Ragav Venkatesan
Senior Software Engineer at Nvidia AI. Previously, an Applied Scientist at Amazon Alexa AI, AWS AI Labs, Research Scientist at AWS Sagemaker and Researcher Intern at Intel. Received Doctorate in Computer Science and Masters in Electrical Engineering from Arizona State University. Founder of Thaalam Studios, Bass player and producer for Variety Pack.
Professional News & Updates
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Nov 2022I am serving as a reviewer for CVPR 2023.
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Aug 2022I am serving as a program committee member at AAAI 2023.
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Mar 2022I am serving as a special reviewer for IEEE Signal Processing Letters.
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Aug 2021I am starting a new job as a Senior Software Engineer at Nvidia AI.
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Aug 2021I am serving as a program committee member at AAAI 2022.
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Aug 2021I am serving as a program committee member at WACV 2022.
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Sep 2020I have a paper accepted to the insights workshop at EMNLP 2020.
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Sep 2020I am serving as a program committee member at AAAI 2021.
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Aug 2020I authored a new book chapter on Domain Adaptation.
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Jul 2020I am serving as a program committee member at WACV 2021.
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April 2020New arXiv Pre-print titled "Out-of-the-box channel pruned networks" published.
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Mar 2020I have a patent issued on privacy preserving ML.
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Nov 2019I will be starting a new role as an Applied Scientist at Alexa AI.
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Aug 2019Code for d-SNE is now available.
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May 2019arXiv Pre-print titled "dSNE: Domain adaptation using Stochastic Neighborhood Embedding" is now available.
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Mar 2019My CNN book is now available in a Chinese translation in mainland China.
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Mar 2019My paper on 'Domain Adaptation using Stochastic Neighborhood Embedding' has been accepted for an Oral presentation at CVPR 2019. Source code and pre-print are upcoming.
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Feb 2019I will be visiting GE Healthcare at San Ramon on Feb 6th.
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Feb 2019I will be conducting a workshop on AWS Sagemaker Computer Vision at Amazon A9 in San Jose on Feb 4, 5.
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Nov 2018I helped launch AWS SageMaker Reinforcement Learning.
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Nov 2018I helped launch the Amazon SageMaker Semantic Segmentation algorithm.
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Aug 2018My blog on Bring your own tensorflow and mxnet models to AWS Sagemaker is out now.
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April 2018I wrote a chapter in the book Feature Engineering for Machine Learning and Data Analytics .
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Nov 2017I joined Amazon Web Services as a Research Scientist.
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October 2017I successfully defended my dissertation.
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October 2017I will be defending my PhD Dissertation on the 25th of October.
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August 2017I made a guide for migration from theano to tensorflow. It is available here.
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August 2017I will be giving a talk on Professional Networking at the ASU Fall 2017 Graduate Student Orientation.
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July 2017I am writing a book chapter on "Image features and feature learning", to be published in late 2017.
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July 2017I successfully defended by PhD Proposal and passed all my comprehensive and qualifier exams.
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July 2017My PhD candidacy proposal defense will be on 19th July.
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July 2017Updated version of the incremental learning paper is out on arXiv along with updated code.
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June 2017I will be joining Amazon Web Services as a Research Scientist in November.
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June 2017I will be visiting Amazon, Seattle on 14th June.
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May 2017I have a paper, co-authored with Parag Chandakkar on Multi-Instance retrieval accepted in SPIE Journal of Medical Imaging.
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May 2017I will be visiting NVIDIA, Santa Clara on 6th June.
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May 2017arXiv paper titled "A Strategy for an Uncompromising Incremental Learner" published along with source code.
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Apr 2017I will be visiting Qualcomm, San-Diego on 9th May.
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Apr 2017I will be visiting Siemens Healthcare, Princeton on 5th May.
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Mar 2017I will be attending the 50th year ceremony of ACM Turing Awards courtesy SIGMM scholarship.
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Mar 2017I will be vising Facebook Seattle and the Facebook ML seminar during the first week of April.
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Jan 2017I'm instructing the newly created course CSE591: Introduction to deep Learning for visual computing
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Oct 2016I was volunteering with ICIP 2016 Organizing Committee.
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Aug 2016I will be the teaching assistant for CSE 569: Statistical pattern recognition.
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May 2016I have an oral paper accepted to to ICIP 2016. I released its source code earlier. I also have a longer version of the paper at arXiv.
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April 2016arXiv paper titled "Diving deeper into mentee networks." published along with source code.
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Dec 2015Official release of the multi-purpose theano-based Toolbox for building various types of CNNs.
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Sep 2015I have a paper accepted in ICCV 2015.
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Aug 2015I accepted the role of teaching assistant for Digital Video Processing.
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Feb 2015I have a paper accepted in SPIE Journal of Electronic Imaging.
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Jan 2015I am now the teaching assistant for Statistical Machine Learning.
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Nov 2014I have a paper accepted in ISVC 2014.
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Aug 2014I accepted the position of teaching assistant for the graduate level course Fundamentals of Statistical Learning.
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April 2014I was with Intel® Corp. for the Spring and the Summer of 2014.
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Dec 2013
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Aug 2013I accepted the position of Teaching Assistant for the course Digital Video Processing
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Feb 2013I gave a talk at the SPIE conference on Medical Imaging at Florida.
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Dec 2012I had a paper co-authored at SPIE Journal of Electronic Imaging.
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Dec 2012I had a paper accepted at SPIE conference on Medical Imaging.
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Dec 2012I took the graduation walk for my MS in Electrical Engineering
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Oct 2012My article on Academic Integrity got published in the The Hindu.
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Aug 2012I accepted the teaching assistant position for the graduate level course Digital Video Processing for Fall 2012.
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Aug 2012I had a paper accepted at ACM conference on Bio-Informatics, computational biology and bio-medicine.
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Jul 2012I defended my Master's Thesis Successfully.
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Jun 2012I had a paper accepted at IEEE conference on Engineering in Medicine and Biology.
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Jun 2012I started working at the Visual Representation and Processing Group.
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Mar 2012My first paper got accepted at IEEE International Conference on Image Processing.
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Jan 2011I started working at the IPAlab at ASU.
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Aug 2010I started my Masters in Signal Processing and Communication Engineering at ASU.