1 code implementation • CVPR 2023 • Hyo-Jun Lee, HanUl Kim, Su-Min Choi, Seong-Gyun Jeong, Yeong Jun Koh
A novel monocular 3D pose and shape reconstruction algorithm, based on bi-contextual attention and attention-guided modeling (BAAM), is proposed in this work.
Ranked #1 on Autonomous Vehicles on ApolloCar3D
1 code implementation • CVPR 2023 • Junho Shin, Hyo-Jun Lee, Hyunseop Kim, Jong-Hyeon Baek, Daehyun Kim, Yeong Jun Koh
For this purpose, we propose a reliable density estimation algorithm based on local connectivity between K nearest neighbors (KNN).
1 code implementation • ICCV 2023 • Jong-Hyeon Baek, Daehyun Kim, Su-Min Choi, Hyo-Jun Lee, HanUl Kim, Yeong Jun Koh
Images captured with irregular exposures inevitably present unsatisfactory visual effects, such as distorted hue and color tone.
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 +3
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)
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.
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.