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Seoung Wug Oh
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2020 – today
- 2024
- [c31]Ho Kei Cheng, Seoung Wug Oh, Brian L. Price, Joon-Young Lee, Alexander G. Schwing:
Putting the Object Back into Video Object Segmentation. CVPR 2024: 3151-3161 - [c30]Chuong Huynh, Seoung Wug Oh, Abhinav Shrivastava, Joon-Young Lee:
MaGGIe: Masked Guided Gradual Human Instance Matting. CVPR 2024: 3870-3879 - [c29]Yiran Xu, Zhixin Shu, Cameron Smith, Seoung Wug Oh, Jia-Bin Huang:
In-N-Out: Faithful 3D GAN Inversion with Volumetric Decomposition for Face Editing. CVPR 2024: 7225-7235 - [c28]Hanjung Kim
, Jaehyun Kang
VISAGE: Video Instance Segmentation with Appearance-Guided Enhancement. ECCV (7) 2024: 93-109 - [i29]Chuong Huynh, Seoung Wug Oh, Abhinav Shrivastava, Joon-Young Lee:
MaGGIe: Masked Guided Gradual Human Instance Matting. CoRR abs/2404.16035 (2024) - [i28]Mingi Kwon, Seoung Wug Oh, Yang Zhou, Difan Liu, Joon-Young Lee, Haoran Cai, Baqiao Liu, Feng Liu, Youngjung Uh:
HARIVO: Harnessing Text-to-Image Models for Video Generation. CoRR abs/2410.07763 (2024) - 2023
- [c27]Kwanyong Park, Sanghyun Woo, Seoung Wug Oh, In So Kweon, Joon-Young Lee:
Mask-Guided Matting in the Wild. CVPR 2023: 1992-2001 - [c26]Miran Heo, Sukjun Hwang, Jeongseok Hyun, Hanjung Kim, Seoung Wug Oh, Joon-Young Lee, Seon Joo Kim:
A Generalized Framework for Video Instance Segmentation. CVPR 2023: 14623-14632 - [c25]Ho Kei Cheng, Seoung Wug Oh, Brian L. Price, Alexander G. Schwing, Joon-Young Lee:
Tracking Anything with Decoupled Video Segmentation. ICCV 2023: 1316-1326 - [i27]Yiran Xu, Zhixin Shu, Cameron Smith, Jia-Bin Huang, Seoung Wug Oh:
In-N-Out: Face Video Inversion and Editing with Volumetric Decomposition. CoRR abs/2302.04871 (2023) - [i26]Ho Kei Cheng, Seoung Wug Oh, Brian L. Price, Alexander G. Schwing, Joon-Young Lee:
Tracking Anything with Decoupled Video Segmentation. CoRR abs/2309.03903 (2023) - [i25]Ho Kei Cheng, Seoung Wug Oh, Brian L. Price, Joon-Young Lee, Alexander G. Schwing:
Putting the Object Back into Video Object Segmentation. CoRR abs/2310.12982 (2023) - [i24]Hanjung Kim, Jaehyun Kang, Miran Heo, Sukjun Hwang, Seoung Wug Oh, Seon Joo Kim:
VISAGE: Video Instance Segmentation with Appearance-Guided Enhancement. CoRR abs/2312.04885 (2023) - 2022
- [j3]Kwanggyoon Seo
StylePortraitVideo: Editing Portrait Videos with Expression Optimization. Comput. Graph. Forum 41(7): 165-175 (2022) - [j2]Seoung Wug Oh
Space-Time Memory Networks for Video Object Segmentation With User Guidance. IEEE Trans. Pattern Anal. Mach. Intell. 44(1): 442-455 (2022) - [c24]Kwanyong Park, Sanghyun Woo, Seoung Wug Oh, In So Kweon, Joon-Young Lee:
Per-Clip Video Object Segmentation. CVPR 2022: 1342-1351 - [c23]Miran Heo, Sukjun Hwang, Seoung Wug Oh, Joon-Young Lee, Seon Joo Kim:
Integrating Pose and Mask Predictions for Multi-person in Videos. CVPR Workshops 2022: 2656-2665 - [c22]Su Ho Han, Sukjun Hwang, Seoung Wug Oh, Yeonchool Park, Hyunwoo Kim, Min-Jung Kim, Seon Joo Kim:
VISOLO: Grid-Based Space-Time Aggregation for Efficient Online Video Instance Segmentation. CVPR 2022: 2886-2895 - [c21]Sukjun Hwang, Miran Heo, Seoung Wug Oh, Seon Joo Kim:
Cannot See the Forest for the Trees: Aggregating Multiple Viewpoints to Better Classify Objects in Videos. CVPR 2022: 17031-17040 - [c20]Sanghyun Woo, Kwanyong Park, Seoung Wug Oh, In So Kweon, Joon-Young Lee:
