collaborators

5 papers

cs.AI2026

Agentic AI for Personalized Physiotherapy: A Multi-Agent Framework for Generative Video Training and Real-Time Pose Correction

Abhishek Dharmaratnakar, Srivaths Ranganathan, Anushree Sinha +1

At-home physiotherapy compliance remains critically low due to a lack of personalized supervision and dynamic feedback. Existing digital health solutions rely on static, pre-record…

cs.AI2026

Beyond Fluency: Toward Reliable Trajectories in Agentic IR

Anushree Sinha, Srivaths Ranganathan, Debanshu Das +1

Information Retrieval is shifting from passive document ranking toward autonomous agentic workflows that operate in multi-step Reason-Act-Observe loops. In such long-horizon trajec…

cs.CV2026

Generative AI for Video Trailer Synthesis: From Extractive Heuristics to Autoregressive Creativity

Abhishek Dharmaratnakar, Srivaths Ranganathan, Debanshu Das +1

The domain of automatic video trailer generation is currently undergoing a profound paradigm shift, transitioning from heuristic-based extraction methods to deep generative synthes…

cs.LG2026

VALOR: Value-Aware Revenue Uplift Modeling with Treatment-Gated Representation for B2B Sales

Vamshi Guduguntla, Kavin Soni, Debanshu Das

B2B sales organizations must identify "persuadable" accounts within zero-inflated revenue distributions to optimize expensive human resource allocation. Standard uplift frameworks…

cs.IR2026

Multi-Agent Video Recommenders: Evolution, Patterns, and Open Challenges

Srivaths Ranganathan, Abhishek Dharmaratnakar, Anushree Sinha +1

Video recommender systems are among the most popular and impactful applications of AI, shaping content consumption and influencing culture for billions of users. Traditional single…