Zobrazeno 1 - 10
of 1 853
pro vyhledávání: '"Gao Si"'
Video Panoptic Segmentation (VPS) is a challenging task that is extends from image panoptic segmentation.VPS aims to simultaneously classify, track, segment all objects in a video, including both things and stuff. Due to its wide application in many
Externí odkaz:
http://arxiv.org/abs/2406.00500
Pixel-level Scene Understanding is one of the fundamental problems in computer vision, which aims at recognizing object classes, masks and semantics of each pixel in the given image. Compared with image scene parsing, video scene parsing introduces t
Externí odkaz:
http://arxiv.org/abs/2406.00587
Autor:
Conde, Marcos V., Lei, Zhijun, Li, Wen, Stejerean, Cosmin, Katsavounidis, Ioannis, Timofte, Radu, Yoon, Kihwan, Gankhuyag, Ganzorig, Lv, Jiangtao, Sun, Long, Pan, Jinshan, Dong, Jiangxin, Tang, Jinhui, Li, Zhiyuan, Wei, Hao, Ge, Chenyang, Zhang, Dongyang, Liu, Tianle, Chen, Huaian, Jin, Yi, Zhou, Menghan, Yan, Yiqiang, Gao, Si, Wu, Biao, Liu, Shaoli, Zheng, Chengjian, Zhang, Diankai, Wang, Ning, Qiu, Xintao, Zhou, Yuanbo, Wu, Kongxian, Dai, Xinwei, Tang, Hui, Deng, Wei, Gao, Qingquan, Tong, Tong, Lee, Jae-Hyeon, Choi, Ui-Jin, Yan, Min, Liu, Xin, Wang, Qian, Ye, Xiaoqian, Du, Zhan, Zhang, Tiansen, Peng, Long, Guo, Jiaming, Di, Xin, Liao, Bohao, Du, Zhibo, Xia, Peize, Pei, Renjing, Wang, Yang, Cao, Yang, Zha, Zhengjun, Han, Bingnan, Yu, Hongyuan, Wu, Zhuoyuan, Wan, Cheng, Liu, Yuqing, Yu, Haodong, Li, Jizhe, Huang, Zhijuan, Huang, Yuan, Zou, Yajun, Guan, Xianyu, Jia, Qi, Zhang, Heng, Yin, Xuanwu, Zuo, Kunlong, Moon, Hyeon-Cheol, Jeong, Tae-hyun, Yang, Yoonmo, Kim, Jae-Gon, Jeong, Jinwoo, Kim, Sunjei
This paper introduces a novel benchmark as part of the AIS 2024 Real-Time Image Super-Resolution (RTSR) Challenge, which aims to upscale compressed images from 540p to 4K resolution (4x factor) in real-time on commercial GPUs. For this, we use a dive
Externí odkaz:
http://arxiv.org/abs/2404.16484
Autor:
Mao, Wei, Zhang, Weiyang, Huang, Chen, Zhou, Liqi, Kim, Judy. S., Gao, Si, Lei, Yu, Wu, Xiaopeng, Hu, Yiming, Pei, Xudong, Fang, Weina, Liu, Xiaoguo, Song, Jingdong, Fan, Chunhai, Nie, Yuefeng, Kirkland, Angus. I., Wang, Peng
Advances in bioimaging methods and hardware facilities have revolutionised the determination of numerous biological structures at atomic or near-atomic resolution. Among these developments, electron ptychography has recently attracted considerable at
Externí odkaz:
http://arxiv.org/abs/2403.16902
Autor:
Hu, Yiming, Gao, Si, Wu, Xiaopeng, Pei, Xudong, Huang, Futao, Mao, Wei, Zhang, Weiyang, Horne, Aidan, Gu, Zhengbin, Wang, Peng
With the development of high-speed electron detectors, four-dimensional scanning transmission electron microscopy (4D-STEM) has emerged as a powerful tool for characterizing microstructures in material science and life science. However, the complexit
Externí odkaz:
http://arxiv.org/abs/2306.08365
Autor:
Wu, Biao, Liu, Shaoli, Zhang, Diankai, Zheng, Chengjian, Gao, Si, Zhang, Xiaofeng, Wang, Ning
