Joon-Young Lee

Research Scientist

San Jose

Joon-Young received his M.S and Ph.D. degrees in electrical engineering from KAIST, Korea in 2009 and 2015, respectively. During his graduate study, he worked at the Robotics and Computer Vision Lab with Prof. In So Kweon as his advisor. Joon-Young was an intern at Adobe in San Jose in 2015 and 2014, and at Microsoft Research Asia in Beijing in 2010. He received the B.S degree in electrical and electronic engineering from Yonsei University, Korea in 2008.

His research interests include deep learning, video understanding, photometric image analysis, image enhancement, and computational photography.

For more information, please see hisĀ personal webpage.


Visual Dialog: Do we really need it?

Agarwal, S., Bui, T., Lee, J., Konstas, I., Rieser, V. (Jul. 5, 2020)

ACL 2020

Learning to Blend Photos

Hung, W., Zhang, J., Shen, X., Lin, Z., Lee, J., Yang, M. (Sep. 8, 2018)

European Conference on Computer Vision

Contemplating Visual Emotions: Understanding and Overcoming Dataset Bias

Panda, R., Zhang, J., Li, H., Lee, J., Lu, X., Roy-Chowdhury, A. (Sep. 8, 2018)

European Conference on Computer Vision

Fast Video Object Segmentation by Reference-Guided Mask Propagation

Oh, S., Lee, J., Sunkavalli, K., Kim, S. (Jun. 18, 2018)

IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2018 (Spotlight)

Reflectance Capture using Univariate Sampling of BRDFs

Hui, Z., Sunkavalli, K., Lee, J., Hadap, S., Sankaranarayanan, A. (Oct. 22, 2017)

International Conference on Computer Vision 2017

Photometric Stabilization for Fast-forward Videos

Zhang, X., Lee, J., Sunkavalli, K., Wang, Z. (Oct. 15, 2017)

Pacific Graphics 2017

Automatic Content-Aware Color and Tone Stylization

Lee, J., Sunkavalli, K., Lin, Z., Shen, X., Kweon, I. (Jun. 26, 2016)

IEEE Conference on Computer Vision and Pattern Recognition (CVPR)