Avinash Upadhyay

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Radu TimofteHumboldt Professor for AI and Computer Vision, University of WürzburgVerified email at uni-wuerzburg.de
Santanu ChaudhuryIIT DelhiVerified email at ee.iitd.ac.in
Luc Van Goolprofessor computer vision ETHZ,KU Leuven,INSAIT,Head Toyota Lab TRACE @KUL&ETHVerified email at insait.ai
Boaz AradBen-Gurion University of the NegevVerified email at bgu.ac.il
Sriharsha KoundinyaCSIR-CEERIVerified email at ceeri.res.in
Rudrabha MukhopadhyayPhD Scholar, CVIT, IIIT - HyderabadVerified email at research.iiit.ac.in
Anupama RayResearch Scientist, IBM Research AI, IndiaVerified email at ee.iitd.ac.in
Dr. Prerana MukherjeeJawaharlal Nehru University, New Delhi, IndiaVerified email at jnu.ac.in
Dr. Manoj SharmaBennett UniversityVerified email at bennett.edu.in
Megh MakwanaCCS Computers Pvt Ltd
Lei ZhangChair Professor, Dept. of Computing, The Hong Kong Polytechnic UniversityVerified email at comp.polyu.edu.hk
Ming-Hsuan YangUniversity of California at Merced; GoogleVerified email at ucmerced.edu
Eirikur AgustssonResearch Scientist @ GoogleVerified email at google.com

Avinash Upadhyay

Bennett University

Verified email at bennett.edu.in

Deep Learning Computer vision Emebedded systems Internet of Things Cognitive computing


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NTIRE 2018 Challenge on Single Image Super-Resolution: Methods and Results. Timofte R., Gu S., Wu J., & Van Gool L., Avinash Upadhyay Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018	345	2018
Ntire 2018 challenge on spectral reconstruction from rgb images B Arad, O Ben-Shahar, R Timofte, L Van Gool, L Zhang, MH Yang, ...	211	2018
2D-3D CNN based architectures for spectral reconstruction from RGB images S Koundinya, H Sharma, M Sharma, A Upadhyay, R Manekar, ... IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops …, 2018	57	2018
Ntire 2019 challenge on video super-resolution: Methods and results S Nah, R Timofte, S Gu, S Baik, S Hong, G Moon, S Son, K Mu Lee Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	40	2019
An End-to-End Trainable Framework for Joint Optimization of Document Enhancement and Recognition A Ray, M Sharma, A Upadhyay, M Makwana, S Chaudhury, A Trivedi, ... 2019 International Conference on Document Analysis and Recognition (ICDAR …, 2019	19	2019
DSAL-GAN: Denoising based Saliency Prediction with Generative Adversarial Networks P Mukherjee, M Sharma, M Makwana, AP Singh, A Upadhyay, A Trivedi, ... arXiv preprint arXiv:1904.01215, 2019	10	2019
Irgun: Improved residue based gradual up-scaling network for single image super resolution M Sharma, R Mukhopadhyay, A Upadhyay, S Koundinya, A Shukla, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018	7	2018
Opinion unaware image quality assessment via adversarial convolutional variational autoencoder A Shukla, A Upadhyay, S Bhugra, M Sharma Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024	4	2024
High-Resolution NIR Prediction from RGB Images: Application to Plant Phenotyping A Shukla, A Upadhyay, M Sharma, V Chinnusamy, S Kumar 2022 IEEE International Conference on Image Processing (ICIP), 4058-4062, 2022	4	2022
Deep temporal networks for EEG-based motor imagery recognition N Sharma, A Upadhyay, M Sharma, A Singhal Scientific Reports 13 (1), 2023	2	2023
Gradually Growing Residual and Self-attention Based Dense Deep Back Projection Network for Large Scale Super-Resolution of Image M Sharma, A Upadhyay, AP Singh, M Makwana, S Bhugra, B Lall, ... Pattern Recognition and Machine Intelligence: 8th International Conference …, 2019		2019

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