activity
20172023
most citedMakeItTalk: Speaker-Aware Talking-Head Animation

321 citations · 512 across the 12 of their papers we have counts for

collaborators

12 papers

cs.HC2023★ 14 cited

Next Steps for Human-Centered Generative AI: A Technical Perspective

Xiang 'Anthony' Chen, Jeff Burke, Ruofei Du +8

Through iterative, cross-disciplinary discussions, we define and propose next-steps for Human-centered Generative AI (HGAI). We contribute a comprehensive research agenda that lays…

cs.HC2022★ 24 cited

CrossA11y: Identifying Video Accessibility Issues via Cross-modal Grounding

Xingyu "Bruce" Liu, Ruolin Wang, Dingzeyu Li +2

Authors make their videos visually accessible by adding audio descriptions (AD), and auditorily accessible by adding closed captions (CC). However, creating AD and CC is challengin…

cs.CV2022★ 2 cited

Audio-driven Neural Gesture Reenactment with Video Motion Graphs

Yang Zhou, Jimei Yang, Dingzeyu Li +3

Human speech is often accompanied by body gestures including arm and hand gestures. We present a method that reenacts a high-quality video with gestures matching a target speech au…

cs.CV2022

Audio-Visual Fusion Layers for Event Type Aware Video Recognition

Arda Senocak, Junsik Kim, Tae-Hyun Oh +3

Human brain is continuously inundated with the multisensory information and their complex interactions coming from the outside world at any given moment. Such information is automa…

cs.CR2021★ 5 cited

Can one hear the shape of a neural network?: Snooping the GPU via Magnetic Side Channel

Henrique Teles Maia, Chang Xiao, Dingzeyu Li +2

Neural network applications have become popular in both enterprise and personal settings. Network solutions are tuned meticulously for each task, and designs that can robustly reso…

cs.CV2020★ 9 cited

Unified Multisensory Perception: Weakly-Supervised Audio-Visual Video Parsing

Yapeng Tian, Dingzeyu Li, Chenliang Xu

In this paper, we introduce a new problem, named audio-visual video parsing, which aims to parse a video into temporal event segments and label them as either audible, visible, or…