Workshops and Tutorials

Realistic Immersion with Virtual Humans

“Realistic Immersion with Virtual Humans” is a project funded jointly by NSFC (China) and NRF (Singapore). Based on the newly developed hardware devices, which provides the potential of recognizing and analyzing users’ gestures and actions interactively, this project aims to create high quality Virtual Worlds where distant users can interact with each other through their avatars, and also interact with autonomous virtual humans. It addresses the challenge of developing novel techniques to improve the communication between real and virtual worlds using concepts of perception-attention-action for virtual humans. This workshop will present and discuss the new achievements in this aspect.

Time: Monday May 21, 9:00 – 16:30
Place: Auditorium
Chair: Nadia Magnenat Thalmann
9:00-9:30See-through Anatomical Virtual Humans: past and future experiences
Nadia Magnenat Thalmann, NTU Singapore and MIRALab, University of Geneva
9:30-10:00Realistic Learning through Immersive Serious Gaming
Yiyu Cai, NTU Singapore
Coffee break
10:30-11:00From senses to sensors: what can we feel from the Virtual Worlds?
Daniel Thalmann: EPFL, Switzerland
11:00-11:30Multiparty VR Platform
Nisha Jain, NTU Singapore
11:30-12:00Perception guided realistic rendering for VR display
Sheng Li, Guoping Wang, Peking University
Lunch break
14:00-14:30Different characters of virtual human in VR detection
Yue liu, Dongdong Weng, Yongtian Wang, Jie Guo, Beijing Institute of Technology
14:30-15:00Physics-based motion controllers for virtual characters with deep neural network
Shihui Guo, Xiamen University
15:00 – 15:30
Coffee break
15:30 -16:00Photo-realistic facial expression synthesis at semantic level through deep neural network
Fengchun Qiao, Naiming Yao, Zirui Jiao, Hui Chen, Beijing Key Lab of Human-Computer Interaction, ISCAS
16:00 – 16:30Texture filtering with edge-aware measurement and its application to face recognition
Panpan Xu, Wencheng Wang, Fengjun Zhang, SKLCS, ISCAS

Natural Interaction Techniques and Example Applications

Natural interaction techniques are the keys for improving the communications of human-to-computer and human-to-human in virtual or mixed reality environments. Today’s interactive systems with natural interaction techniques are greatly helping people in almost every aspect, in which, VR and mobile systems help kids and adults to learn pronunciation, music and classroom knowledge, tests implemented with pen-based interface and motion capture systems improve doctors’ diagnosis for nervous system diseases, and user centered systems promote people’s performance and creativity in virtual environments. This workshop will discuss the new technical and theoretical achievements in natural interaction techniques, and present example applications in the fields of education, medicine and entertainment.

Time:Monday May 21, 9:00 – 16:30
Place: Room334
Chair: Xiangmin Fan
9:00-9:30Tangible user interface: A Link between Virtual and Real

Guangzheng Fei, Zanzhen Huang, Communication University of
9:30-10:00Natural Interaction Techniques in Medical Diagnosis for
Central Nervous System Disorders

Jin Huang. Institute of Software, CAS
Coffee break
10:30-11:00Toward Next Generation Mobile Learning
Xiangmin Fan. Institute of Software, CAS
11:00-11:30HCI for Children: Creating an Instrumental Ensemble Playing
Experience for Children with Limited Music Training

Fei Lyu. Beijing University of Posts and Telecommunications
11:30-12:00Recognizing objects via EMG Sensing Techniques
Junjun Fan, Institute of Software, CAS
Lunch break
14:00-14:30Exploring the Weak Association between Flow Experience and Performance in Virtual Environments
Yulong Bian. Shandong University
14:30-15:00Supporting Easy Physical-to-Virtual Creation of Mobile VR Maze Games: A New Genre
Wei Gai, Shandong University
15:00 – 15:30
Coffee break
15:30 -16:00Development and Evaluation of a Virtual Three Dimensional
Pronunciation Tutor

Lan Wang, Shenzhen Institutes of Advanced Technology, CAS
16:00 – 16:30Parallel Pencil Drawing Stylization via Structure-Aware Optimization
Zhihua Chen, Yuxi Jin, East China University of Science and Technology; Bin Sheng, Shanghai Jiao Tong University; Ping Li, Macau University of Science and Technology; Hanqiu Sun, The Chinese University of Hong Kong