Zheng Ning

schoolUniversity of Notre Damebar_chart#2618 Global Rank

Total Papers

HCI Rank

#2618

Research Areas

Years Active

Recent Publications

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

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) individuals. In cooking, BLV people often rely on non-visual cues---such as touch, taste, and smell---to navigate their environment, makin…

DIS '242nd AuthorVideo Production & Editing +1

PodReels: Human-AI Co-Creation of Video Podcast Teasers

Video podcast teasers are short videos that can be shared on social media platforms to capture interest in full episodes of a video podcast. These teasers enable long-form podcasters to reach new audiences and gain more followers. However, creating a compelling teaser from an hour-long episode can be challenging. Sele…

CC '241st AuthorGenerative AI (Text, Image, Music, Video) +2

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

Spatial audio offers more immersive video consumption experiences to viewers; however, creating and editing spatial audio often expensive and requires specialized equipment and skills, posing a high barrier for amateur video creators. We present MIMOSA, a human-AI co-creation tool that enables amateur users to computa…

CHI '241st AuthorVisual Impairment Technologies (Screen Readers, Tactile Graphics, Braille)

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

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 a high mental load, neglect the diverse needs and preferences of BLV users, and lack immersion. To tackle these challenges, we introduce S…

UIST '232nd AuthorConversational Chatbots +2

PEANUT: A Human-AI Collaborative Tool for Annotating Audio-Visual Data

Audio-visual learning seeks to enhance the computer’s multi-modal perception leveraging the correlation between the auditory and visual modalities. Despite their many useful downstream tasks, such as video retrieval, AR/VR, and accessibility, the performance and adoption of existing audio-visual models have been imped…

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