Hemant Kumar (Mishra)
I cofounded an AgriTech company as Entrepreneur in Residence (EiR) at Antler Singapore.
I am also working on stealth mode startup for AI & AR/VR area.
Prresenly working as Principal Data Scientist \& Head of Data Center of Excellence Pipecandy Technologies.. PipeCandy, Inc is an California based Internet eCommerce intelligence and SaaS company
acquired by Assembly, Inc. and later changed its name to PACVUE, Inc..
I am pursuing an eMaster program at the
Department of Electrical Engineering, IIT Kanpur
I have also earned a M.S. in Mathematics & Computing from the Indian Institute of Technology Guwahati, India and a
B.S. in Theoretical and Mathematical Physics from the Institute of Science - Banaras Hindu University at Varanasi, India.
Earlier, I was a Software Architect and Data Scientist AI Lead, Developer Advocate in IBM AI & Quantum Computing at IBM, where I work on Machine Learning, Deep Learning, and Artificial Intelligence.
My experience are in both aspect of Cognitive Computing (Natural Language Processing and Computer Vision).
At IBM I've worked on IBM Watson Supply Chain Risk Insight
earstwhile know as "IBM Social Media Risk Insight" & "RiskRover" projects, IBM Pricing IQ
renamed from "Catalogue Data Optimization and Pricing Intelligence Analytics", IBM BlueScan
renamed from "IBM Proposal Professor", Infosys HIMI Analytics Platform ,
and SAMSUNG DRIVELINE.
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Research
I'm interested in machine learning, natural language processing, computer vision, optimization, and image processing.
Much of my research is about inferring the physical world (shape, depth, motion, paint, light, colors, etc) from images.
Representative papers are highlighted.
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Handheld Mobile Photography in Very Low Light
Orly Liba,
Kiran Murthy,
Yun-Ta Tsai,
Timothy Brooks,
Tianfan Xue,
Nikhil Karnad,
Qiurui He,
Jonathan T. Barron,
Dillon Sharlet,
Ryan Geiss,
Samuel W. Hasinoff,
Yael Pritch,
Marc Levoy
SIGGRAPH Asia, 2019
project page
By rethinking metering, white balance, and tone mapping, we can take pictures in places too dark for humans to see clearly.
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A Deep Factorization of Style and Structure in Fonts
Akshay Srivatsan,
Jonathan T. Barron,
Dan Klein,
Taylor Berg-Kirkpatrick
EMNLP, 2019   (Oral Presentation)
Variational auto-encoders can be used to disentangle a characters style from its content.
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Cleaning the USNO-B Catalog Through Automatic Detection of Optical Artifacts
Jonathan T. Barron, Christopher Stumm, David W. Hogg, Dustin Lang, Sam Roweis
The Astronomical Journal, 135, 2008
We use computer vision techniques to identify and remove diffraction spikes and reflection halos in the USNO-B Catalog.
In use at Astrometry.net
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