Methods for Automation

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Methods for Automation
Date/Time: Thursday, December 6th, 4:15pm - 4:40pm
Venue: G402 (4F, Glass Building)


Summary: We proposed a novel approach to automatic site selection of cultural venues. It consists of a learning stage for zone prediction and an optimisation stage for determining site locations.

Speaker(s):

Tian Feng, University of New South Wales, Australia
Tian (Frank) Feng is a Postdoctoral Fellow at the Expanded Perception & Interaction Centre (EPICentre), UNSW Art & Design. He received his BSc degree in Geographic Information Systems from Zhejiang University in 2012, and then his PhD degree in Information Systems Technology and Design from the Singapore University of Technology and Design in 2017. His research interests focus on computer graphics and vision, particularly in urban-related problems.

Tomasz Bednarz, University of New South Wales, CSIRO's Data61, Australia
A/Professor Tomasz Bednarz is a Director of Visualisation at the Expanded Perception & Interaction Centre (EPICentre), UNSW Art & Design. He is also a Team Leader in Visual Analytics, at the CSIRO Data61. He has been involved in a wide range of projects in immersive visualisation, human-computer interaction, computational imaging, visualisation, simulations, computer graphics, computational fluid dynamics, and demoscene. He is Chair of ACM SIGGRAPH Asia 2019, which will be held for the very first time in Australia (Brisbane).

Methods for Automation
Date/Time: Thursday, December 6th, 4:40pm - 5:05pm
Venue: G402 (4F, Glass Building)


Summary: We present a novel approach for the automated route generation of GPS artwork, which is described by leaving virtual traces on digital maps.

Speaker(s):

Andre Waschk, University of Duisburg-Essen; CoViDAG Center, University of Duisburg-Essen, Germany
Andre Waschk received his Bachelor's degree in Applied Computer Science at the University of Duisburg-Essen in 2013 followed by a Masters degree in the same program in 2016. Afterward, he began his research in the fields of computer graphics and visualization at the High-Performance Computing group at the University of Duisburg-Essen.

Jens Krüger, University of Duisburg-Essen, Scientific Computing & Imaging Institute University of Utah, Germany
Jens Krüger studied computer science at the RWTH Aachen where he received his diploma in 2002. In 2006 he finished his Ph.D. at the TU Munich and after Post-Doc positions in Munich and at the Scientific Computing and Imaging Institute he became a research assistant Professor at the University of Utah. In 2009 he joined the Cluster of Excellence Multimodal Computing and Interaction at Saarland University to head the Interactive Visualization and Data Analysis group. Since 2013, Jens Krüger is Chair of the High-Performance Computing group at the University of Duisburg-Essen.

Methods for Automation
Date/Time: Thursday, December 6th, 5:05pm - 5:30pm
Venue: G402 (4F, Glass Building)


Summary: We present a new algorithm that performs optimal keyframe reduction. Once applied, the compressed animation can be edited using the time-tested keyframe animation techniques.

Speaker(s):

Richard Roberts, Victoria University of Wellington, New Zealand
Richard Roberts works at the intersection of computer graphics, programming, and media design to develop artist-directed tools for animation and visual effects work. Roberts is a Research Fellow at Victoria University of Wellington's Virtual World's Lab, where he contributes research to the on-going production of a cinematic experience presented in VR. Beyond his interest in all things animation and motion capture, Roberts has a background in virtual machines for high-level programming languages.

J.P. Lewis, SEED, Electronic Arts; Victoria University of Wellington, United States of America
J.P. Lewis is a numerical programmer and researcher. Lewis is Principal Research Scientist at SEED, the new research lab of Electronic Arts, and is an adjunct Associate Professor in the machine learning group of Victoria University of Wellington. His interests include computer vision and machine learning applications in entertainment. He has received credits on a few movies including Avatar and The Matrix Sequels, and several of his algorithms have been adopted in commercial software including Maya and Matlab.

