Nagasiri Poluri
Computer science
Hometown: Tempe, Arizona, United States
Graduation date: Fall 2025
FURI | Fall 2025
Advancing Video Question Answering (VideoQA) Through Attribution, Reasoning, and Counterfactual Inference Tasks
This research investigates how to equip video question answering (VideoQA) systems, AI models that answer questions about videos, with deeper reasoning for real-world scenarios. Current systems handle surface-level prompts but struggle to attribute causes, count objects, reason over events, infer prior states, or explore counterfactuals. The project will curate and annotate urban video data, fine-tune transformer-based models on these five tasks, and design evaluation and explainability methods. The outcome aims at safer, more interpretable systems for traffic monitoring and related domains.
Mentor: Bharatesh Chakravarthi
It’s hip to be square.
Students presenting projects at the Fulton Forge Student Research Expo are encouraged to download this personal QR code and include it within your poster. This allows expo attendees to explore more about your project and about you in the future.
Right click the image to save it to your computer.