Adobe Research » Joon-Young Lee

Joon-Young is a research scientist at Adobe. His research interests include video editing, video scene perception, and low-level vision.

For more information, please see his personal webpage.

AI & Machine Learning Computer Vision, Imaging & Video Content Intelligence

Publications

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 13, 2025 Conference on Computer Vision and Pattern Recognition (CVPR 2025)

Exploring Temporally-Aware Features for Point Tracking

Inès Hyeonsu Kim, Seokju Cho, Jiahui (Gabriel) Huang, Jung Yi, Joon-Young Lee, Seungryong Kim

June 13, 2025 Conference on Computer Vision and Pattern Recognition (CVPR 2025)

Seurat: From Moving Points to Depth

Seokju Cho, Jiahui (Gabriel) Huang, Seungryong Kim, Joon-Young Lee

Highlight

June 13, 2025 Conference on Computer Vision and Pattern Recognition (CVPR 2025)

EntitySAM: Segment Everything in Video

Mingqiao Ye, Seoung Wug Oh, Lei Ke, Joon-Young Lee

June 19, 2024 CVPR 2024

Concept Weaver: Enabling Multi-Concept Fusion in Text-to-Image Models

Gihyun Kwon, Simon Jenni, Dingzeyu Li, Joon-Young Lee, Jong Chul Ye, Fabian Caba Heilbron

June 17, 2024 CVPR 2024

MaGGIe: Masked Guided Gradual Human Instance Matting

Chuong Minh Huynh, Seoung Wug Oh, Abhinav Shrivastava, Joon-Young Lee

June 17, 2024 CVPR 2024

FlowTrack: Revisiting Optical Flow for Long-Range Dense Tracking

Seokju Cho, Jiahui (Gabriel) Huang, Seungryong Kim, Joon-Young Lee

June 17, 2024 CVPR 2024

Putting the Object Back into Video Object Segmentation

Ho Kei Cheng, Seoung Wug Oh, Brian Price, Joon-Young Lee, Alexander Schwing

October 23, 2022 ECCV 2022

One-Trimap Video Matting

Hongje Seong, Seoung Wug Oh, Brian Price, Euntai Kim, Joon-Young Lee

October 5, 2022 Pacific Graphics 2022

StylePortraitVideo: Editing Portrait Videos using StyleGAN

Kwanggyoon Seo, Seoung Wug Oh, Joon-Young Lee, Jingwan (Cynthia) Lu, Seonghyeon Kim, Junyong Noh

July 5, 2020 ACL 2020

Visual Dialog: Do we really need it?

Shubham Agarwal, Trung Bui, Joon-Young Lee, Ioannis Konstas, Verena Rieser

October 27, 2019 International Conference on Computer Vision (ICCV)

Onion-Peel Networks for Deep Video Completion

Seoung Wug Oh, Sungho Lee, Joon-Young Lee, Seon Joo Kim

October 27, 2019 International Conference on Computer Vision (ICCV)

Video Object Segmentation using Space-Time Memory Networks

Seoung Wug Oh, Joon-Young Lee, Ning Xu, Seon Joo Kim

Oral

June 16, 2019 Computer Vision and Pattern Recognition (CVPR)

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

Seoung Wug Oh, Joon-Young Lee, Ning Xu, Seon Joo Kim

September 8, 2018 European Conference on Computer Vision

Contemplating Visual Emotions: Understanding and Overcoming Dataset Bias

Rameswar Panda, Jianming Zhang, Haoxiang Li, Joon-Young Lee, Xin Lu, Amit Roy-Chowdhury

September 8, 2018 European Conference on Computer Vision

Learning to Blend Photos

Wei-Chih Hung, Jianming Zhang, Xiaohui Shen, Zhe Lin, Joon-Young Lee, Ming-Hsuan Yang

June 18, 2018 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Fast Video Object Segmentation by Reference-Guided Mask Propagation

Seoung Wug Oh, Joon-Young Lee, Kalyan Sunkavalli, Seon Joo Kim

Spotlight

October 22, 2017 International Conference on Computer Vision 2017

Reflectance Capture using Univariate Sampling of BRDFs

Zhuo Hui, Kalyan Sunkavalli, Joon-Young Lee, Sunil Hadap, Aswin C. Sankaranarayanan

October 15, 2017 Pacific Graphics 2017

Photometric Stabilization for Fast-forward Videos

Xuaner Zhang, Joon-Young Lee, Kalyan Sunkavalli, Zhaowen Wang

June 26, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Automatic Content-Aware Color and Tone Stylization

Joon-Young Lee, Kalyan Sunkavalli, Zhe Lin, Xiaohui Shen, In So Kweon

News

How Project Fast Mask went from a MAX Sneak to a powerful video editing tool for Adobe users

Project Fast Mask—what began as a research prototype is now powering tools like Roto Brush 3 in After Effects and Remove Video Background in Adobe Express. Discover how this breakthrough in AI-driven object selection is transforming the way we edit videos!

April 7, 2025

Coding Between the Lines: An Internship in Deep Learning

For intern and Women-in-Technology Scholarship winner Priya Pai, Adobe Research "wholeheartedly" encouraged her interdisciplinary work.

December 10, 2019