logo dataset news publication about
news
VRSA Net (by Hak Gu Kim) is accepted in IEEE Trans.. 2018-11-05
VR Image Quality Assessment result(by Heountaek Li.. 2018-11-05
Deep learning VR quality assessment result (by Hak.. 2018-11-05
Dr Yong Ju Jung’s paper has been accepted to IEEE.. 2018-11-05
Dr. Yong Ju Jung’s paper has been accepted to the.. 2018-11-05
 
dataset news publication about
publication
VRSA Net: VR Sickness Assessment considering Exceptional Motion for 360-degree VR Video
VR IQA NET: Deep Virtual Reality Image Quality Assessment using Adversarial Learning
Measurement of exceptional motion in VR video contents for VR sickness assessment using deep convolutional autoencoder
Predicting visual discomfort of stereoscopic images using human attention model
Visual Comfort Assessment Metric based on Salient Object Motion Information in Stereoscopic Video
dataset

Image and Video System Lab, School of Electrical Engineering, KAIST

This web page provides the datasets of our ICASSP 2018 paper [1], so that researchers can repeat our
experiments or test our facial point detector on other datasets. The datasets is for research purposes
only. If you use our datasets, please cite the paper [1].

   
foot_logo  

ⓒ2018 IMAGE & Video SYSTEMS LAB DB.
KOREA ADVANCED IN STITUTE OF SCIENCE AND TECHNOLOGY(KAIST) Tel. +82-42-350-5494, 8094 335 Gwahak-ro(373-1 Guseong-dong). Yuseong-gu, Daejeon 305-701,Republic of Korea