Topical Session on Information Display, Artificial Intelligence, and Smart Society
date time session room Wed., Nov. 27 15:20-16:35 AIS1/INP2 Smart Society and Information Display Room 206 17:00-18:25 AIS2 AI and Information Display Thu., Nov. 28 14:30-17:00 AISp1/DESp2 Image Processing Main Hall 14:30-17:00 AISp2/VHFp6 Deep Learning for Image Quality Fri., Nov. 29 13:20-14:35 PRJ6/AIS3 AI Room 108 15:00-16:10 DES6/AIS4 Image Processing Room 107 AIS1/INP2 : Smart Society and Information Display
Wed., Nov. 27 15:20-16:35 Room 206
Chair: Katashi Nagao (Nagoya University)
Co-Chair: Toshiaki Fujii (Nagoya University)
AIS1/INP2-1 Invited Adaptive Spatial User Interfaces That Activate Us
*Kazuyuki Fujita1 (1. Tohoku University (Japan))AIS1/INP2-2 Invited Automated Vibrotactile Generation Based on Texture Images or Material Attributes Using GAN
*Yuki Ban1, Yusuke Ujitoko2,3 (1. The University of Tokyo (Japan), 2. Hitachi, Ltd. (Japan), 3. The University of Electro-Communication (Japan))AIS1/INP2-3 Invited Vibrotactile Signal Generation with GAN
*Shotaro Agatsuma1, Shin Takahashi1, Satoshi Saga2 (1. University of Tsukuba (Japan), 2. Kumamoto University (Japan))
AIS2 : AI and Information Display
Wed., Nov. 27 17:00-18:25 Room 206
Chair: Yuki Ban (The University of Tokyo)
Co-Chair: Kazuyuki Fujita (Tohoku University)
AIS2-1 Invited AI-Powered Education: Smart Learning Environment with Large Interactive Displays
*Katashi Nagao1 (1. Nagoya University (Japan))AIS2-2 Invited Light-Field Image Processing Using Deep Neural Network
*Toshiaki Fujii1 (1. Nagoya University (Japan))AIS2-3 Deep Convolution Neural Networks for Painting-like 3D Rendering
*Zhi Yang1, Pei-Li Sun1, Tzung-Han Lin1 (1. National Taiwan University of Science and Technology (Taiwan))AIS2-4L Outdoor Wild Bird Detection Based on YOLO algorithm
*Bo-Cheng Zhu1, Tzung-Han Lin1, Yao-Chuan Tsai2, Kuang-Wen Hsieh2, Fuh-Min Fan2, Perng-Kwei Lei2 (1. National Taiwan University of Science and Technology (Taiwan), 2. National Chung-Hsing University (Taiwan))
Fri., Nov. 29 13:20-14:35 Room 108
Chair: Makio Kurashige (DNP)
Co-Chair: Satoshi Ouchi (Hitachi)
PRJ6/AIS3-1 Invited Visual Illusions Expressed by Deep Neural Networks
*Taisuke Kobayashi1, Eiji Watanabe1,2 (1. Japan/Aichi/National Institute for Basic Biology (Japan), 2. Japan/Aichi/The Graduate University for Advanced Studies (SOKENDAI) (Japan))PRJ6/AIS3-2 Vertical View Human Action Recognition from Range Images
*Akinobu Watanabe1, Keiichi Mitani1 (1. Hitachi, Ltd. (Japan))PRJ6/AIS3-3 High Efficiency Information Presentation Method for Head Mounted Display on Work Support
*Takuya Nakamichi1, Chiyo Ohno1, Shoji Yamamoto1, Koji Yamasaki1 (1. Hitachi, Ltd. (Japan))PRJ6/AIS3-4L High-Speed and High-Brightness Color Single-Chip DLP Projector Using High-Power LED-Based Light Sources
*Yoshihiro Watanabe1,2, Masatoshi Ishikawa2 (1. Tokyo Institute of Technology (Japan), 2. University of Tokyo (Japan))
Fri., Nov. 29 15:00-16:10 Room 107
Chair: Yuji Oyamada (Tottori University)
Co-Chair: Mutsumi Kimura (Ryukoku univ.)
DES6/AIS4-1 Invited Deep Learning-Based Image Processing Algorithms in 8K Era
*SukJu Kang1 (1. Sogang University (Korea))DES6/AIS4-2 Invited Omnidirectional/360-degree Image and Video Standardizations Status
*Junichi Hara1 (1. RICOH Company, LTD. (Japan))DES6/AIS4-3 An Advanced TV Program Logo Processing Algorithm for Preventing OLED TV Image Sticking
*Lin Cheng1, Yang Rao1, Yufeng Jin1, Yin-Hung Chen1, Ming-Jong Jou1, Bin Zhao1, Xin Zhang1 (1. Shenzhen China Star Optoelectronics Technology Company (China))
Poster AISp1/DESp2 : Image Processing
Thu., Nov. 28 14:30-17:00 Main Hall
AISp1/DESp2-1 Hardware Acceleration for Multi-Scale Object Detection Based on Dense Pyramid Feature
*Congrui Wu1, Tianmin Rao1, Ran Duan1, Xiao Zhang1 (1. BOE Technology Group Co., Ltd (China))AISp1/DESp2-2L Saliency Map Prediction using a Method of Object Detection
*Tsuyoshi Kushima1, Masaki Hisano1 (1. The University of Electoro-Communications (Japan))
Poster AISp2/VHFp6 : Deep Learning for Image Quality
Thu., Nov. 28 14:30-17:00 Main Hall
AISp2/VHFp6-1 Automatic Selection of Preferable Tone-Mapping Method Based on Deep Learning
*Hirofumi Sasaki1, Keita Hirai1, Takahiko Horiuchi1 (1. Chiba University (Japan))