ICIVC 2018 - 2018 3rd IEEE International Conference on Image, Vision and Computing
2018年第三届IEEE图像、视觉与计算国际会议 | June 27-29, 2018 at CQUPT, Chongqing, China


ICIVC 2018 was successfully held during June 27-29, 2018 in Chongqing, China. It's organized by Chongqing University of Posts and Telecommunications and IEEE, co-supported by Chongqing Institute of Electronics, Sichuan Province Computer Federation and Digital Communications and Networks.

ICIVC 2018 Conference Proceedings | ISBN: 978-1-5386-4990-9 | ICIVC 2018 Conference proceedings has been archived into IEEE Xplore Database.
Ei Compendex Index | Scopus Index (会后5个月内被检索) 

重庆邮电大学-官宣新闻: http://cxy.cqupt.edu.cn/info/1106/2115.htm

2018年6月27日-29日,由 IEEE(电气和电子工程师协会) 与重庆邮电大学主办,重庆邮电大学通信与信息工程学院、Digital Communications and Networks 期刊、重庆市电子学会协作承办的第三届IEEE图像、视觉与计算国际会议(ICIVC 2018)在逸夫楼学术报告厅召开。副校长陈前斌代表学校致欢迎辞,全球图像、视觉与计算领域的科研院校与研究机构的领导、专家和各界代表共计200余人参加了大会。

陈前斌代表学校对与会嘉宾表示欢迎,对相关部门给予的支持表示感谢!陈前斌指出,图像、视觉与计算国际会议是国际性高水平学术会议,本年度接受的论文来自世界各地,将通过12个不同的技术分会进行研讨交流,方向涉及图像分割、医学图像处理、自适应信号处理、移动通信信号处理等众多领域,这将有力推动图像处理和计算技术的发展,并将为从事信号处理、计算系统研究的国内外专家学者和工程师们提供一个高水平的交流平台。

大会上,来自美国内华达州立大学的Shahram Latifi教授(IEEE fellow)、新加坡南洋理工大学的周立培教授(IEEE fellow)、中国台湾地区逢甲大学张真诚教授(IEEE fellow)以及我校特聘教授美国华盛顿大学黄正能教授、澳大利亚悉尼科技大学杨易教授分别就图形图像与信息、计算领域前沿科研与研究成果做了主题交流报告。

在本次会议前期,征集到全世界341篇参会论文,经过认真严格筛选,共有191篇论文入选大会交流,大会吸引了来自美国、英国、加拿大、韩国、新加坡等近20个国家和地区的学者与会交流,本次会议为期3天,共组织了4个大会特邀报告、12个大会技术分会,1场公开报告展示,与会学者在会议期间集体参观了我校通信与信息工程学院图像处理相关实验室及国家级教学示范中心。

Download all Pictures of
Session 7-12

 


Oral Presentation Award Winners

Attention Prediction Using Partial Differential on Color Spaces
Presenter: Zhiyong He ,Soochow University, China

A Noise-resistant Stereo Matching Algorithm Integrating Regional Information
Presenter: Huahui Feng, University of Chinese Academy of Sciences, China

Vision-based Simultaneous Localization and Mapping on Lunar Rover
Presenter: Pei An, University of Chinese Academy of Sciences, China

Blood vessels segmentation by using CDNet
Presenter: Chu-Xiong Zheng, Guangzhou University, China

Synthesizing Plausible Video by Introducing Favorable Object Pose based on Trajectory Matching
Presenter: Mohamed Mahdy, Huazhong University of Science and Technology (HUST), China

Unsupervised Super-Resolution Framework for Medical Ultrasound Images Using Dilated Convolutional Neural Networks
Presenter: Jingfeng Lu, Department of Automatic Measurement and Control Harbin Institute of Technology, China

An Investigation of Skeleton-Based Optical Flow-Guided Features for 3D Action Recognition Using a Multi-Stream CNN Model
Presenter: Jun Ren, Massey University, New Zealand

Broad-Leaf Weed Detection in Pasture
Presenter: Wenhao Zhang, Centre for Machine Vision, Bristol Robotics Laboratory, University of the West of England, UK

A New Hybrid Approach for Saliency Detection in Infrared Images
Presenter: Xin Wang, Hohai University, China

Single Foggy Image Restoration under Hardy Space
Presenter: Shiping Wang, AirForce Engineering Univ., China

An Information Hiding Scheme Based on Chinese Remainder Theorem
Presenter: Xuehu Yan, National University of Defense Technology, China

 

ICIVC 2018 Keynote Speakers

Prof. Lap-Pui Chau, Nanyang Technological University, Singapore (IEEE Fellow)

Speech Title: Light Field Imaging: Representation, Compression and Applications
Lap-Pui Chau received the Bachelor degree from Oxford Brookes University,  and the Ph.D. degree from The Hong Kong Polytechnic University, in 1992 and 1997, respectively.   He is an associate professor in School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. His research interests include fast visual signal processing algorithms, light-field imaging, video analytics for intelligent transportation system, and human motion analysis.
He was a General Chairs for IEEE International Conference on Digital Signal Processing (DSP 2015) and International Conference on Information, Communications and Signal Processing (ICICS 2015). He was a Program Chairs for International Conference on Multimedia and Expo (ICME 2016), Visual Communications and Image Processing (VCIP 2013) and International Symposium on Intelligent Signal Processing and Communications Systems (ISPACS 2010).
He was the chair of Technical Committee on Circuits & Systems for Communications (TC-CASC) of IEEE Circuits and Systems Society from 2010 to 2012. He served as an associate editor for IEEE Transactions on Multimedia, IEEE Signal Processing Letters, IEEE Transactions on Circuits and Systems for Video Technology, and is currently serving as an associate editor for IEEE Transactions on Circuits and Systems II, IEEE Transactions on Broadcasting, and The Visual Computer (Springer Journal). Besides, he was an IEEE Distinguished Lecturer for 2009-2016, and a steering committee member of IEEE Transactions for Mobile Computing from 2011-2013. He is an IEEE Fellow.

