Education and learning: electronic books or traditional printed books? - Heena Patel; Patricia Morreale (J. Comput. Sci. Coll., 2014)

NTIRE 2019 Challenge on Video Deblurring: Methods and Results. - Seungjun Nah; Radu Timofte; Sungyong Baik; Seokil Hong; Gyeongsik Moon; Sanghyun Son 002; Kyoung Mu Lee; Xintao Wang 002; Kelvin C. K. Chan; Ke Yu; Chao Dong 005; Chen Change Loy; et al. (CVPR Workshops, 2019)

TherISuRNet - A Computationally Efficient Thermal Image Super-Resolution Network. - Vishal M. Chudasama; Heena Patel; Kalpesh Prajapati; Kishor P. Upla; Raghavendra Ramachandra; Kiran B. Raja; Christoph Busch 001 (CVPR Workshops, 2020)

Unsupervised Single Image Super-Resolution Network (USISResNet) for Real-World Data Using Generative Adversarial Network. - Kalpesh Prajapati; Vishal M. Chudasama; Heena Patel; Kishor P. Upla; Raghavendra Ramachandra; Kiran B. Raja; Christoph Busch 001 (CVPR Workshops, 2020)

Thermal Image Super-Resolution Challenge - PBVS 2020. - Rafael E. Rivadeneira; Ángel D. Sappa; Boris Xavier Vintimilla; Lin Guo; Jiankun Hou; Armin Mehri; Parichehr Behjati Ardakani; Heena Patel; Vishal M. Chudasama; Kalpesh Prajapati; Kishor P. Upla; Raghavendra Ramachandra; et al. (CVPR Workshops, 2020)

Unsupervised Real-World Super-resolution Using Variational Auto-encoder and Generative Adversarial Network. - Kalpesh Prajapati; Vishal M. Chudasama; Heena Patel; Kishor P. Upla; Kiran B. Raja; Raghavendra Ramachandra; Christoph Busch 001 (ICPR Workshops (2), 2020)

Unsupervised Single Image Super-Resolution Using Cycle Generative Adversarial Network. - Kalpesh Prajapati; Vishal M. Chudasama; Heena Patel; Kishor P. Upla; Raghavendra Ramachandra; Kiran B. Raja; Christoph Busch 001 (INTAP, 2020)

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)

An unsupervised approach for thermal to visible image translation using autoencoder and generative adversarial network. - Heena Patel; Kishor P. Upla (Mach. Vis. Appl., 2021)

Direct Unsupervised Super-Resolution Using Generative Adversarial Network (DUS-GAN) for Real-World Data. - Kalpesh Prajapati; Vishal M. Chudasama; Heena Patel; Kishor P. Upla; Kiran B. Raja; Raghavendra Ramachandra; Christoph Busch 001 (IEEE Trans. Image Process., 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)

A shallow network for hyperspectral image classification using an autoencoder with convolutional neural network. - Heena Patel; Kishor P. Upla (Multim. Tools Appl., 2022)