SM
Subhayan Mukherjee
John Deere, Light Labs, University of Alberta, National Institute of Technology Karnataka, Tetra Tech Canada, Heritage Institute of Technology
Employment
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John Deere Computer Vision Research Engineer2022 - Present
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Light Labs Computer Vision Research Engineer2022 - 2022
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Tetra Tech Canada Software Developer Level 2 ( Scientist II )2020 - 2022
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Dolby Laboratories Inc Sunnyvale Office Video Imaging Research Intern2016 - 2017
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University of Alberta Graduate Assistant / Casual Employee2015 - 2020
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Informatica Business Solutions Pvt Ltd Software Engineer R&D2014 - 2015
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National Institute of Technology Karnataka Teaching Assistant2012 - 2014
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Infosys Technologies Ltd Software Engineer2009 - 2011
Education
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University of Alberta Doctor of Philosophy2015 - 2020
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National Institute of Technology Karnataka Master of Technology (by Research)2012 - 2014
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Heritage Institute of Technology Bachelor of Technology2005 - 2009
Projects & Funding
Projects & funding information is unavailable.
Publications (21)
- IGS-CMAES: A Two-Stage Optimization for Ground Deformation and DEM Error Estimation in Time Series InSAR Data Save
- An Unsupervised Generative Neural Approach for InSAR Phase Filtering and Coherence Estimation Save
- DeepInSAR—A Deep Learning Framework for SAR Interferometric Phase Restoration and Coherence Estimation Save
- Potential of Deep Features for Opinion-Unaware, Distortion-Unaware, No-Reference Image Quality Assessment Save
- CNN-based real-time parameter tuning for optimizing denoising filter performance Save
- Adversarial Training for Dual-Stage Image Denoising Enhanced with Feature Matching Save
- EREL-Net: A Remedy for Industrial Bottle Defect Detection Save
- Atlas-Free Method of Periventricular Hemorrhage Detection from Preterm Infants’ T1 MR Images Save
- Adaptive Dithering Using Curved Markov-Gaussian Noise in the Quantized Domain for Mapping SDR to HDR Image Save
- A fast segmentation-free fully automated approach to white matter injury detection in preterm infants Save