Liu Ren, Ph.D.
Liu is currently a principal research scientist and engineering manager at Robert Bosch Research. He is responsible for shaping strategic directions and developing key technologies in the field of visual computing including:
- 3D graphics and embedded/mobile graphics systems
- Real-time 3D rendering and geo-visualization
- 3D gesture recognition and interaction
- augmented reality
- character animation
- pattern recognition and biometrics
- vision graphics
for industrial applications in Robert Bosch Corporation, a multi-national corporation with over $60 Billion revenue and more than 280,000 employees worldwide.
In particular, he has led the research, development, and production efforts for Robert Bosch's 3D artMap (Chinese: 三维艺术导航地图）, the world's first stylized 3D navigation map powered by non-photorealistic (artistic) rendering technologies.
Liu has over 10 years experience on visual computing. He received his Ph.D. in Computer Science from Computer Science Department, Carnegie Mellon University, under the supervision of Prof.Jessica Hodgins in the area of computer graphics focusing on data-driven character animation, vision-based performance animation, and real-time 3D rendering and visualization.
3D artMap (watercolor & pen-and-ink style, Berlin, day/night mode)
3D artMap is the world's first stylized 3D navigation map powered by non-photorealistic (artistic ) rendering technologies. 3D artMap is the key feature in Robert Bosch's 1st iPhone product (successfully launched in 2010.12) with very positive customer feedback. The product is currently available for 19 countries in Western Europe including Germany, France, the United Kingdom, Austria, Switzerland, the Republic of Ireland, Belgium, the Netherlands, Italy, Sweden, Norway, Spain, and others.
Automotive IT news [European Market]
Official Product Webpage
Sina [Chinese Market]
Sohu [Chinese Market]
Mao Ye, Xianwang Wang, Ruigang Yang, Liu Ren, and Marc Pollefeys, "Accurate 3D Body Pose Estimation From a Single Depth Image", Proceedings of International Conference on Computer Vision (ICCV 2011), November, 2011 (New!).
Summary: A high accurate human pose estimation algorithm for entertainment applications that employ depth sensor as input
Xinyu Huang, Liu Ren, and Ruigang Yang, "Image Deblurring for Less Intrusive Iris Capture", IEEE Computer Society
Coference on Computer Vision and Pattern Recognition (CVPR 2009), June, 2009
Summary: A long range and non-intrusive iris capture and recognition system featuring a novel image deblurring algorithm to handle the limitation of low cost hardware (patent granted)
Liu Ren, Alton Patrick, Alexei Efros, Jessica Hodgins, and James Rehg, "A
Data-Driven Approach to Quantifying
Natural Human Motion", ACM Transactions on Graphics (SIGGRAPH 2005),
Summary: The first approach to automatic human animation quality evaluation
Liu Ren, Gregory Sharknarovich, Jessica Hodgins, Hanspeter Pfister and Paul Viola, "Learning Silhouette Features for
Control of Human Motion", ACM Transactions on Graphics (SIGGRAPH
Summary: A novel and low cost vision-based interface for "do-as-I-do" applications in entertainment industry
Wei Chen, Liu Ren, Matthias Zwicker and Hanspeter Pfister,
Adpative EWA Volume Splatting",
IEEE Visualization 2004, October, 2004.
Summary: The first GPU-based approach to high quality volume splatting with EWA filtering (patent granted)
Ren, Hanspeter Pfister and Matthias Zwicker, "Object Space EWA Surface Splatting: A Hardware Accelerated
Approach to High Quality Point Rendering", Computer Graphics Forum 21(3)( EUROGRAPHICS
2002, Best Paper Nominee),
Summary: The first GPU-based approach to high quality point-based rendering with EWA filtering (patent granted)