1 code implementation • CVPR 2021 • Yuk Heo, Yeong Jun Koh, Chang-Su Kim
We propose a novel guided interactive segmentation (GIS) algorithm for video objects to improve the segmentation accuracy and reduce the interaction time.
Ranked #2 on
Interactive Video Object Segmentation
on DAVIS 2017
(using extra training data)
Interactive Segmentation
Interactive Video Object Segmentation
+2
1 code implementation • IEEE International Conference on Computer Vision 2021 • HanUl Kim, Su-Min Choi, Chang-Su Kim, Yeong Jun Koh
Recently, the encoder-decoder and intensity transformation approaches lead to impressive progress in image enhancement.
4 code implementations • ECCV 2020 • Yuk Heo, Yeong Jun Koh, Chang-Su Kim
The global transfer module conveys the segmentation information in an annotated frame to a target frame, while the local transfer module propagates the segmentation information in a temporally adjacent frame to the target frame.
Ranked #3 on
Interactive Video Object Segmentation
on DAVIS 2017
(using extra training data)
Interactive Video Object Segmentation
Semantic Segmentation
+1
no code implementations • ECCV 2018 • Yeong Jun Koh, Young-Yoon Lee, Chang-Su Kim
A novel algorithm to segment out objects in a video sequence is proposed in this work.
no code implementations • ICCV 2017 • Yeong Jun Koh, Chang-Su Kim
A novel online algorithm to segment multiple objects in a video sequence is proposed in this work.
no code implementations • CVPR 2017 • Yeong Jun Koh, Chang-Su Kim
A novel algorithm to segment a primary object in a video sequence is proposed in this work.
Semantic Segmentation
Unsupervised Video Object Segmentation
no code implementations • CVPR 2016 • Yeong Jun Koh, Won-Dong Jang, Chang-Su Kim
By superposing the foreground and background features, we build the object recurrence model, the background model, and the primary object model.