Jason Kuen

Research Scientist

San Jose

Jason is a computer vision and deep learning researcher in the Media Intelligence Lab (MIL) at Adobe Research. He completed his PhD in Computer Vision at Nanyang Technological University (NTU), Singapore in 2019 and obtained his bachelor’s degree in Artificial Intelligence from Multimedia University (MMU), Malaysia in 2014.

He is interested in very large-scale visual recognition problems as well as deep learning techniques for computer vision under limited labeled data and/or computational resource settings. He can be reached at his email: kuen[at]adobe.com.


MAGICK: A Large-scale Captioned Dataset from Matting Generated Images using Chroma Keying

Burgert, R., Price, B., Kuen, J., Li, Y., Ryoo, M. (Jun. 19, 2024)

CVPR 2024

SceneComposer: Any-Level Semantic Image Synthesis

Zeng, Y., Lin, Z., Zhang, J., Liu, Q., Collomosse, J., Kuen, J., Patel, V. (Jun. 20, 2023)

Computer Vision and Pattern Recognition (CVPR)

Multi-Scale Aligned Distillation for Low-Resolution Detection

Qi, L., Kuen, J., Gu, J., Lin, Z., Wang, Y., Chen, Y., Li, Y., Jia, J. (Jun. 21, 2021)

Conference on Computer Vision and Pattern Recognition (CVPR'21)