Viraj Prabhu

I am a first year M.S. Student majoring in Computer Science at Georgia Tech, advised by Prof. Devi Parikh. I also work closely with Prof. Dhruv Batra.

Prior to grad school, I spent a year as a research assistant in the Machine Learning and Perception lab at Virginia Tech, working on applying deep learning approaches to Visual Question Answering. Previously, I worked as a software developer at Adobe Systems India on Adobe Captivate Prime, a newly-launched SAAS-based Learning Management System for enterprise.

I received my Bachelor's in Computer Science from BITS Pilani in July 2015. Over the course of my undergraduate studies, I was fortunate to be introduced to computer vision via research internships at Adobe and Tonbo Imaging that I greatly enjoyed. For a detailed list, please take a look at my CV.

I am an open-source contributor to CloudCV and served as a mentor for Google Summer of Code twice in '16 and '17 for the Fabrik project. I also occasionally dabble in writing, playing the guitar, and distance running.


Highlights


  • Serving as reviewer for ICLR 2018 and CVPR 2018.

  • Jul 2017: I presented a demo on Visual Chatbots at CVPR 2017 in Honolulu, Hawaii.

  • Jun 2017: Our paper The Promise of Premise: Harnessing Question Premises in Visual Question Answering was accepted at EMNLP 2017. [arXiv]

  • Jun 2017: Our paper Evaluating Visual Conversational Agents via Cooperative Human-AI Games was accepted at HCOMP 2017. [arXiv]

  • May 2017: I represented CloudCV at the LDV Vision Summit 2017 in NYC.

  • Mar 2017: Our paper It Takes Two to Tango: Towards Theory of AI's Mind is out on ArXiv.

  • Mar 2017: Winner of VT Hacks 2017, a Major League Hacking event.


Publications


  • Evaluating Visual Conversational Agents via Cooperative Human-AI Games (HCOMP 2017)

    Prithvijit Chattopadhyay*, Deshraj Yadav*, Viraj Prabhu, Arjun Chandrasekaran, Abhishek Das, Stefan Lee, Dhruv Batra, Devi Parikh [PDF]

  • The Promise of Premise: Harnessing Question Premises in Visual Question Answering (EMNLP 2017)

    Aroma Mahendru*, Viraj Prabhu*, Akrit Mohapatra*, Dhruv Batra, Stefan Lee [PDF]

  • It Takes Two to Tango: Towards Theory of AI's Mind (arXiv)

    Arjun Chandrasekaran*, Deshraj Yadav*, Prithvijit Chattopadhyay*, Viraj Prabhu*, Devi Parikh [PDF]


Experience


Graduate Research Assistant, School of Interactive Computing, Fall 2017 - Present

Advisors: Prof. Dhruv Batra and Prof. Devi Parikh

Applying deep learning to tasks at the intersection of language and vision.

Research Scholar, Machine Learning and Perception Lab, Fall 2016 - Spring 2017

Advisors: Prof. Dhruv Batra and Prof. Devi Parikh

Worked on deep learning approaches to Visual Question Answering.
I also served as a teaching assistant for Intro to Machine Learning in Fall 2016, taught by Dr. Stefan Lee.

Mentor, CloudCV, Google Summer of Code '17, 16, Apr-Aug '17, '16

Mentored and presently maintain the Google Summer of Code project CloudCV-IDE, a web platform to build deep neural networks via a simple drag and drop interface. [GitHub]

Member of Technical Staff, Adobe Systems India, Jul '15-Aug '16

Worked on the Android and front-end webapps of Adobe Captivate Prime, a newly launched Learning Management System for enterprise.

R&D Intern, Tonbo Imaging, Jan-Jun '15

Computer vision startup developing sensor systems for battlefields and reconaissance.

Developed algorithm for automating camera calibration and implemented a boresighting algorithm for the company's video precision boresight tool.

Summer Intern, Adobe Presenter Video Express, May '14-Aug '14

Developed a graphcut-based segmentation algorithm for real-time background substitution in video that combined color, motion and shape cues and demonstrated robust segmentation across various backgrounds.[Demo][Blog][Report]

Summer Intern, May-Jul '13

Developed a web portal using the LAMP stack to automate customer data log creation for internal quality assessment purposes.

Birla Institute of Technology and Science (BITS), Pilani, Aug '11-Jul '15

Bachelor's Degree: Computer Science

Relevant Coursework: Pattern Recognition, Machine Learning, Information Retrieval, Parallel Computing