Technical Program

D-3-3: Image and video processing based on deep learning

All times are in New Zealand Time (UTC +13)
Presentation Time: Thursday, December 10, 17:30 - 19:30 Check your Time Zone
 
D-3-3.1: DEEP LEARNING BASED DEPTH ESTIMATION AND RECONSTRUCTION OF LIGHT FIELD IMAGES
         Jae-Seong Yun; UNIST
         Jae-Young Sim; UNIST
 
D-3-3.2: PROGRESSIVE DEEP NETWORK WITH CHANNEL BACK-PROJECTION FOR HYPERSPECTRAL RECOVERY FROM RGB
         Sang-Ho Lee; Korea University
         Min-Je Park; Korea University
         Jong-Ok Kim; Korea University
 
D-3-3.3: IMAGE INPAINTING USING WEIGHTED MASK CONVOLUTION
         Jiwoo Kang; Yonsei University
         Seongmin Lee; Yonsei University
         Suwoong Heo; Yonsei University
         Sanghoon Lee; Yonsei University
 
D-3-3.4: MOIRÉ ARTIFACTS REMOVAL IN SCREEN-SHOT IMAGES VIA MULTIPLE DOMAIN LEARNING
         An Gia Vien; Dongguk University
         Hyunkook Park; Dongguk University
         Chul Lee; Dongguk University
 
D-3-3.5: DATA REDUCTION USING CLUSTER SAMPLING
         Ye seung Park; Yonsei University, Republic of Korea
         Mingyu Jang; Yonsei University, Republic of Korea
         Jungwoo Huh; Yonsei University, Republic of Korea
         Kyoungoh Lee; Yonsei University, Republic of Korea
         Sanghoon Lee; Yonsei University, Republic of Korea
 
D-3-3.6: TEMPORAL ATTENTION FEATURE ENCODING FOR VIDEO CAPTIONING
         Nayoung Kim; Ewha W. University
         Seong Jong Ha; NCSOFT
         Jewon Kang; Ewha W. University
 
D-3-3.7: SUPER-RESOLUTION OF MULTI-VIEW ERP 360-DEGREE IMAGES WITH TWO-STAGE DISPARITY REFINEMENT
         Hee-Jae Kim; Ewha W. University
         Jewon Kang; Ewha W. University
         Byung-Uk Lee; Ewha W. University
 
D-3-3.8: HUMAN POSE ESTIMATION USING SKELETAL HEATMAPS
         Jinyoung Jun; Korea University
         Jae-Han Lee; Korea University
         Chang-Su Kim; Korea University