John Hoffman — accepted AI-conference papers

2026

SAM Audio: Segment Anything in Audio

Bowen Shi, Andros Tjandra, John Hoffman, Helin Wang, YI-CHIAO WU, Luya Gao +8

ICML 2026poster

General audio source separation is a key capability for multimodal AI systems that can perceive and reason about sound. Despite substantial progress in recent years, existing separation models are either domain-specific, designed for fixed categories such as speech or music, or limited in controllab…

Cited by 0 Source ↗Scholar ↗

2019

Rendezvous Planning for Multiple AUVs With Mobile Charging Stations in Dynamic Currents

Bingxi Li, Brian R. Page, John Hoffman, Barzin Moridian, Nina Mahmoudian

RA-L 2019

Operation of autonomous underwater vehicles (AUVs) in large spatiotemporal missions is currently challenged by onboard energy resources requiring manned support. With current methods, AUVs are programmed to return to a static charging station based on a threshold in their energy level. Although this

Cited by 34 Source ↗Scholar ↗