I am a Ph.D student at Indian Institute of Science (IISc), advised by Dr. R. Venkatesh Babu. I am a member of Video Analytics Lab in Department of Computational and Data Sciences (CDS). Before joining IISc, I worked as a Research Engineer at Duos Technologies, Jacksonville, USA from May 2012 to December 2013. Prior to that, I was a Research Engineer at Honda Research Institute USA, Mountain View, USA from January 2008 to April 2012. I got my MS degree in Computer Science from University of Washington, Seattle, USA in 2008. I got an integrated MS/B.Tech degree (Honors) in Computer Science from International Institute of Information Technology, Hyderabad (IIIT-H) in 2004. More information is in my CV.

My work is in the area of Computer Vision. My main research focus is visual object category understanding via hand-drawn sketches. My recent and on-going research projects have examined novel sketch-based representations and their visualization, methods for visualizing object features from large-category data, eye-gaze based analysis of sketches and Recurrent Neural Network architectures for on-line sketch recognition. My work has also resulted in the first fully automatic approach for fine-grained parsing of object sketches.

In addition to sketch-related research, my work has resulted in a novel semantic-part based benchmarking procedure for state-of-the-art object recognition systems and novel architectures for depiction-invariant, generalized object recognition.

For details of related projects and other past research, click here

July 2, 2017 Paper accepted at ACMMM-2017.
June 16, 2017 Gave an invited talk : "R for Image Processing and Pattern Recognition" at Raghu Engineering College, Visakhapatnam.
Feb 27, 2017 Paper accepted at CVPR-2017.
Feb 26, 2017 Gave an invited talk on Recurrent Neural Networks at Bangalore Computer Vision Meetup. View the talk here: Part-1, Part-2.
Feb 13, 2017 Paper accepted for publication in the IEEE Transactions on Image Processing journal.
Feb 4, 2017 Book on Deep Learning for Medical Image Analysis, containing a co-authored invited chapter, has been published by Elsevier.
Feb 2-7, 2017Co-organized the Deep Learning Tutorial for Qualcomm Research India, Bangalore.
Dec 27, 2016 Invited Poster presetation at Mysore Park Workshop on Vision, Language and AI (VLAI) 2016.
Dec 14, 2016 Talk at Qualcomm Research India, Bangalore.
Oct 10, 2016 Paper accepted at ICVGIP-2016
Aug 15, 2016 Paper accepted at ACCV-2016
June 25, 2016 3 papers accepted at ACMMM-2016
June 20, 2016 Awarded the prestigious Qualcomm Innovation Fellowship 2016. My one-person team proposal was one of the 4 proposals selected from 31 proposals across India.
Feb 16, 2016 Selected for TCS Ph.D. fellowship -- one of the 3 recipients in IISc for the 2016 cycle.
Jan 07, 2016 Invited talk as part of the seminar for Video Analytics and Deep Learning at MS Ramaiah Institute of Technology, Bangalore.
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Dec 10, 2015 Survey paper on Convolutional Neural Networks accepted for publication at Frontiers in Robotics and AI.
Oct 07, 2015 Expresso, a co-designed open-source software for GUI-based design and analysis system for Convolutional Neural Networks, accepted for the ICCV 2015 demo track.
Aug 12, 2015 Invited talk at IIIT-Bangalore.
Jul 10, 2015 Paper accepted for oral presentation at ACMMM-2015
Aug 1, 2014 Joined Indian Institute of Science.

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