Tracking by Associating Clips. ECCV (25) 2022: 129-145 - [c19]Sanghyun Woo, Kwanyong Park, Seoung Wug Oh, In So Kweon, Joon-Young Lee:
Bridging Images and Videos: A Simple Learning Framework for Large Vocabulary Video Object Detection. ECCV (25) 2022: 238-258 - [c18]Jaeyeon Kang
Error Compensation Framework for Flow-Guided Video Inpainting. ECCV (15) 2022: 375-390 - [c17]Hongje Seong, Seoung Wug Oh, Brian L. Price, Euntai Kim, Joon-Young Lee:
One-Trimap Video Matting. ECCV (29) 2022: 430-448 - [c16]Miran Heo, Sukjun Hwang, Seoung Wug Oh, Joon-Young Lee, Seon Joo Kim:
VITA: Video Instance Segmentation via Object Token Association. NeurIPS 2022 - [c15]Sukjun Hwang, Seoung Wug Oh, Seon Joo Kim:
Single-shot Path Integrated Panoptic Segmentation. WACV 2022: 1939-1948 - [i23]Sukjun Hwang, Miran Heo, Seoung Wug Oh, Seon Joo Kim:
Cannot See the Forest for the Trees: Aggregating Multiple Viewpoints to Better Classify Objects in Videos. CoRR abs/2206.02116 (2022) - [i22]Miran Heo, Sukjun Hwang, Seoung Wug Oh, Joon-Young Lee, Seon Joo Kim:
VITA: Video Instance Segmentation via Object Token Association. CoRR abs/2206.04403 (2022) - [i21]Jaeyeon Kang, Seoung Wug Oh, Seon Joo Kim:
Error Compensation Framework for Flow-Guided Video Inpainting. CoRR abs/2207.10391 (2022) - [i20]Hongje Seong, Seoung Wug Oh, Brian L. Price, Euntai Kim, Joon-Young Lee:
One-Trimap Video Matting. CoRR abs/2207.13353 (2022) - [i19]KwanYong Park, Sanghyun Woo, Seoung Wug Oh, In So Kweon, Joon-Young Lee:
Per-Clip Video Object Segmentation. CoRR abs/2208.01924 (2022) - [i18]Miran Heo, Sukjun Hwang, Jeongseok Hyun, Hanjung Kim, Seoung Wug Oh, Joon-Young Lee, Seon Joo Kim:
A Generalized Framework for Video Instance Segmentation. CoRR abs/2211.08834 (2022) - [i17]Sanghyun Woo, Kwanyong Park, Seoung Wug Oh, In So Kweon, Joon-Young Lee:
Bridging Images and Videos: A Simple Learning Framework for Large Vocabulary Video Object Detection. CoRR abs/2212.10147 (2022) - [i16]Sanghyun Woo, Kwanyong Park, Seoung Wug Oh, In So Kweon, Joon-Young Lee:
Tracking by Associating Clips. CoRR abs/2212.10149 (2022) - 2021
- [c14]Jaedong Hwang, Seoung Wug Oh, Joon-Young Lee, Bohyung Han:
Exemplar-Based Open-Set Panoptic Segmentation Network. CVPR 2021: 1175-1184 - [c13]Gunhee Nam, Miran Heo, Seoung Wug Oh, Joon-Young Lee, Seon Joo Kim:
Polygonal Point Set Tracking. CVPR 2021: 5569-5578 - [c12]Younghyun Jo, Seoung Wug Oh, Peter Vajda, Seon Joo Kim:
Tackling the Ill-Posedness of Super-Resolution Through Adaptive Target Generation. CVPR 2021: 16236-16245 - [c11]Hongje Seong, Seoung Wug Oh, Joon-Young Lee, Seongwon Lee
Hierarchical Memory Matching Network for Video Object Segmentation. ICCV 2021: 12869-12878 - [c10]Sukjun Hwang, Miran Heo, Seoung Wug Oh, Seon Joo Kim:
Video Instance Segmentation using Inter-Frame Communication Transformers. NeurIPS 2021: 13352-13363 - [i15]Jaedong Hwang, Seoung Wug Oh, Joon-Young Lee, Bohyung Han:
Exemplar-Based Open-Set Panoptic Segmentation Network. CoRR abs/2105.08336 (2021) - [i14]Gunhee Nam, Miran Heo, Seoung Wug Oh, Joon-Young Lee, Seon Joo Kim:
Polygonal Point Set Tracking. CoRR abs/2105.14584 (2021) - [i13]Sukjun Hwang, Miran Heo, Seoung Wug Oh, Seon Joo Kim:
Video Instance Segmentation using Inter-Frame Communication Transformers. CoRR abs/2106.03299 (2021) - [i12]Hongje Seong, Seoung Wug Oh, Joon-Young Lee, Seongwon Lee, Suhyeon Lee, Euntai Kim:
