Athula Balachandran — accepted AI-conference papers

2026

SAGA: Source Attribution of Generative AI Videos

Rohit Kundu, Vishal Mohanty, Hao Xiong, Shan Jia, Athula Balachandran, Amit K. Roy-Chowdhury

CVPR 2026

The proliferation of generative AI has led to hyper-realistic synthetic videos, escalating misuse risks and outstripping binary real/fake detectors. We introduce \texttt SAGA (\underline S ource \underline A ttribution of \underline G enerative \underline A I videos), the first comprehensive framewo

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2025

Towards a Universal Synthetic Video Detector: From Face or Background Manipulations to Fully AI-Generated Content

Rohit Kundu, Hao Xiong, Vishal Mohanty, Athula Balachandran, Amit K. Roy-Chowdhury

CVPR 2025poster

Existing DeepFake detection techniques primarily focus on facial manipulations, such as face-swapping or lip-syncing. However, advancements in text-to-video (T2V) and image-to-video (I2V) generative models now allow fully AI-generated synthetic content and seamless background alterations, challengin…

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