Heoun-taek Lim

Publication Activity (10 Years)

Years Active: 2016-2021
Publications (10 Years): 10

Top Topics

Periodic Motion

Convolutional Neural Network

Virtual Reality

Top Venues

IEEE Trans. Circuits Syst. Video Technol.

Image Processing: Machine Vision Applications

Publications

Hak Gu Kim, Sangmin Lee, Seongyeop Kim, Heoun-taek Lim, Yong Man Ro
Towards a Better Understanding of VR Sickness: Physical Symptom Prediction for VR Contents. CoRR (2021)
Hak Gu Kim, Sangmin Lee, Seongyeop Kim, Heoun-taek Lim, Yong Man Ro
Towards a Better Understanding of VR Sickness: Physical Symptom Prediction for VR Contents. AAAI (2021)
Hak Gu Kim, Heoun-taek Lim, Yong Man Ro
Deep Virtual Reality Image Quality Assessment With Human Perception Guider for Omnidirectional Image. IEEE Trans. Circuits Syst. Video Technol. 30 (4) (2020)
Hak Gu Kim, Heoun-taek Lim, Sangmin Lee, Yong Man Ro
VRSA Net: VR Sickness Assessment Considering Exceptional Motion for 360° VR Video. IEEE Trans. Image Process. 28 (4) (2019)
Hak Gu Kim, Hyunwook Jeong, Heoun-taek Lim, Yong Man Ro
Binocular Fusion Net: Deep Learning Visual Comfort Assessment for Stereoscopic 3D. IEEE Trans. Circuits Syst. Video Technol. 29 (4) (2019)
Heoun-taek Lim, Hak Gu Kim, Yang Man Ra
VR IQA NET: Deep Virtual Reality Image Quality Assessment Using Adversarial Learning. ICASSP (2018)
Hak Gu Kim, Wissam J. Baddar, Heoun-taek Lim, Hyunwook Jeong, Yong Man Ro
Measurement of exceptional motion in VR video contents for VR sickness assessment using deep convolutional autoencoder. CoRR (2018)
Heoun-taek Lim, Hak Gu Kim, Yong Man Ro
VR IQA NET: Deep Virtual Reality Image Quality Assessment using Adversarial Learning. CoRR (2018)
Hak Gu Kim, Wissam J. Baddar, Heoun-taek Lim, Hyunwook Jeong, Yong Man Ro
Measurement of exceptional motion in VR video contents for VR sickness assessment using deep convolutional autoencoder. VRST (2017)
Heoun-taek Lim, Hak Gu Kim, Yong Man Ro
Learning based hole filling method using deep convolutional neural network for view synthesis. Image Processing: Machine Vision Applications (2016)