About Me

I am a Computer Scientist at the Center for Vision Technologies at SRI International, where I primarily work with Ajay Divakaran, Yi Yao, and Giedrius Burachas on applying Deep Learning to Computer Vision and Natural Language Processing tasks. I finished graduate school (Master's) majoring in Computer Engineering from Virginia Tech (VT). While at VT, I had the honor of working in the Computer Vision Lab advised by Prof. Devi Parikh and in close collaboration with Prof. Dhruv Batra.

In my research, I am excited about how to make human-AI and AI-AI teams solve tasks effectively. Consequently, I am interested in and work on models that can interact with humans using natural language, models that can rationalize and explain their decisions, and models that leverage social media to do societal good.

Life Highlights:

  • 2019: Paper on improving VQA Consistency accepted at EMNLP 2019! Come check out our poster at EMNLP 2019! [arXiv paper]
  • 2019: Our work on evaluating machine explanation helpfulness in Visual Question Answering settings was featured by the online Science and Tech magazine, TechXplore (phys.org)! Come check out our demo at CVPR2019 and our poster at HCOMP 2019! [link]
  • 2019: I won a grant at the SRI CVT Shark Tank Competition that will support my project on using AI to reduce radicalization of opinions on social media. Please contact me if you are interested in a summer internship opportunity
  • 2017: I hosted the annual SRI CVT Lab Day Team Challenge with a human-AI collaborative image-retrieval game with AI's that can "rationalize/explain" their decisions to humans!
  • 2017: The startup I interned at (Blue River Technologies) got acquired by John Deere for $305 million! The weed detection technology I helped develop played a key part in this process!
  • 2017: I started working at SRI International - Center for Vision Technologies
  • 2017: I graduated from Virginia Tech and successfully defended my thesis!
  • 2016: Paper on VQA Relevance accepted at EMNLP 2016! Title: Question Relevance in VQA: Identifying Non-Visual And False-Premise Questions
  • 2016: Paper on CoNLL Shared Task on Discourse Parsing accepted at CoNLL 2016! We ranked within top 10 worldwide!
  • 2016: I won Employee of the Fortnight award as an intern at Blue River Technology! (now acquired by John Deere, September 2017)
  • 2016: I am interning at a Deep Learning Agri-tech startup called Blue River Technology over the Summer of 16. (Update: Acquired by John Deere as of September 2017)
  • 2016: I will be serving as the Vice President of Tau Beta Pi, Virginia Beta Chapter, from Fall 2016 for a year!
  • 2015: I served as a reviewer for CVPR 2016!
  • 2014: Our Face-recognition UAV for helping locating natural disaster victims was featured in National News : Deccan Chronicle, Indian Express etc
  • 2013: I won a silver medal at SRM University Research Day for my white-paper presentation on an Electro-Mechanical Exoskeleton.
  • 2012: I won an Academic Merit Scholarship from SRM University that waives a part of my tuition for excellent academic performance.

Hobbies

When I am not making multi-layer neural networks, you will usually find me playing the guitar (part of SRI's informal music band), or swing dancing! I love cooking/baking too - I definitely do plan on releasing my custom recipes of fusing cuisines from various cultures online someday. I am the proud inventor of a more interesting (read unhealthier) way to make Ramen Noodles, the recipe of which I will also put up soon. Check back later for more!

As a child, I was always interested in engineering simple gadgets. I opened an informal research society in my middle school to encourage middle schoolers to take an interest in science by engineering simple gadgets. Examples include a password machine using logic gates, automatic night lights, a computer keyboard piano and so on.

Press Coverage

Projects / Publications:

Arijit Ray, Karan Sikka, Ajay Divakaran, Stefan Lee, Giedrius Burachas, Sunny and Dark Outside?! Improving Answer Consistency in VQA through Entailed Question Generation , 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP 2019), also at CVPR-W 2019 VQA and Visual Dialog Workshop, [arXiv], [bibTex] [Data]


Arijit Ray, Yi Yao, Rakesh Kumar, Ajay Divakaran, Giedrius Burachas, Can You Explain That: Lucid Explanations Help Human-AI Collaboratve Image Retrieval , 2019 AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2019), [arXiv], [bibTex]


Arijit Ray, Giedrius T. Burachas, Karan Sikka, Anirban Roy, Avi Ziskind, Yi Yao, Ajay Divakaran, Make Up Your Mind: Towards Consistent Answer Predictions in VQA Models [pdf], [bibTex], Workshop on Shortcomings in Vision and Language , European Conference on Computer Vision, 2018 (ECCV-W 2018)


Arijit Ray, Gordon Christie, Mohit Bansal, Dhruv Batra, and Devi Parikh, "Question Relevance in VQA: Identifying Non-Visual And False-Premise Questions.", 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP 2016). [pdf] [code] [Video]


Prashant Chandrasekar, Xuan Zhang, Saurabh Chakravarty, Arijit Ray, John Krulick, and Alla Rozovskaya, "The Virginia Tech System at CoNLL-2016 Shared Task on Shallow Discourse Parsing", CoNLL Shared Task (2016).


The Art of Deep Connection - Towards Natural and Pragmatic Conversational Agent Interactions. [Master's Thesis], Virginia Tech E-Library, 2017


Make RBF Networks Fast Again- Exploiting Multi-Threaded Computing to Speed Up RBF Networks, Multiprocessor Programming Class Project, Fall 2016, [draft paper] [code]


Object Prediction using Image Context: Predict next object in an image reasoned on present image context in a sequential manner, Computer Vision Class Project Fall 2015


Online Demo for Predicting Plausibility of Common Sense Assertions: Enter a three-phrase tuple to assess the plausibility score based on a joint language-vision common-sense reasoning, Class Project, Fall 2015


Learning to Listen: Matching Cover songs with Original Productions: Match Original Songs to Cover Songs using an Ensemble of Supervised and Unsupervised Approaches, Machine Learning Class Project, Fall 2015.


Ray, Arijit, Kishan Prudhvi Guddanti, and N. Chellammal. "An Approach to Intelligent Traction Control Using Regression Networks and Anomaly Detection.", Junior (3rd Year) Semester Project, Fall 2013, published in Applied Artificial Intelligence 29.6 (2015): 597-616.

Contact Me

Have a question?

Best way to reach me would be to drop an email to ray93 at vt dot edu. Please don't spam me!