Zobrazeno 1 - 10
of 96
pro vyhledávání: '"Lee, Ik Hyun"'
Low-light image enhancement (LLIE) is essential for numerous computer vision tasks, including object detection, tracking, segmentation, and scene understanding. Despite substantial research on improving low-quality images captured in underexposed con
Externí odkaz:
http://arxiv.org/abs/2410.09831
Autor:
Zhang, Howard, Ba, Yunhao, Yang, Ethan, Upadhyay, Rishi, Wong, Alex, Kadambi, Achuta, Guo, Yun, Xiao, Xueyao, Wang, Xiaoxiong, Li, Yi, Chang, Yi, Yan, Luxin, Zheng, Chaochao, Wang, Luping, Liu, Bin, Khowaja, Sunder Ali, Yoon, Jiseok, Lee, Ik-Hyun, Zhang, Zhao, Wei, Yanyan, Ren, Jiahuan, Zhao, Suiyi, Zheng, Huan
This report reviews the results of the GT-Rain challenge on single image deraining at the UG2+ workshop at CVPR 2023. The aim of this competition is to study the rainy weather phenomenon in real world scenarios, provide a novel real world rainy image
Externí odkaz:
http://arxiv.org/abs/2403.12327
Autor:
Khowaja, Sunder Ali, Nkenyereye, Lewis, Mujtaba, Ghulam, Lee, Ik Hyun, Fortino, Giancarlo, Dev, Kapal
With the surge in emerging technologies such as Metaverse, spatial computing, and generative AI, the application of facial style transfer has gained a lot of interest from researchers as well as startups enthusiasts alike. StyleGAN methods have paved
Externí odkaz:
http://arxiv.org/abs/2307.09020
This technical report briefly introduces to the D$^{3}$Net proposed by our team "TUK-IKLAB" for Atmospheric Turbulence Mitigation in $UG2^{+}$ Challenge at CVPR 2022. In the light of test and validation results on textual images to improve text recog
Externí odkaz:
http://arxiv.org/abs/2208.12332
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
Autor:
Khowaja, Sunder Ali, Lee, Ik Hyun, Dev, Kapal, Jarwar, Muhammad Aslam, Qureshi, Nawab Muhammad Faseeh
Publikováno v:
IEEE Transactions on Network Science and Engineering, 2022
The past decade has seen a rapid adoption of Artificial Intelligence (AI), specifically the deep learning networks, in Internet of Medical Things (IoMT) ecosystem. However, it has been shown recently that the deep learning networks can be exploited b
Externí odkaz:
http://arxiv.org/abs/2201.04569
Autor:
Khowaja, Sunder Ali, Nkenyereye, Lewis, Mujtaba, Ghulam, Lee, Ik Hyun, Fortino, Giancarlo, Dev, Kapal
Publikováno v:
In Information Fusion December 2024 112
Publikováno v:
In Expert Systems With Applications 15 March 2024 238 Part C
Autor:
Khowaja, Sunder Ali, Khuwaja, Parus, Dharejo, Fayaz Ali, Raza, Saleem, Lee, Ik Hyun, Naqvi, Rizwan Ali, Dev, Kapal
Publikováno v:
In Information Fusion February 2024 102
Publikováno v:
In Computer Vision and Image Understanding January 2023 227