As AI expands the scope of human creativity, I wish to solve the gaps in machine intelligence to enable the next generation of human-machine collaborative tasks.
I am a second-year Computer Vision Ph.D. Student at Boston University (BU), advised by Profs. Kate Saenko and Bryan Plummer. I collaborate closely with Prof. Ranjay Krishna from the University of Washington. I recieved my M.S from Virginia Tech, advised by Prof. Devi Parikh.
Recently, I am interested in adapting multimodal language models to reason compositionally about the visual and physical world. I am driven by community and using AI to enable societal good. Hence, I am a member of the student leadership committee for the AI for Impact Venture Studio at MIT. I am also a part of the BU + UC Berkeley Team in the DARPA Semantic Forensics program for detecting misinformation and radicalizing content.
I am always interested to collaborate with motivated students. If you are interested to work on multimodal models to help human creativity, say hi!
Arijit Ray, Filip Radenovic, Abhimanyu Dubey, Bryan Plummer, Ranjay Krishna, Kate Saenko, Cola: How to adapt vision-language models to Compose Objects Localized with Attributes?, [arxiv] [project page, data]
Reuben Tan, Arijit Ray, Andrea Burns, Bryan A. Plummer, Justin Salamon, Oriol Nieto, Bryan Russell, Kate Saenko, Language-Guided Audio-Visual Source Separation via Trimodal Consistency, CVPR 2023, [arxiv] [code]
Kamran Alipour, Arijit Ray, Xiao Lin, Michael Cogswell, Jurgen Schulze, Yi Yao, Giedrius Burachas Improving Users' Mental Model with Attention-directed Counterfactual Edits, 2021 Applied AI Letters (Wiley) [pdf]
Arijit Ray, Michael Cogswell, Xiao Lin, Kamran Alipour, Ajay Divakaran, Yi Yao, Giedrius Burachas, Knowing What VQA Does Not: Pointing to Error-Inducing Regions to Improve Explanation Helpfulness, 2021 Applied AI Letters (Wiley), [pdf] [arXiv] [Project Page]
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 (AAAI-HCOMP 2019), [arXiv], [bibTex] [press coverage]
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
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.
2014: Dr. Erik Brynjolfsson, the Director of the MIT Center for Digital Business, tweeted:
Best way to reach me would be to drop an email to array at bu dot edu. Please don't spam me!