Pavan Chennagiri
Research Scientist at Netflix
Austin, Texas, United States
Summary
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Senior🎓
Top SchoolPavan Chennagiri is a Research Scientist at Netflix with eight years of experience specializing in perceptual image and video quality assessment, generative AI, and computer vision. He holds a Ph.D. from UT Austin and a research-focused M.Tech from IISc (best master’s thesis medalist), blending deep academic rigor with industry impact from roles at Samsung Research America and internships at Google. At Netflix he drives video algorithms informed by perceptual models developed during his doctoral work, and he has a track record of translating advanced research into production-ready solutions. Based in Austin, he brings a practical mindset to computational photography challenges and is actively sharing his research via his academic webpage, signaling both thought leadership and openness to collaboration.
8 years of coding experience
8 years of employment as a software developer
Bachelor of Technology (BTech), Electronics and Communications Engineering, Bachelor of Technology (BTech), Electronics and Communications Engineering at National Institute of Technology KarnatakaClass XII, Physics, Chemistry, Mathematics and Electronics, Class XII, Physics, Chemistry, Mathematics and Electronics at Vijaya Composite Pre University CollegeMaster of Technology (Research), Electrical Communication Engineering, Prof. F M Mowadawalla Medal for best Master Thesis - 2018, Master of Technology (Research), Electrical Communication Engineering, Prof. F M Mowadawalla Medal for best Master Thesis - 2018 at Indian Institute of ScienceVijaya High SchoolDoctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at The University of Texas at Austin
English, Kannada, Hindi
Github Skills (12)
framerate10
convolutional-neural-networks10
video-quality10
image-quality10
contrastive-learning10
entropy9
computer-vision8
image-processing8
deep-learning7
frame6
python6
deep-neural-networks4
Programming languages (1)
Github contributions (5)
pavancm/CONTRIQUE
Oct 2021 - Mar 2022
Official implementation for "Image Quality Assessment using Contrastive Learning"
Contributions:26 commits, 1 PR, 26 pushes in 5 months
blind-image-quality-assessmentcomputer-visioncontrastive-learningcontrastive-lossconvolutional-neural-networks
pavancm/GREED
Jul 2020 - Oct 2021
Official implementation for "ST-GREED: Space-Time Generalized EntropicDifferences for Frame Rate Dependent VideoQuality"
Contributions:22 commits, 1 PR, 18 pushes in 1 year 3 months
entropyvideo-quality-assessmentfull-reference-iqaframerateframe
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