Liu Ren, Ph.D.Dr.Liu Ren is currently Global Head and Chief Scientist in Robert Bosch Research at Palo Alto, CA. He is responsible for shaping strategic directions and developing cutting-edge technologies in the field of User Technologies and HMI (Human Machine Interaction) systems for Robert Bosch Corporation, a multi-national corporation with over $60 Billion revenue and more than 300,000 employees worldwide.
As the responsible global head, Liu oversees research activities conducted by several research teams located in Silicon Valley (U.S.), Stuttgart (Germany) and Shanghai (China). The research topics include Augmented Reality (AR), Virtual Reality (VR), Big Data Visual Analytics, 3D Mapping and Rendering, Natural Language Interaction, Language and Audio Analytics, Knowledge Engineering, Haptics Engineering, User Modeling, and Monitoring for application areas such as car infotainment and driver assistance systems (ADAS), automotive aftermarket services and solutions, security systems, highly automated driving (HAD), smart home and building solutions, Internet of Things (IoT), robotics, and Industry 4.0. Many of his research results have great product impact. 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, which has been used in many products since 2010. Since 2013, he has also led Bosch Research's R&D efforts to develop new technologies in a high profile cross-unit project collaborated with local business units to present latest HMI innovations to automotive customers for Bosch's yearly CES (Consumer Electronics Show) demonstrations in private innovation showrooms at Las Vegas.
Liu received his Ph.D. and M.Sc. degrees in Computer Science from Computer Science Department, Carnegie Mellon University, under the supervision of Prof.Jessica Hodgins. His Ph.D. work focused on data-driven character animation that spans the areas of computer graphics, computer vision and machine learning. He received B.Sc. and M.Sc. (topic: AI-assisted CAD) degrees from Computer Science Department of Zhejiang University in China.
Selected Products
3D artMap (watercolor & pencil hatching style, Berlin and Stuttgart)
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 first iPhone app product (successfully launched in 2010.12 for 19 european countries) and several in-car navigation products.
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Panpan Xu, Honghui Mei, Liu Ren, and Wei Chen, “ViDX: Visual Diagnostics of Assembly Line Performance in Smart Factories”, video, IEEE Transactions on Visualization and Computer Graphics (IEEE VAST'16), Honorable Mention Award, NEW!
Summary: A first visual analytics approach to addressing the needs (e.g., easy process optimization and intuitive troubleshooting for manufacturing) of a new application domain-Industry 4.0 or Connected Industry
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Bilal Alsallakh and Liu Ren, “PowerSet: A Comprehensive Visualization of Set Intersections”, video, IEEE Transactions on Visualization and Computer Graphics (IEEE Info VIS 2016), NEW!
Summary: A simple and novel set visualization approach for various kinds of big data analytics applications (e.g., predictive analytics)
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Chao Du, Yen-Lin Chen, Mao Ye, and Liu Ren, “Edge Snapping-Based Depth Enhancement for Dynamic Occlusion Handling in Augmented Reality”, video, IEEE International Symposium on Mixed and Augmented Reality 2016, (full paper for ISMAR 2016) NEW!
Summary: A near real-time approach to dealing with dynamic occlusion handling challenges with high quality visual presentations for both video see-through and optics see-through AR applications
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Benzun Wisely Babu, Soohwan Kim, Zhixin Yan, and Liu Ren, “σ-DVO: Sensor Noise Model Meets Dense Visual Odometry”, video, IEEE International Symposium on Mixed and Augmented Reality 2016, (full paper for ISMAR 2016) NEW!
Summary: A novel dense tracking approach by incorporating uncertainty modeling of depth measurements in the optimization framework of RGBD sensing for AR, leading to a drastic 25% error reduction compared to the state-of-the art solution
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| Jennifer Chandler, Lei Yang and Liu Ren, "Procedural Window Lighting Effects for Real-Time City Rendering", video, ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games (I3D) 2015.
Summary: A fast and scalable approach to addressing challenges in large scale night view rendering for big cities with applications in computer graphics and real-time geo-visualization for future infotainment systems
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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
Summary: A high accurate human pose estimation algorithm for entertainment applications that employ a depth sensor as input
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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)
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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),
August, 2005.
Summary: The first approach to automatic human animation quality evaluation
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Liu Ren, Gregory Sharknarovich, Jessica Hodgins, Hanspeter Pfister and Paul Viola, "Learning Silhouette Features for
Control of Human Motion", ACM Transactions on Graphics (SIGGRAPH
2004 Recommendation),
October, 2005.
Summary: A novel and low cost vision-based interface for "do-as-I-do" applications in entertainment industry
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Wei Chen, Liu Ren, Matthias Zwicker and Hanspeter Pfister,
"Hardware-Accelerated
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)
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Liu
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),
September, 2002.
Summary: The first GPU-based approach to high quality point-based rendering with EWA filtering (patent granted) |
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