, Zhou, Shuigeng, Chan, Kelvin C. K., Zhou, Shangchen, Xu, Xiangyu, Loy, Chen Change, Li, Xin, Liu, Fanglong, Zheng, He, Jiang, Lielin, Zhang, Qi, He, Dongliang, Li, Fu, Dang, Qingqing, Huang, Yibin, Maggioni, Matteo, Fu, Zhongqian, Xiao, Shuai, li, Cheng, Tanay, Thomas, Song, Fenglong, Chao, Wentao, Guo, Qiang, Liu, Yan, Li, Jiang, Qu, Xiaochao, Hou, Dewang, Yang, Jiayu, Jiang, Lyn, You, Di, Zhang, Zhenyu, Mou, Chong, Koshelev, Iaroslav, Ostyakov, Pavel, Somov, Andrey, Hao, Jia, Zou, Xueyi, Zhao, Shijie, Sun, Xiaopeng, Liao, Yiting, Zhang, Yuanzhi, Wang, Qing, Zhan, Gen, Guo, Mengxi, Li, Junlin, Lu, Ming, Ma, Zhan, Michelini, Pablo Navarrete, Wang, Hai, Chen, Yiyun, Guo, Jingyu, Zhang, Liliang, Yang, Wenming, Kim, Sijung, Oh, Syehoon, Wang, Yucong, Cai, Minjie, Hao, Wei, Shi, Kangdi, Li, Liangyan, Chen, Jun, Gao, Wei, Liu, Wang, Zhang, Xiaoyu, Zhou, Linjie, Lin, Sixin, Wang, Ru
This paper reviews the first NTIRE challenge on quality enhancement of compressed video, with a focus on the proposed methods and results. In this challenge, the new Large-scale Diverse Video (LDV) dataset is employed. The challenge has three tracks.
Externí odkaz:
http://arxiv.org/abs/2104.10781
Autor:
Liao, Yiting, Peng, Lanzhen, Zhou, Xiaosong, Luo, Jin, Xu, Limei, Ning, Xiaomei, Zhou, Xiaoqin, Zhou, Xunfu, Fang, Yueping
Publikováno v:
In Applied Surface Science August 2023
Autor:
Zhang, Yanyan, He, Fen, Hu, Wei, Sun, Jingqi, Zhao, Hongyan, Cheng, Yuzhi, Tang, Zhanyou, He, Jiarui, Wang, Xiangyuan, Liu, Tairan, Luo, Cong, Lu, Zhongwei, Xiang, Mei, Liao, Yiting, Wang, Yihao, Li, Junjun, Xia, Jiliang
Publikováno v:
Annals of Hematology; Sep2024, Vol. 103 Issue 9, p3627-3637, 11p
Akademický článek
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Publikováno v:
Chinese Medicine, Vol 5, Iss 1, p 14 (2010)
Abstract Background Pueraria lobata flower (Gehua) is a medicinal herb to treat intoxication, hepatic and gastrointestinal tract lesion induced by alcohol. This study aims to develop a new HPLC method for the determination of two major isoflavones in
Externí odkaz:
https://doaj.org/article/cca28e93967b447584c9f5ce62778cbf