Prof. Shahram Latifi, UNIVERSITY OF NEVADA, USA (IEEE Fellow)

Speech Title: Facts and Fallacies of Machine Learning
Shahram Latifi received his M.S. and Ph.D. degrees in Electrical and Computer Engineering from Louisiana State University in 1986 and 1989, respectively.  He is currently a Professor of Electrical and Computer Engineering and the Co-Director of Center for Information Technology and Algorithms at the University of Nevada, Las Vegas.  Dr. Latifi has taught courses and performed research in various areas including Image Processing and Document Analysis, Data Compression, Remote Sensing, Biometrics, Security,  Computer Networks and Machine Learning.  He has authored/co-authored over 250 technical articles in reputable  journals and conferences.   He is the recipient of several research awards including the most recent one- Silver State Scholar research award in 2014. His research has been funded by NSF, NASA,  DOE,  DoD/DTRA, Boeing, Lockheed and Cray Inc.  Dr. Latifi was an IEEE Distinguished Speaker ( 1997-2000), an Associate Editor of the IEEE Transactions on Computers (1999-2006) , Co-founder and General Chair of the IEEE Int'l Conf. on Information Technology (ITCC 2000-2004) and founder and General Chair of Int’l Conf.  on Information Technology-New Generations (ITNG 2005-2018).  He has delivered keynotes in international IEEE conferences around the world.  He has also served on the editorial board of several international journals.   He is an IEEE Fellow (2002) and  a Registered Professional Engineer in the State of Nevada.

Prof. Chin-Chen Chang, Feng Chia University,Taiwan (IEEE Fellow)

Speech Title: A Self-Reference Watermarking Scheme based on Wet Paper Coding
Professor Chin-Chen Chang obtained his Ph.D. degree in computer engineering from National Chiao Tung University. His first degree is Bachelor of Science in Applied Mathematics and master degree is Master of Science in computer and decision sciences. Both were awarded in National Tsing Hua University. Dr. Chang served in National Chung Cheng University from 1989 to 2005. His current title is Chair Professor in Department of Information Engineering and Computer Science, Feng Chia University, from Feb. 2005. Prior to joining Feng Chia University, Professor Chang was an associate professor in Chiao Tung University, professor in National Chung Hsing University, chair professor in National Chung Cheng University. He had also been Visiting Researcher and Visiting Scientist to Tokyo University and Kyoto University, Japan. During his service in Chung Cheng, Professor Chang served as Chairman of the Institute of Computer Science and Information Engineering, Dean of College of Engineering, Provost and then Acting President of Chung Cheng University and Director of Advisory Office in Ministry of Education, Taiwan. Professor Chang's specialties include, but not limited to, data engineering, database systems, computer cryptography and information security. A researcher of acclaimed and distinguished services and contributions to his country and advancing human knowledge in the field of information science, Professor Chang has won many research awards and honorary positions by and in prestigious organizations both nationally and internationally. He is currently a Fellow of IEEE and a Fellow of IEE, UK. And since his early years of career development, he consecutively won Institute of Information & Computing Machinery Medal of Honor, Outstanding Youth Award of Taiwan, Outstanding Talent in Information Sciences of Taiwan, AceR Dragon Award of the Ten Most Outstanding Talents, Outstanding Scholar Award of Taiwan, Outstanding Engineering Professor Award of Taiwan, Chung-Shan Academic Publication Awards, Distinguished Research Awards of National Science Council of Taiwan, Outstanding Scholarly Contribution Award of the International Institute for Advanced Studies in Systems Research and Cybernetics, Top Fifteen Scholars in Systems and Software Engineering of the Journal of Systems and Software, Top Cited Paper Award of Pattern Recognition Letters, and so on. On numerous occasions, he was invited to serve as Visiting Professor, Chair Professor, Honorary Professor, Honorary Director, Honorary Chairman, Distinguished Alumnus, Distinguished Researcher, Research Fellow by universities and research institutes. He also published over serval hundred papers in Information Sciences. In the meantime, he participates actively in international academic organizations and performs advisory work to government agencies and academic organizations.

Prof. Yi Yang, University of Technology Sydney, Australia

Speech Title: Weakly Supervised Detection in Images and Videos
Yi Yang is currently a Professor with University of Technology Sydney, Australia, before which was a Post-Doctoral Research with the School of Computer Science, Carnegie Mellon University, Pittsburgh, USA. He received the Ph.D. degree in computerscience from Zhejiang University, Hangzhou, China, in 2010.His current research interest includes machine learning and its applications to multimedia content analysis and computer vision. He has published more than 100 papers in top venues. His work of multi-camera person tracking and identification was elected as one of the 13 incredible Tech innovations by the Huffington post. The system his team has developed achieved the best performance in a few international competitions, including the TRECVID LOC, the Thumos Action Recognition challenge, the MSR-Bing Image retrieval grand challenge. He is a winner of the Google Faculty Research Award, the ARC DECRA award, and the ACS gold disital disruptor.