activity
20242026
most citedMIMOSA: Human-AI Co-Creation of Computational Spatial Audio Effects on Videos

9 citations · 12 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Talking to Me or Someone Else? Rethinking Talk-to-Me Detection in Egocentric Videos

Feiyu Du, Xi He, Jia Li +2

Online understanding of who is talking to the camera wearer is a key capability for egocentric social interaction. However, existing talk-to-me (TTM) studies are commonly formulate…

cs.HC2025★ 2 cited

VRSight: An AI-Driven Scene Description System to Improve Virtual Reality Accessibility for Blind People

Daniel Killough, Justin Feng, Zheng Xue "ZX" Ching +4

Virtual Reality (VR) is inaccessible to blind people. While research has investigated many techniques to enhance VR accessibility, they require additional developer effort to integ…

cs.HC2025★ 1 cited

AROMA: Mixed-Initiative AI Assistance for Non-Visual Cooking by Grounding Multi-modal Information Between Reality and Videos

Zheng Ning, Leyang Li, Daniel Killough +6

Videos offer rich audiovisual information that can support people in performing activities of daily living (ADLs), but they remain largely inaccessible to blind or low-vision (BLV)…

cs.HC2024★ 9 cited

MIMOSA: Human-AI Co-Creation of Computational Spatial Audio Effects on Videos

Zheng Ning, Zheng Zhang, Jerrick Ban +4

Spatial audio offers more immersive video consumption experiences to viewers; however, creating and editing spatial audio often expensive and requires specialized equipment and ski…

cs.HC2024

SPICA: Interactive Video Content Exploration through Augmented Audio Descriptions for Blind or Low-Vision Viewers

Zheng Ning, Brianna L. Wimer, Kaiwen Jiang +5

Blind or Low-Vision (BLV) users often rely on audio descriptions (AD) to access video content. However, conventional static ADs can leave out detailed information in videos, impose…