Ken Anjyo, OLM Digital, Inc.; Computational Media Innovation Centre (CMIC), Victoria University of Wellington, Japan
Ken Anjyo set up and headed the research and development division of OLM Digital, the digital production company in Tokyo famous for the Pokémon movies and other 3D animated feature films. He became the company’s CTO and is now its executive R&D adviser. He is a board member of VFX-JAPAN, the Japanese association of domestic digital production companies, and a member of the Visual Effects Society. Since this year, he's also been working as the director for Computational Media Innovation Center at Victoria University of Wellington, New Zealand.

Jaewoo Seo, Pinscreen, United States of America
Jaewoo Seo is a director of R&D at Pinscreen. His research interests include facial animation, motion capture, and GPU programming. Before joining Pinscreen, he was in the visual effects industry as a R&D engineer at ILM, Weta Digital, and OLM Digital. He received his PhD and MS degrees in Culture Technology from KAIST and BS degrees in Digital Media and in Computer and Information Engineering from Ajou University.

Yeongho Seol, Weta Digital, New Zealand
Yeongho Seol is interested in developing fundamental computer graphics/vision technologies and making them useful in the real-world VFX and animation production. He is experienced in a range of motion capture related technologies and works as senior motion capture developer in Weta digital.

Methods for Automation
Date/Time: Thursday, December 6th, 5:30pm - 5:55pm
Venue: G402 (4F, Glass Building)


Summary: We propose an algorithm which can robustly and automatically locate and track basketball players from multi-view videos. Our algorithm is insensitive to occlusions, shadows, lights and computation errors.

Speaker(s):

Weiliang Meng, Institute of Automation,CAS, China
Weiliang Meng is an associate professor in National Laboratory of Pattern Recognition (NLPR) at Institute of Automation, Chinese Academy of Sciences. He received the BE degree in Computer Science from Civil Aviation University of China in 2003, MSc degree in Computer Application from Tianjin University in 2006 and PhD degree in Computer Application from State Key Laboratory of Computer Science at Institute of Software, Chinese Academy of Sciences in 2010. His research interests include geometry modeling, image-based modeling and rendering, computer vision, and augmented reality.

Shibiao Xu, Institute of Automation,CAS, China
Shibiao Xu received the B.S. degree in Information Engineering from Beijing University of Posts and Telecommunications, Beijing, China, in 2009, and the Ph.D. degree in Computer Science from Institute of Automation, Chinese Academy of Sciences, Beijing, China, in 2014. He is currently an associate professor in the Institute of Automation, Chinese Academy of Sciences, Beijing, China. His current research interests include image based three-dimensional scene reconstruction and scene semantic understanding

Er Li, Institute of Automation,CAS, China
Er Li received the B.S. degree in automation from Wuhan University, Wuhan, China, in 2007, and the Ph.D. degree in computer science from the Institute of Automation, Chinese Academy of Sciences, Beijing, China, 2012. He was a Postdoctoral Researcher with the Institute of Software, Chinese Academy of Sciences and Arizona State University, Phoenix, AZ, USA. He is currently working as an assistant professor with the Institute of Automation, Chinese Academy of Sciences. His research include image analysis, computer vision, and computer graphics.

Xiangyong Zeng, Institute Of Computing Technology Chinese Academy Of Sciences, China
Xiangyong Zeng is the co-founder of Beijing Interjoy Technology Limited (Interjoy), an Intelligence Technology Corp. He received a PhD degree in pattern recognition from the Institute of Automation, Chinese Academy of Sciences. He also has been a postdoctoral fellow at the Institute of computing technology, Chinese Academy of Sciences. His research interests include computer vision, intelligent HCI and augmented reality.

Xiaopeng Zhang, Institute of Automation,CAS, China
Xiaopeng Zhang is a professor in the National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences. He received a PhD degree in Computer Application from the Institute of Software, Chinese Academy of Sciences. His research interests include 3D-shape analysis, complex modeling and rendering, and augmented reality.

 

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