Pixel-level Scene Understanding is one of the fundamental problems in computer vision, which aims at recognizing object classes, masks and semantics of each pixel in the given image. Since the real-world is actually video-based rather than a static s
Externí odkaz:
http://arxiv.org/abs/2306.02894
Autor:
Yuan Cao, Shan Gao, Zengzhen Cui, Yuliang Fu, Liangyu Bai, Gao Si, Jixing Fan, Yang Lv, Fang Zhou
Publikováno v:
Journal of Orthopaedic Surgery and Research, Vol 19, Iss 1, Pp 1-8 (2024)
Abstract Background In recent decades, early rehabilitation after Achilles tendon rupture (ATR) repair has been proposed. The aim of this prospective cohort study was to compare different immobilisation durations in order to determine the optimal dur
Externí odkaz:
https://doaj.org/article/6583f46d678c4c4c82168e902635de88
Autor:
Ignatov, Andrey, Timofte, Radu, Chiang, Cheng-Ming, Kuo, Hsien-Kai, Xu, Yu-Syuan, Lee, Man-Yu, Lu, Allen, Cheng, Chia-Ming, Chen, Chih-Cheng, Yong, Jia-Ying, Shuai, Hong-Han, Cheng, Wen-Huang, Jia, Zhuang, Xu, Tianyu, Zhang, Yijian, Bao, Long, Sun, Heng, Zhang, Diankai, Gao, Si, Liu, Shaoli, Wu, Biao, Zhang, Xiaofeng, Zheng, Chengjian, Lu, Kaidi, Wang, Ning, Sun, Xiao, Wu, HaoDong, Liu, Xuncheng, Zhang, Weizhan, Yan, Caixia, Du, Haipeng, Zheng, Qinghua, Wang, Qi, Chen, Wangdu, Duan, Ran, Sun, Mengdi, Zhu, Dan, Chen, Guannan, Cho, Hojin, Kim, Steve, Yue, Shijie, Li, Chenghua, Zhuge, Zhengyang, Chen, Wei, Wang, Wenxu, Zhou, Yufeng, Cai, Xiaochen, Cai, Hengxing, Xu, Kele, Liu, Li, Cheng, Zehua, Lian, Wenyi, Lian, Wenjing
Video super-resolution is one of the most popular tasks on mobile devices, being widely used for an automatic improvement of low-bitrate and low-resolution video streams. While numerous solutions have been proposed for this problem, they are usually
Externí odkaz:
http://arxiv.org/abs/2211.05256
Publikováno v:
Journal of Cancer. 2024, Vol. 15 Issue 7, p1940-1953. 14p.
Autor:
Yang, Ren, Timofte, Radu, Zheng, Meisong, Xing, Qunliang, Qiao, Minglang, Xu, Mai, Jiang, Lai, Liu, Huaida, Chen, Ying, Ben, Youcheng, Zhou, Xiao, Fu, Chen, Cheng, Pei, Yu, Gang, Li, Junyi, Wu, Renlong, Zhang, Zhilu, Shang, Wei, Lv, Zhengyao, Chen, Yunjin, Zhou, Mingcai, Ren, Dongwei, Zhang, Kai, Zuo, Wangmeng, Ostyakov, Pavel, Dmitry, Vyal, Soltanayev, Shakarim, Sergey, Chervontsev, Magauiya, Zhussip, Zou, Xueyi, Yan, Youliang, Michelini, Pablo Navarrete, Lu, Yunhua, Zhang, Diankai, Liu, Shaoli, Gao, Si, Wu, Biao, Zheng, Chengjian, Zhang, Xiaofeng, Lu, Kaidi, Wang, Ning, Canh, Thuong Nguyen, Bach, Thong, Wang, Qing, Sun, Xiaopeng, Ma, Haoyu, Zhao, Shijie, Li, Junlin, Xie, Liangbin, Shi, Shuwei, Yang, Yujiu, Wang, Xintao, Gu, Jinjin, Dong, Chao, Shi, Xiaodi, Nian, Chunmei, Jiang, Dong, Lin, Jucai, Xie, Zhihuai, Ye, Mao, Luo, Dengyan, Peng, Liuhan, Chen, Shengjie, Liu, Xin, Wang, Qian, Liang, Boyang, Dong, Hang, Huang, Yuhao, Chen, Kai, Guo, Xingbei, Sun, Yujing, Wu, Huilei, Wei, Pengxu, Huang, Yulin, Chen, Junying, Lee, Ik Hyun, Khowaja, Sunder Ali, Yoon, Jiseok
This paper reviews the NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video. In this challenge, we proposed the LDV 2.0 dataset, which includes the LDV dataset (240 videos) and 95 additional videos. This challenge incl
Externí odkaz:
http://arxiv.org/abs/2204.09314