Concepedia

Seoung Wug Oh

SW

17

Publications

2K

Citations

16

H-Index

2016

Active since

Affiliations

Adobe Systems (United States)(Current)

Yonsei University

Korea Advanced Institute of Science and Technology

Kootenay Association for Science & Technology

University of Illinois Urbana-Champaign

Seoung Wug Oh is an author at Adobe Systems (United States) specializing in computer vision, machine vision, and engineering.

Top concepts

EngineeringImage AnalysisMachine VisionComputer VisionMachine LearningDeep LearningPattern RecognitionScene AnalysisComputer ScienceVideo Understanding

Publications per year

2016–2024

17

Publications

17

Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation

Younghyun Jo, Seoung Wug Oh, Jaeyeon Kang et al. · 2018 · 613 citations

Machine Vision, Image Analysis, Machine Learning +12

Fast Video Object Segmentation by Reference-Guided Mask Propagation

Seoung Wug Oh, Joon‐Young Lee, Kalyan Sunkavalli et al. · 2018 · 435 citations

Reference-guided Mask Propagation, Scene Analysis, Image Analysis +15

Tracking Anything with Decoupled Video Segmentation

Ho Kei Cheng, Seoung Wug Oh, Brian Price et al. · 2023 · 126 citations

Hierarchical Memory Matching Network for Video Object Segmentation

Hongje Seong, Seoung Wug Oh, Joon‐Young Lee et al. · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) · 2021 · 116 citations

Scene Analysis, Engineering, Machine Learning +16

Approaching the computational color constancy as a classification problem through deep learning

Seoung Wug Oh, Seon Joo Kim · Pattern Recognition · 2016 · 98 citations · Full text

Machine Vision, Machine Learning, Data Science +14

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