Seoung Wug Oh

Research Scientist

San Jose

I am a Research Scientist at Adobe Research. Before that, I did my Ph.D. at Yonsei University under the supervision of Prof. Seon Joo Kim. My research focus es on image/video enhancement and editing related technologies including video object segmentation, inpainting, and super-resolution. But I am also open to other interesting vision problems.

I am looking for self-motivated interns and research collaborators with strong computer vision backgrounds. Feel free to contact me at seoh@adobe.com anytime.

For more information, please visit my personal webpage.

Publications

Putting the Object Back into Video Object Segmentation

Cheng, H., Oh, S., Price, B., Lee, J., Schwing, A. (Jun. 17, 2024)

CVPR 2024

MaGGIe: Masked Guided Gradual Human Instance Matting

Huynh, C., Oh, S., Shrivastava, A., Lee, J. (Jun. 17, 2024)

CVPR 2024

One-Trimap Video Matting

Seong, H., Oh, S., Price, B., Kim, E., Lee, J. (Oct. 23, 2022)

ECCV 2022

StylePortraitVideo: Editing Portrait Videos using StyleGAN

Seo, K., Oh, S., Lee, J., Lu, J., Kim, S., Noh, J. (Oct. 5, 2022)

Pacific Graphics 2022

Video Object Segmentation using Space-Time Memory Networks

Oh, S., Lee, J., Xu, N., Kim, S. (Oct. 27, 2019)

Oral

International Conference on Computer Vision (ICCV)

Onion-Peel Networks for Deep Video Completion

Oh, S., Lee, S., Lee, J., Kim, S. (Oct. 27, 2019)

International Conference on Computer Vision (ICCV)

Fast User-Guided Video Object Segmentation by Interaction-and-Propagation Networks

Oh, S., Lee, J., Xu, N., Kim, S. (Jun. 16, 2019)

Computer Vision and Pattern Recognition (CVPR)

Fast Video Object Segmentation by Reference-Guided Mask Propagation

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

Spotlight

IEEE Conference on Computer Vision and Pattern Recognition (CVPR)