Upasana Roy - IEEE Xplore Author Profile

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Author details

Upasana Roy

Publications

4

Citations

5

Publications by Year

20222024

Co-Authors:

Mauro Lemus AlarconPavlos AnastasiadisMinasadat AttariFranz-Josef BeckerFiliz Bunyak

Show All Co-Authors (26)

Upasana Roy

Affiliation

University of Missouri Columbia

Columbia

MO, USA

Publication Topics

AI Models,
Acoustic Attenuation,
Acoustic Coupling,
Acoustic Output,
Acoustic Power,
Aging Network,
Amazon Web Services,
Animal Imaging,
Application Programming Interface,
Array Elements,
Availability Of Training Data,
Average Thickness

Biography

Upasana Roy is a Ph.D. student at the University of Missouri Columbia, Columbia, MO, 65201, USA. Contact her at u.roy@missouri.edu.(Based on document published on 31 January 2025).

Publications

4

Citations

5

Publications by Year

20222024

Co-Authors:

Mauro Lemus Alarcon
Pavlos Anastasiadis
Minasadat Attari
Franz-Josef Becker
Filiz Bunyak

Show All Co-Authors (26)

Author's Published Works

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Showing 1-3 of 3 results

Conferences (2)

Journals (1)

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Rafia Rahim(3)
Muneeb Aadil(2)
Sibt ul Hussain(1)
Yueshu Xu(1)
Ke Yu(1)
Xiamen Universi, China(1)
BOE Technology Group Co., Ltd.(1)
Electrical and Computer Engineering, University of Alberta, Canada(1)
Satrec Initiative, R&D Center(1)
NTIRE(1)
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)(1)
2019 IEEE International Conference on Image Processing (ICIP)(1)
IEEE Access(1)
IEEE(3)
Salt Lake City, UT, USA(1)
Taipei, Taiwan(1)
Convolutional Layers(2)
Convolutional Neural Network(2)
Feature Maps(2)
High-resolution Images(2)
L1 Loss(2)

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Results

Improving Super Resolution Methods Via Incremental Residual Learning

Muneeb Aadil;Rafia Rahim;Sibt ul Hussain

2019 IEEE International Conference on Image Processing (ICIP)

Year: 2019 | Conference Paper |

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Recently, Convolutional Neural Networks (CNNs) have shown promising performance in super-resolution (SR). However, these methods operate primarily on Low Resolution (LR) inputs for memory efficiency but this limits, as we demonstrate, their ability to (i) model high frequency information; and (ii) smoothly translate from LR to High Resolution (HR) space. To this end, we propose a novel Incremental...Show More

Improving Super Resolution Methods Via Incremental Residual Learning

Muneeb Aadil;Rafia Rahim;Sibt ul Hussain

2019 IEEE International Conference on Image Processing (ICIP)

Year: 2019 | Conference Paper |

NTIRE 2018 Challenge on Single Image Super-Resolution: Methods and Results

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

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Year: 2018 | Conference Paper |

Cited by: Papers (183)

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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 solutions and results. The challenge had 4 tracks. Track 1 employed the standard bicubic downscaling setup, while Tracks 2, 3 and 4 had realistic unknown downgrading operators simulating camera image acquisition pipeline. The operators were lear...Show More

NTIRE 2018 Challenge on Single Image Super-Resolution: Methods and Results

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

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Year: 2018 | Conference Paper |

Secure and Fault-Tolerant Distributed Location Management for Intelligent 5G Wireless Networks

Kashif Munir;Ehtesham Zahoor;Rafia Rahim;Xavier Lagrange;Jong-Hyouk Lee

Year: 2018 | Volume: 6 | Journal Article |

Cited by: Papers (7)

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Distributed mobility management (DMM) requires a flattened cellular network architecture to meet ever-increasing traffic demands of mobile users. In order to get rid of centralized mobility entities, it is desirable to manage locations of mobile nodes (MNs) in a distributed but secure and fault-tolerant manner. To address such issues, in this paper, we propose a secure and fault-tolerant mechanism...Show More

Secure and Fault-Tolerant Distributed Location Management for Intelligent 5G Wireless Networks

Kashif Munir;Ehtesham Zahoor;Rafia Rahim;Xavier Lagrange;Jong-Hyouk Lee

Year: 2018 | Volume: 6 | Journal Article |

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