Zobrazeno 1 - 10
of 135
pro vyhledávání: '"Ho, Chiu Man"'
Image Super-Resolution (ISR), which aims at recovering High-Resolution (HR) images from the corresponding Low-Resolution (LR) counterparts. Although recent progress in ISR has been remarkable. However, they are way too computationally intensive to be
Externí odkaz:
http://arxiv.org/abs/2206.01777
Autor:
Chen, Jiawei, Ho, Chiu Man
This paper presents a pure transformer-based approach, dubbed the Multi-Modal Video Transformer (MM-ViT), for video action recognition. Different from other schemes which solely utilize the decoded RGB frames, MM-ViT operates exclusively in the compr
Externí odkaz:
http://arxiv.org/abs/2108.09322
Segmentation-based scene text detection methods have been widely adopted for arbitrary-shaped text detection recently, since they make accurate pixel-level predictions on curved text instances and can facilitate real-time inference without time-consu
Externí odkaz:
http://arxiv.org/abs/2105.12789
Real-Time Video Super-Resolution on Smartphones with Deep Learning, Mobile AI 2021 Challenge: Report
Autor:
Ignatov, Andrey, Romero, Andres, Kim, Heewon, Timofte, Radu, Ho, Chiu Man, Meng, Zibo, Lee, Kyoung Mu, Chen, Yuxiang, Wang, Yutong, Long, Zeyu, Wang, Chenhao, Chen, Yifei, Xu, Boshen, Gu, Shuhang, Duan, Lixin, Li, Wen, Bofei, Wang, Diankai, Zhang, Chengjian, Zheng, Shaoli, Liu, Si, Gao, Xiaofeng, Zhang, Kaidi, Lu, Tianyu, Xu, Hui, Zheng, Gao, Xinbo, Wang, Xiumei, Guo, Jiaming, Zhou, Xueyi, Jia, Hao, Yan, Youliang
Video super-resolution has recently become one of the most important mobile-related problems due to the rise of video communication and streaming services. While many solutions have been proposed for this task, the majority of them are too computatio
Externí odkaz:
http://arxiv.org/abs/2105.08826
Autor:
Zhang, Kai, Danelljan, Martin, Li, Yawei, Timofte, Radu, Liu, Jie, Tang, Jie, Wu, Gangshan, Zhu, Yu, He, Xiangyu, Xu, Wenjie, Li, Chenghua, Leng, Cong, Cheng, Jian, Wu, Guangyang, Wang, Wenyi, Liu, Xiaohong, Zhao, Hengyuan, Kong, Xiangtao, He, Jingwen, Qiao, Yu, Dong, Chao, Luo, Xiaotong, Chen, Liang, Zhang, Jiangtao, Suin, Maitreya, Purohit, Kuldeep, Rajagopalan, A. N., Li, Xiaochuan, Lang, Zhiqiang, Nie, Jiangtao, Wei, Wei, Zhang, Lei, Muqeet, Abdul, Hwang, Jiwon, Yang, Subin, Kang, JungHeum, Bae, Sung-Ho, Kim, Yongwoo, Qu, Yanyun, Jeon, Geun-Woo, Choi, Jun-Ho, Kim, Jun-Hyuk, Lee, Jong-Seok, Marty, Steven, Marty, Eric, Xiong, Dongliang, Chen, Siang, Zha, Lin, Jiang, Jiande, Gao, Xinbo, Lu, Wen, Wang, Haicheng, Bhaskara, Vineeth, Levinshtein, Alex, Tsogkas, Stavros, Jepson, Allan, Kong, Xiangzhen, Zhao, Tongtong, Zhao, Shanshan, S, Hrishikesh P, Puthussery, Densen, C V, Jiji, Nan, Nan, Liu, Shuai, Cai, Jie, Meng, Zibo, Ding, Jiaming, Ho, Chiu Man, Wang, Xuehui, Yan, Qiong, Zhao, Yuzhi, Chen, Long, Sun, Long, Wang, Wenhao, Liu, Zhenbing, Lan, Rushi, Umer, Rao Muhammad, Micheloni, Christian
This paper reviews the AIM 2020 challenge on efficient single image super-resolution with focus on the proposed solutions and results. The challenge task was to super-resolve an input image with a magnification factor x4 based on a set of prior examp
Externí odkaz:
http://arxiv.org/abs/2009.06943
Publikováno v:
Computer Vision -- ECCV 2020 Workshops, 2020, 327--342
It is extremely challenging to acquire perceptually plausible images under low-light conditions due to low SNR. Most recently, U-Nets have shown promising results for low-light imaging. However, vanilla U-Nets generate images with artifacts such as c
Externí odkaz:
http://arxiv.org/abs/2009.06604
Human action recognition is regarded as a key cornerstone in domains such as surveillance or video understanding. Despite recent progress in the development of end-to-end solutions for video-based action recognition, achieving state-of-the-art perfor
Externí odkaz:
http://arxiv.org/abs/2008.01057
Autor:
Lugmayr, Andreas, Danelljan, Martin, Timofte, Radu, Ahn, Namhyuk, Bai, Dongwoon, Cai, Jie, Cao, Yun, Chen, Junyang, Cheng, Kaihua, Chun, SeYoung, Deng, Wei, El-Khamy, Mostafa, Ho, Chiu Man, Ji, Xiaozhong, Kheradmand, Amin, Kim, Gwantae, Ko, Hanseok, Lee, Kanghyu, Lee, Jungwon, Li, Hao, Liu, Ziluan, Liu, Zhi-Song, Liu, Shuai, Lu, Yunhua, Meng, Zibo, Michelini, Pablo Navarrete, Micheloni, Christian, Prajapati, Kalpesh, Ren, Haoyu, Seo, Yong Hyeok, Siu, Wan-Chi, Sohn, Kyung-Ah, Tai, Ying, Umer, Rao Muhammad, Wang, Shuangquan, Wang, Huibing, Wu, Timothy Haoning, Wu, Haoning, Yang, Biao, Yang, Fuzhi, Yoo, Jaejun, Zhao, Tongtong, Zhou, Yuanbo, Zhuo, Haijie, Zong, Ziyao, Zou, Xueyi
This paper reviews the NTIRE 2020 challenge on real world super-resolution. It focuses on the participating methods and final results. The challenge addresses the real world setting, where paired true high and low-resolution images are unavailable. F
Externí odkaz:
http://arxiv.org/abs/2005.01996
Image super-resolution is one of the important computer vision techniques aiming to reconstruct high-resolution images from corresponding low-resolution ones. Most recently, deep learning-based approaches have been demonstrated for image super-resolu
Externí odkaz:
http://arxiv.org/abs/2004.13674
Regularization plays an important role in generalization of deep neural networks, which are often prone to overfitting with their numerous parameters. L1 and L2 regularizers are common regularization tools in machine learning with their simplicity an
Externí odkaz:
http://arxiv.org/abs/1811.08056