Hierarchical Memory Matching Network for Video Object Segmentation. CoRR abs/2109.11404 (2021) - [i11]Su Ho Han, Sukjun Hwang, Seoung Wug Oh, Yeonchool Park, Hyunwoo Kim, Min-Jung Kim, Seon Joo Kim:
VISOLO: Grid-Based Space-Time Aggregation for Efficient Online Video Instance Segmentation. CoRR abs/2112.04177 (2021) - 2020
- [c9]Subin Jeon
Cross-Identity Motion Transfer for Arbitrary Objects Through Pose-Attentive Video Reassembling. ECCV (24) 2020: 292-308 - [c8]Jaeyeon Kang
Deep Space-Time Video Upsampling Networks. ECCV (10) 2020: 701-717 - [i10]Younghyun Jo, Jaeyeon Kang, Seoung Wug Oh, Seonghyeon Nam, Peter Vajda, Seon Joo Kim:
Learning the Loss Functions in a Discriminative Space for Video Restoration. CoRR abs/2003.09124 (2020) - [i9]Gunhee Nam, Seoung Wug Oh, Joon-Young Lee, Seon Joo Kim:
DMV: Visual Object Tracking via Part-level Dense Memory and Voting-based Retrieval. CoRR abs/2003.09171 (2020) - [i8]Jaeyeon Kang, Younghyun Jo, Seoung Wug Oh, Peter Vajda, Seon Joo Kim:
Deep Space-Time Video Upsampling Networks. CoRR abs/2004.02432 (2020) - [i7]Subin Jeon, Seonghyeon Nam, Seoung Wug Oh, Seon Joo Kim:
Cross-Identity Motion Transfer for Arbitrary Objects through Pose-Attentive Video Reassembling. CoRR abs/2007.08786 (2020) - [i6]Sukjun Hwang, Seoung Wug Oh, Seon Joo Kim:
Single-shot Path Integrated Panoptic Segmentation. CoRR abs/2012.01632 (2020)
2010 – 2019
- 2019
- [c7]Seoung Wug Oh, Joon-Young Lee, Ning Xu, Seon Joo Kim:
Fast User-Guided Video Object Segmentation by Interaction-And-Propagation Networks. CVPR 2019: 5247-5256 - [c6]Seoung Wug Oh, Sungho Lee
Onion-Peel Networks for Deep Video Completion. ICCV 2019: 4402-4411 - [c5]Sungho Lee
Copy-and-Paste Networks for Deep Video Inpainting. ICCV 2019: 4412-4420 - [c4]Seoung Wug Oh, Joon-Young Lee, Ning Xu, Seon Joo Kim:
Video Object Segmentation Using Space-Time Memory Networks. ICCV 2019: 9225-9234 - [i5]Seoung Wug Oh, Joon-Young Lee, Ning Xu, Seon Joo Kim:
Video Object Segmentation using Space-Time Memory Networks. CoRR abs/1904.00607 (2019) - [i4]Seoung Wug Oh, Joon-Young Lee, Ning Xu, Seon Joo Kim:
Fast User-Guided Video Object Segmentation by Interaction-and-Propagation Networks. CoRR abs/1904.09791 (2019) - [i3]Seoung Wug Oh, Sungho Lee, Joon-Young Lee, Seon Joo Kim:
Onion-Peel Networks for Deep Video Completion. CoRR abs/1908.08718 (2019) - [i2]Sungho Lee, Seoung Wug Oh, DaeYeun Won, Seon Joo Kim:
Copy-and-Paste Networks for Deep Video Inpainting. CoRR abs/1908.11587 (2019) - 2018
- [c3]Younghyun Jo, Seoung Wug Oh, Jaeyeon Kang, Seon Joo Kim:
Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation. CVPR 2018: 3224-3232 - [c2]Seoung Wug Oh, Joon-Young Lee, Kalyan Sunkavalli, Seon Joo Kim:
Fast Video Object Segmentation by Reference-Guided Mask Propagation. CVPR 2018: 7376-7385 - 2017
- [j1]Seoung Wug Oh, Seon Joo Kim:
Approaching the computational color constancy as a classification problem through deep learning. Pattern Recognit. 61: 405-416 (2017) - 2016
- [c1]Seoung Wug Oh, Michael S. Brown, Marc Pollefeys
Do It Yourself Hyperspectral Imaging with Everyday Digital Cameras. CVPR 2016: 2461-2469 - [i1]Seoung Wug Oh, Seon Joo Kim:
Approaching the Computational Color Constancy as a Classification Problem through Deep Learning. CoRR abs/1608.07951 (2016)
Coauthor Index
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last updated on 2024-11-19 20:46 CET by the dblp team
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