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Srirangaraj Setlur

5 accepted papers

2025

AutoMisty: A Multi-Agent LLM Framework for Automated Code Generation in the Misty Social Robot

IROS 2025

The social robot’s open API allows users to customize open-domain interactions. However, it remains inaccessible to those without programming experience. We introduce AutoMisty, the first LLM-powered multi-agent framework that converts natural-language commands into executable Misty robot code by de

Cited by 8SourceScholar
2024

Audio Match Cutting: Finding and Creating Matching Audio Transitions in Movies and Videos

ICASSP 2024accepted

A "match cut" is a common video editing technique where a pair of shots that have a similar composition transition fluidly from one to another. Although match cuts are often visual, certain match cuts involve the fluid transition of audio, where sounds from different sources merge into one indisting…

Cited by 0SourceScholar
2024

Fine-Grained Engine Fault Sound Event Detection Using Multimodal Signals

ICASSP 2024accepted

Sound event detection (SED) is an active area of audio research that aims to detect the temporal occurrence of sounds. In this paper, we apply SED to engine fault detection by introducing a multimodal SED framework that detects fine-grained engine faults of automobile engines using audio and acceler…

Cited by 0SourceScholar
2024

ProxyFusion: Face Feature Aggregation Through Sparse Experts

NeurIPS 2024poster

Face feature fusion is indispensable for robust face recognition, particularly in scenarios involving long-range, low-resolution media (unconstrained environments) where not all frames or features are equally informative. Existing methods often rely on large intermediate feature maps or face metadat…

2020

Moving in the Right Direction: A Regularization for Deep Metric Learning

CVPR 2020poster

Deep metric learning leverages carefully designed sampling strategies and loss functions that aid in optimizing the generation of a discriminable embedding space. While effective sampling of pairs is critical for shaping the metric space during training, the relative interactions between pairs, and…

Cited by 45PDFScholar