no code implementations • ECCV 2020 • Sangmin Lee, Jung Uk Kim, Hak Gu Kim, Seongyeop Kim, Yong Man Ro
In this paper, we propose a novel symptom-aware cybersickness assessment network (SACA Net) that quantifies physical symptom levels for assessing cybersickness of individual viewers.
no code implementations • 22 Mar 2024 • Taeheon Kim, Sangyun Chung, Damin Yeom, Youngjoon Yu, Hak Gu Kim, Yong Man Ro
Multispectral pedestrian detection is attractive for around-the-clock applications due to the complementary information between RGB and thermal modalities.
1 code implementation • 2 Mar 2024 • Taeheon Kim, Sebin Shin, Youngjoon Yu, Hak Gu Kim, Yong Man Ro
As a result, multispectral pedestrian detectors show poor generalization ability on examples beyond this statistical correlation, such as ROTX data.
no code implementations • 14 Apr 2021 • Hak Gu Kim, Minho Park, Sangmin Lee, Seongyeop Kim, Yong Man Ro
For a human expert, the depth adjustment procedure is a sequence of iterative decision making.
no code implementations • 14 Apr 2021 • Hak Gu Kim, Sangmin Lee, Seongyeop Kim, Heoun-taek Lim, Yong Man Ro
To make better understanding of VR sickness, it is required to predict and provide the level of major symptoms of VR sickness rather than overall degree of VR sickness.
1 code implementation • CVPR 2021 • Sangmin Lee, Hak Gu Kim, Dae Hwi Choi, Hyung-Il Kim, Yong Man Ro
Our work addresses long-term motion context issues for predicting future frames.
Ranked #1 on Video Prediction on KTH (Cond metric)
no code implementations • 2 Jul 2019 • Minho Park, Hak Gu Kim, Yong Man Ro
Generating realistic looking images with large variations (e. g., large spatial deformations and large pose change), however, is very challenging.
no code implementations • 23 May 2018 • Seong Tae Kim, Hakmin Lee, Hak Gu Kim, Yong Man Ro
In this paper, we investigate interpretability in CADx with the proposed interpretable CADx (ICADx) framework.
no code implementations • 23 Apr 2018 • Sangmin Lee, Hak Gu Kim, Yong Man Ro
In this paper, we propose a novel abnormal event detection method with spatio-temporal adversarial networks (STAN).
Ranked #17 on Anomaly Detection on ShanghaiTech
no code implementations • 11 Apr 2018 • Heoun-taek Lim, Hak Gu Kim, Yong Man Ro
The proposed human perception guider criticizes the predicted quality score of the predictor with the human perceptual score using adversarial learning.
no code implementations • 11 Apr 2018 • Hak Gu Kim, Wissam J. Baddar, Heoun-taek Lim, Hyunwook Jeong, Yong Man Ro
This paper proposes a new objective metric of exceptional motion in VR video contents for VR sickness assessment.
no code implementations • 11 Aug 2017 • Jung Uk Kim, Hak Gu Kim, Yong Man Ro
In this paper, we propose a novel medical image segmentation using iterative deep learning framework.
no code implementations • 10 Aug 2017 • Hak Gu Kim, Yeoreum Choi, Yong Man Ro
This paper presents a new approach of transfer learning-based medical image classification to mitigate insufficient labeled data problem in medical domain.