Technical Program

D-3-2: Multimedia Analysis and Others

All times are in New Zealand Time (UTC +13)
Presentation Time: Thursday, December 10, 15:30 - 17:15 Check your Time Zone
 
D-3-2.1: DIVERSE AUDIO-TO-IMAGE GENERATION VIA SEMANTICS AND FEATURE CONSISTENCY
         Pei-Tse Yang; National Taiwan University
         Feng-Guang Su; National Taiwan University
         Yu-Chiang Frank Wang; National Taiwan University
 
D-3-2.2: MULTISCALE SALIENCY DETECTION FOR COLORED 3D POINT CLOUDS BASED ON RANDOM WALK
         Se-Won Jeong; Ulsan National Institute of Science and Technology
         Jae-Seong Yun; Ulsan National Institute of Science and Technology
         Jae-Young Sim; Ulsan National Institute of Science and Technology
 
D-3-2.3: THE VALIDITY OF A DUAL AZURE KINECT-BASED MOTION CAPTURE SYSTEM FOR GAIT ANALYSIS: A PRELIMINARY STUDY
         Yunru Ma; The University of Auckland
         Bo Sheng; The University of Auckland
         Rylea Hart; The University of Auckland
         Yanxin Zhang; The University of Auckland
 
D-3-2.4: PART-IN-WHOLE TYPE 3D PARTIAL SHAPE RETREIVAL BASED ON CONNECTED FACES WITH POINTNET FEATURES
         Masaki Aono; Toyohashi University of Technology
         Wataru Iwabuchi; Toyohashi University of Technology
 
D-3-2.5: FIXED-POINT ARITHMETIC OF L2-NORM APPROXIMATION FOR 2-TUPLE ARRAYS WITH ROTATED L1-NORM EVALUATION
         Yuya Kodama; Niigata University
         Shogo Muramatsu; Niigata University
         Hiroyoshi Yamada; Niigata University
 
D-3-2.6: RAPID AND ACCURATE LOCAL GAUSSIAN NOISE REMOVAL
         shogo seta; Keio University
         Yusuke Nakahara; Keio University
         Takuro Yamaguchi; Keio University
         Masaaki ikehara; Keio University
 
D-3-2.7: EFFICIENT HUMAN-IN-THE-LOOP OBJECT DETECTION USING BI-DIRECTIONAL DEEP SORT AND ANNOTATION-FREE SEGMENT IDENTIFICATION
         Koki Madono; Waseda University
         Teppei Nakano; Waseda University, Intelligent Framework Lab
         Tetsunori Kobayashi; Waseda University
         Tetsuji Ogawa; Waseda University