Channel Split Convolutional Neural Network (ChaSNet) for Thermal Image Super-Resolution. - Kalpesh Prajapati; Vishal M. Chudasama; Heena Patel; Anjali Sarvaiya; Kishor P. Upla; Kiran B. Raja; Raghavendra Ramachandra; Christoph Busch 001 (CVPR Workshops, 2021)

Thermal Image Super-Resolution Challenge - PBVS 2021. - Rafael E. Rivadeneira; Ángel D. Sappa; Boris Xavier Vintimilla; Sabari Nathan; Priya Kansal; Armin Mehri; Parichehr Behjati Ardakani; Anurag Dalal; Aparna Akula; Darshika Sharma; Shashwat Pandey; Basant Kumar; et al. (CVPR Workshops, 2021)

Learned Smartphone ISP on Mobile NPUs with Deep Learning, Mobile AI 2021 Challenge: Report. - Andrey Ignatov; Cheng-Ming Chiang; Hsien-Kai Kuo; Anastasia Sycheva; Radu Timofte; Min-Hung Chen; Man-Yu Lee; Yu-Syuan Xu; Yu Tseng; Shusong Xu; Jin Guo; Chao-Hung Chen; et al. (CoRR, 2021)

Depthwise Convolution For Compact Object Detector In nighttime Images. - Heena Patel; Kalpesh Prajapati; Anjali Sarvaiya; Kishor P. Upla; Kiran B. Raja; Raghavendra Ramachandra; Christoph Busch 001 (CVPR Workshops, 2022)

Unsupervised Denoising for Super-Resolution (UDSR) of Real-World Images. - Kalpesh Prajapati; Vishal M. Chudasama; Heena Patel; Anjali Sarvaiya; Kishor P. Upla; Kiran B. Raja; Raghavendra Ramachandra; Christoph Busch 001 (IEEE Access, 2022)

Comparative Analysis of Stress Prediction Using Unsupervised Machine Learning Algorithms. - Istuti Maurya; Anjali Sarvaiya; Kishor P. Upla; Raghavendra Ramachandra (CVIP (3), 2023)

COMPUSR: Computationally Efficient Unsupervised Super-Resolution Approach for Wireless Capsule Endoscopy. - Nirban Saha; Anjali Sarvaiya; Kishor P. Upla; Kiran B. Raja; Marius Pedersen (CVIP (2), 2023)

Channel Attention Network for Wireless Capsule Endoscopy Image Super-Resolution. - Anjali Sarvaiya; Hiren Vaghela; Kishor P. Upla; Kiran B. Raja; Marius Pedersen (CVIP (2), 2023)

NTIRE 2023 HR NonHomogeneous Dehazing Challenge Report. - Codruta O. Ancuti; Cosmin Ancuti; Florin-Alexandru Vasluianu; Radu Timofte; Han Zhou 003; Wei Dong 010; Yangyi Liu; Jun Chen 005; Huan Liu 014; Liangyan Li; Zijun Wu; Yubo Dong; et al. (CVPR Workshops, 2023)

NTIRE 2023 Challenge on Image Super-Resolution (×4): Methods and Results. - Yulun Zhang 001; Kai Zhang 008; Zheng Chen 014; Yawei Li 001; Radu Timofte; Junpei Zhang; Kexin Zhang 003; Rui Peng; Yanbiao Ma; Licheng Jia; Huaibo Huang; Xiaoqiang Zhou; et al. (CVPR Workshops, 2023)

DCAN:DenseNet with Channel Attention Network for Super-resolution of Wireless Capsule Endoscopy. - Hiren Vaghela; Anjali Sarvaiya; Pranav Premlani; Abhishek Agarwal; Kishor P. Upla; Kiran B. Raja; Marius Pedersen (EUVIP, 2023)

NTIRE 2024 Challenge on Image Super-Resolution (×4): Methods and Results. - Zheng Chen 014; Zongwei Wu; Eduard Zamfir; Kai Zhang 008; Yulun Zhang 001; Radu Timofte; Xiaokang Yang 001; Hongyuan Yu; Cheng Wan 006; Yuxin Hong; Zhijuan Huang; Yajun Zou; et al. (CVPR Workshops, 2024)

NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results. - Xiaoning Liu 003; Zongwei Wu; Ao Li 007; Florin-Alexandru Vasluianu; Yulun Zhang 001; Shuhang Gu; Le Zhang 001; Ce Zhu; Radu Timofte; Zhi Jin; Hongjun Wu; Chenxi Wang; et al. (CVPR Workshops, 2024)

TUDASR - Transformer Based Unsupervised Domain Adaptive Super-Resolution for Wireless Capsule Endoscopy. - Anjali Sarvaiya; Jay Kadel; Kishor P. Upla; Kiran B. Raja; Marius Pederson (ICPR (Workshops and Challenges, 5), 2024)

NTIRE 2024 Challenge on Image Super-Resolution (⨉4): Methods and Results. - Zheng Chen 014; Zongwei Wu; Eduard Zamfir; Kai Zhang 008; Yulun Zhang 001; Radu Timofte; Xiaokang Yang 001; Hongyuan Yu; Cheng Wan 006; Yuxin Hong; Zhijuan Huang; Yajun Zou; et al. (CoRR, 2024)

NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results. - Zheng Chen 014; Kai Liu; Jue Gong; Jingkai Wang 003; Lei Sun 016; Zongwei Wu; Radu Timofte; Yulun Zhang 001; Xiangyu Kong; Xiaoxuan Yu; Hyunhee Park; Suejin Han; et al. (CVPR Workshops, 2025)

NTIRE 2025 Challenge on Image Super-Resolution (⨉4): Methods and Results. - Zheng Chen 014; Kai Liu; Jue Gong; Jingkai Wang 003; Lei Sun 016; Zongwei Wu; Radu Timofte; Yulun Zhang 001; Xiangyu Kong; Xiaoxuan Yu; Hyunhee Park; Suejin Han; et al. (CoRR, 2025)