Search Results - "Ul Hussain, Sibt"

Sequence to sequence networks for Roman-Urdu to Urdu transliteration by Alam, Mehreen, ul Hussain, Sibt

“…Neural Machine Translation models have replaced the conventional phrase based statistical translation methods since the former takes a generic, scalable,…”
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Improving Super Resolution Methods Via Incremental Residual Learning by Aadil, Muneeb, Rahim, Rafia, Hussain, Sibt ul

“…Recently, Convolutional Neural Networks (CNNs) have shown promising performance in super-resolution (SR). However, these methods operate primarily on Low…”
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Large Scale Font Independent Urdu Text Recognition System by Rehman, Atique Ur, Hussain, Sibt Ul

“…OCR algorithms have received a significant improvement in performance recently, mainly due to the increase in the capabilities of artificial intelligence…”
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NTIRE 2018 Challenge on Single Image Super-Resolution: Methods and Results by Timofte, Radu, Gu, Shuhang, Wu, Jiqing, Van Gool, Luc, Zhang, Lei, Yang, Ming-Hsuan, Haris, Muhammad, Shakhnarovich, Greg, Ukita, Norimichi, Hu, Shijia, Bei, Yijie, Hui, Zheng, Jiang, Xiao, Gu, Yanan, Liu, Jie, Wang, Yifan, Perazzi, Federico, McWilliams, Brian, Sorkine-Hornung, Alexander, Sorkine-Hornung, Olga, Schroers, Christopher, Yu, Jiahui, Fan, Yuchen, Yang, Jianchao, Xu, Ning, Wang, Zhaowen, Wang, Xinchao, Huang, Thomas S., Wang, Xintao, Yu, Ke, Hui, Tak-Wai, Dong, Chao, Lin, Liang, Change Loy, Chen, Park, Dongwon, Kim, Kwanyoung, Chun, Se Young, Zhang, Kai, Liu, Pengjv, Zuo, Wangmeng, Guo, Shi, Liu, Jiye, Xu, Jinchang, Liu, Yijiao, Xiong, Fengye, Dong, Yuan, Bai, Hongliang, Damian, Alexandru, Ravi, Nikhil, Menon, Sachit, Rudin, Cynthia, Seo, Junghoon, Jeon, Taegyun, Koo, Jamyoung, Jeon, Seunghyun, Kim, Soo Ye, Choi, Jae-Seok, Ki, Sehwan, Seo, Soomin, Sim, Hyeonjun, Kim, Saehun, Kim, Munchurl, Chen, Rong, Zeng, Kun, Guo, Jinkang, Qu, Yanyun, Li, Cuihua, Ahn, Namhyuk, Kang, Byungkon, Sohn, Kyung-Ah, Yuan, Yuan, Pang, Jiahao, Xu, Xiangyu, Zhao, Yan, Deng, Wei, Ul Hussain, Sibt, Aadil, Muneeb, Rahim, Rafia, Cai, Xiaowang, Huang, Fang, Xu, Yueshu, Michelini, Pablo Navarrete, Zhu, Dan, Liu, Hanwen, Kim, Jun-Hyuk, Lee, Jong-Seok, Huang, Yiwen, Qiu, Ming, Jing, Liting, Zeng, Jiehang, Wang, Ying, Sharma, Manoj, Mukhopadhyay, Rudrabha, Upadhyay, Avinash, Koundinya, Sriharsha, Shukla, Ankit, Chaudhury, Santanu, Zhang, Zhe, Hu, Yu Hen, Fu, Lingzhi

“…This paper reviews the 2nd NTIRE challenge on single image super-resolution (restoration of rich details in a low resolution image) with focus on proposed…”
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Sequence to Sequence Networks for Roman-Urdu to Urdu Transliteration by Alam, Mehreen, Hussain, Sibt ul

“…Neural Machine Translation models have replaced the conventional phrase based statistical translation methods since the former takes a generic, scalable,…”
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Improving Super-Resolution Methods via Incremental Residual Learning by Aadil, Muneeb, Rahim, Rafia, Hussain, Sibt ul

“…Recently, Convolutional Neural Networks (CNNs) have shown promising performance in super-resolution (SR). However, these methods operate primarily on Low…”
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Recovering Homography from Camera Captured Documents using Convolutional Neural Networks by Abbas, Syed Ammar, Hussain, Sibt ul

“…Removing perspective distortion from hand held camera captured document images is one of the primitive tasks in document analysis, but unfortunately, no such…”
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Predicting the pathogenicity of protein coding mutations using Natural Language Processing by Rehmat, Naeem, Farooq, Hammad, Kumar, Sanjay, ul Hussain, Sibt, Naveed, Hammad

“…DNA-Sequencing of tumor cells has revealed thousands of genetic mutations. However, cancer is caused by only some of them. Identifying mutations that…”
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Intelligent EHRs: Predicting Procedure Codes From Diagnosis Codes by Haq, Hasham Ul, Ahmad, Rameel, Hussain, Sibt Ul

“…In order to submit a claim to insurance companies, a doctor needs to code a patient encounter with both the diagnosis (ICDs) and procedures performed (CPTs) in…”
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End-to-end Trained CNN Encode-Decoder Networks for Image Steganography by Rehman, Atique ur, Rahim, Rafia, Nadeem, M Shahroz, Hussain, Sibt ul

“…All the existing image steganography methods use manually crafted features to hide binary payloads into cover images. This leads to small payload capacity and…”
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