Avinash Upadhyay

Employment

• Bennett University PhD Scholar
  2021 - Present

Education

• Kurukshetra University M.Sc
  2014 - 2016
• Punjab Technical University Post Diploma (Electronic Product Design and Technology)
  2013 - 2014
• University of Delhi B.Sc(Hons) Electronics
  2010 - 2013

Projects & Funding

Projects & funding information is unavailable.

Publications (35)

• Impact of Physical Channel Impairments and Detector Noise on BB84 Quantum Key Distribution: A Python-Based Simulation Study
  Proceedings of the National Conference on Communications Ncc 2026 DOI: 10.1109/NCC68160.2026.11479102
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• Improving joint localization of humans in infrared images via domain adaptation and transformer-GCN based pose estimation
  Infrared Physics and Technology 2026 DOI: 10.1016/j.infrared.2025.106299
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• SRSegFormer: Joint Super-Resolution and Segmentation Framework for Fine-Scale Root Phenotyping
  Communications in Computer and Information Science 2026 DOI: 10.1007/978-3-032-08508-5_31
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• NovelPoseNet: Synthesizing novel views of 2D poses for absolute and relative monocular 3D human pose estimation
  Pattern Recognition Letters 2026 DOI: 10.1016/j.patrec.2026.02.007
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• Simple yet robust markerless motion capture system using deep learning
  Engineering Applications of Artificial Intelligence 2025 DOI: 10.1016/j.engappai.2025.111905
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• A comprehensive survey on synthetic infrared image synthesis
  Infrared Physics and Technology 2025 DOI: 10.1016/j.infrared.2025.105745
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• Cross-domain Image Translation and Feature Extraction for Large FoV Aerial Crop NIR Image Creation
  Lecture Notes in Electrical Engineering 2025 DOI: 10.1007/978-981-97-5212-6_1
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• RGB to Chlorophyll Fluorescence Image Reconstruction of Maize for Plant Phenotyping
  Lecture Notes in Electrical Engineering 2025 DOI: 10.1007/978-981-97-5212-6_3
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• Simple Yet Robust Markerless Motion Capture System Using Deep Learning
  Ssrn 2025 DOI: 10.2139/ssrn.5088029
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• Unsupervised Thermal Image Pose Estimation and Activity Recognition via Thermal to RGB Domain Transform and Multi-Task Learning
  2025 DOI: 10.1007/978-3-031-88223-4_3
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