works on

From the 1 of 10 linked papers with an AI index.

collaborators

10 papers

cs.AI2026

A Survey on Foundations and Frontiers of Multimodal Agentic Frameworks: Techniques and Applications

Neel Mokaria, Rishie Raj, Dheeraj Baiju +13

Advances in large language models (LLMs) have fueled a wave of research into agency: the ability to reason, plan, and act. This effort has produced agentic frameworks that orchestr…

cs.LG2026

EM-GANSim: Real-time and Accurate EM Simulation Using Conditional GANs for 3D Indoor Scenes

Ruichen Wang, Dinesh Manocha

The paper introduces EM-GANSim, a conditional GAN that predicts electromagnetic power distribution in 3D indoor environments in real time, achieving accuracy comparable to ray‑trac…

cs.AI2025

AMUSE: Audio-Visual Benchmark and Alignment Framework for Agentic Multi-Speaker Understanding

Sanjoy Chowdhury, Karren D. Yang, Xudong Liu +6

Recent multimodal large language models (MLLMs) such as GPT-4o and Qwen3-Omni show strong perception but struggle in multi-speaker, dialogue-centric settings that demand agentic re…

cs.CE2025

Accelerated, Memory-Efficient Far-Field Scattering Computation with Monte Carlo SBR

Samuel Audia, Dinesh Manocha, Matthias Zwicker

We introduce a Monte Carlo integration-based Shooting and Bouncing Ray (SBR) algorithm for electromagnetic scattering, specifically targeting complex dielectric materials. Unlike t…

cs.CV2025

EgoAdapt: Adaptive Multisensory Distillation and Policy Learning for Efficient Egocentric Perception

Sanjoy Chowdhury, Subrata Biswas, Sayan Nag +7

Modern perception models, particularly those designed for multisensory egocentric tasks, have achieved remarkable performance but often come with substantial computational costs. T…

cs.CV2025

MAGNET: A Multi-agent Framework for Finding Audio-Visual Needles by Reasoning over Multi-Video Haystacks

Sanjoy Chowdhury, Mohamed Elmoghany, Yohan Abeysinghe +5

Large multimodal models (LMMs) have shown remarkable progress in audio-visual understanding, yet they struggle with real-world scenarios that require complex reasoning across exten…