Jui-Hsien Wang

Jui-Hsien Wang joined Adobe Research in 2020. He received his PhD from Stanford University, where he was advised by Doug James. Jui’s research interest is in computer graphics, vision, and audio.

For more details and links to papers, please see his personal website.

AI & Machine Learning Audio Graphics (2D & 3D)

Publications

June 3, 2026 Conference on Computer Vision and Pattern Recognition (CVPR 2026)

ID-Sim: An Identity-Focused Similarity Metric

Julia Chae, Nicholas Kolkin, Jui-Hsien Wang, Richard Zhang, Sara Beery, Cusuh Ham

June 3, 2026 Conference on Computer Vision and Pattern Recognition (CVPR 2026)

Generative Video Motion Editing with 3D Point Tracks

Yao-Chih Lee, Zhoutong Zhang, Jiahui (Gabriel) Huang, Jui-Hsien Wang, Joon-Young Lee, Jia-Bin Huang, Eli Shechtman, Zhengqi Li

June 14, 2025 Conference on Computer Vision and Pattern Recognition (CVPR 2025)

Generative Video Propagation

Shaoteng Liu, Tianyu (Steve) Wang, Jui-Hsien Wang, Qing Liu, Zhifei Zhang, Joon-Young Lee, Yijun Li, Bei Yu, Zhe Lin, Soo Ye Kim, Jiaya Jia

June 11, 2021 ICASSP

Personalized HRTF Modeling Using DNN-augmented BEM

Mengfan Zhang, Jui-Hsien Wang, Doug L. James, Wang

News

Adobe Researchers present a powerful, unified approach to generative video editing at CVPR 2025

Adobe researchers shared a groundbreaking paper at CVPR 2025, introducing an experimental generative video propagation framework that applies edits in the first frame of a video to all the following frames in a reliable and consistent manner, all while preserving areas the user hasn’t edited.

June 12, 2025