Avinash Upadhyay

Orcid: 0000-0001-9000-8345

According to our database1, Avinash Upadhyay authored at least 18 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2025
Simple yet robust markerless motion capture system using deep learning.
Eng. Appl. Artif. Intell., 2025

2024
A Comprehensive Survey on Synthetic Infrared Image synthesis.
CoRR, 2024

LWIRPOSE: A novel LWIR Thermal Image Dataset and Benchmark.
CoRR, 2024

A Novel Zero-Shot Real World Spatio-Temporal Super-Resolution (ZS-RW-STSR) Model for Video Super-Resolution.
IEEE Access, 2024

Opinion Unaware Image Quality Assessment via Adversarial Convolutional Variational Autoencoder.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Unsupervised Thermal Image Pose Estimation and Activity Recognition via Thermal to RGB Domain Transform and Multi-Task Learning.
Proceedings of the Pattern Recognition. ICPR 2024 International Workshops and Challenges, 2024

LWIRPOSE: A Novel Long Wave Infrared Thermal Image Pose Dataset and Benchmark.
Proceedings of the IEEE International Conference on Image Processing, 2024

MWIRSTD: A MWIR Small Target Detection Dataset.
Proceedings of the IEEE International Conference on Image Processing, 2024

2023
Cross-Domain Feature Extraction Using CycleGAN for Large FoV Thermal Image Creation.
Proceedings of the Computer Vision and Image Processing - 8th International Conference, 2023

2022
High-Resolution NIR Prediction from RGB Images: Application to Plant Phenotyping.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021
Auto-Encoder Guided Attention Based Network for Hyperspectral Recovery from Real RGB Images.
Proceedings of the Pattern Recognition and Machine Intelligence, 2021

DSAL-GAN: Denoising Based Saliency Prediction with Generative Adversarial Networks.
Proceedings of the Pattern Recognition and Machine Intelligence, 2021

2019
Gradually Growing Residual and Self-attention Based Dense Deep Back Projection Network for Large Scale Super-Resolution of Image.
Proceedings of the Pattern Recognition and Machine Intelligence, 2019

An End-to-End Trainable Framework for Joint Optimization of Document Enhancement and Recognition.
Proceedings of the 2019 International Conference on Document Analysis and Recognition, 2019



2018
IRGUN: Improved Residue Based Gradual Up-Scaling Network for Single Image Super Resolution.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2D-3D CNN Based Architectures for Spectral Reconstruction From RGB Images.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018


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