VIEW 2014: Third Annual Vision Industry and Entrepreneur Workshop (Held in conjunction with CVPR 2014)
Dec 29, 2013 at 11:08 pm in by Computer Vision Central
Location: Grand Ballroom 3
Schedule: Full day
08:35 Welcome: Sek Chai (SRI), Himanshu Arora (A9.com)
S1: Mobile Platforms for Computer Vision (08:45–10:05)
- 08:45 Invited Talk: Mobile Computational Imaging, Kari Pulli (Nvidia)
- 09:25 Invited Talk: Computer Vision Applications for Mobile and Beyond, Mahesh Ramachandran (Qualcomm)
- 10:05 Morning Break
- 10:25 Invited Talk: OpenVX: The Computer Vision Hardware Abstraction Layer, Victor Eruhimov (Khronos)
S2: Distinguished Speaker (10:25–12:10)
- 11:05 Invited Talk: The Pit and the Pendulum: Academic Research in Industrial Labs, Rahul Sukthankar (Google)
S3: Industry Session: Demos, Posters, Recruiting (11:45–15:00)
- 11:45 Industry Session Spotlights: Moderator: Arnab Dhua (A9.com), Marshall Tappen (Amazon)
- 12:10 Lunch Break
- 13:15 Demos, Posters, Recruiting:
- Computer Vision for Enterprise and Public Safety at Motorola Solutions, Ankur Patel
- Xerox Computer Vision for Roadway Transportation Systems: Robust, High Yield Automated License Plate Recognition, Aaron Burry, Vladimir Kozitsky
- Xerox Computer Vision for Roadway Transportation Systems: Automated Image-Based Detection of Front Seat Passengers in Vehicles, Aaron Burry, Peter Paul, Yusuf Artan, Florent Perronnin
- Video Analytics at United Technologies Research Center, Alan Finn
- Real-time urban metering with pedestrian and vehicle recognition, Alexandre Winter, Ignacio Mellado Bataller, Tuan Thi
- Collaborative Computer Vision R&D at Kitware, Arslan Basharat, Sangmin Oh, Matt Leotta, Rusty Blue, Keith Fieldhouse, Matt Turek, Brad Davis, Heather James, Anthony Hoogs
- TeraDeep: intelligent vision systems, Eugenio Culurciello ViPanix: Panoramic Videos, Francisco Hernandez-Lopez, Mariano Rivera
- Enhancing Confidence in Video Analytics, Gary Rubin, David Berger
- PercepTonic: we see solutions, Goksel Dedeoglu, Susan Rossbach
- Real-time image classification on mobile phones, Harro Stokman, Samir Kumar, Daniel Fontijne, Ork de Rooij
- Amazon Fulfillment Technology Computer Vision, Marshall Tappen
- ReKognition API Platform, Meng Wang, Tianqiang Liu, Yushan Chen
- Computer Vision at Eyenuk: Image Analysis for Your Health and Your Photos, Sandeep Bhat, Chaithanya Ramachandra, Malavika Bhaskaranand, Kaushal Solanki
- SRI International: Breakthrough Ideas… Real-World Solutions, Sek Chai
- Visual Search Technology for Amazon, Sunil Ramesh, Arnab Dhua, Himanshu Arora
- 15:00 Afternoon Break
S4: Computer Vision in Services Industry (15:25–16:45)
- 15:25 Invited Talk: Computer Vision with an Eye on Services, Raja Bala and Peter Paul (Xerox)
- 16:05 Invited Talk: An Overview of Retail Video Analytics, Quanfu Fan (IBM)
S5: Panel Session (16:45–17:30)
- 16:45 Panel: Computer Vision Industry and Community, Moderator: Terrance Boult (UCCS)
- 17:20 Beyond VIEW 2014: Terrance Boult (UCCS), Sek Chai (SRI)
Rahul Sukthankar is a scientist at Google Research, an adjunct research professor in the Robotics Institute at Carnegie Mellon and courtesy faculty in EECS at the University of Central Florida. He was previously a senior principal researcher at Intel Labs (2003-2011), a senior researcher at HP/Compaq Labs (2000-2003) and research scientist at Just Research (1997-2000). Rahul received his Ph.D. in Robotics from Carnegie Mellon in 1997 and his B.S.E. in Computer Science from Princeton in 1991. His current research focuses on computer vision and machine learning, particularly in the areas of object recognition, video understanding and information retrieval.
Victor Eruhimov is a CEO of Itseez, a computer vision R&D company. He is an entrepreneur with an extensive background in computer vision. Prior to co-founding Itseez, Victor worked as a project manager and senior research scientist at Intel Corporation. He is the author of more than 25 papers in the areas of computer vision and machine learning as well as several US and international patents. Victor has also been involved in several open source projects, being a developer of the OpenCV library. Since 2012 Victor serves as chairman of the OpenVX working group at Khronos that develops the open standard for the computer vision industry.
Kari Pulli is Senior Director at NVIDIA Research where he heads the Mobile Visual Computing team, which works on topics related to cameras, imaging, and vision on mobile devices such as tablets, smartphones, and cars. Previously he was at Nokia (1999-2004 in Oulu, Finland; 2004-06 a visiting scientist at MIT CSAIL; 2006-11 at Nokia Research Center Palo Alto); he was one of the 3 Nokia Fellows in 2010, and a Member of CEO’s Technology Council. Kari worked on standardizing mobile graphics APIs at Khronos (OpenGL ES, OpenVG) and JCP (M3G), wrote with colleagues a book on Mobile 3D Graphics, and lead a research group working on mobile augmented reality and computational photography (including the FCam architecture for computational cameras). Kari has a B.Sc. from the University of Minnesota, M.Sc. and Lic. Tech. from the University of Oulu (Finland), and Ph.D. from the University of Washington (Seattle), all in Computer Science / Engineering; MBA from the University of Oulu; and he worked as a research associate at Stanford University as the technical lead of the Digital Michelangelo Project.
Mahesh Ramachandran is a Staff Systems Engineer at Qualcomm Research in San Diego (2010 onwards). He is currently working on developing real-time vision systems on mobile devices. He received his Masters and Ph.D. degrees in Electrical and Computer Engineering from the University of Maryland College Park in 2010, and the Bachelors degree in Electrical Engineering from the Indian Institute of Technology Madras. He has authored 10 papers and has over 20 US and international patents filed in various mobile technologies covering augmented reality, computer vision, contextual inference based on his work; and has received 2 inventor recognition awards. His current research focuses on SLAM, Visual-inertial odometry, 3D modeling, with a focus on developing real-time mobile computer vision systems. He is a Senior Member of the IEEE.
Raja Bala is a Principal Scientist and Manager at Xerox Research Center Webster. His research interests include computer vision, mobile imaging, video processing, and color imaging. He is currently leading an effort to build mobile applications for smart capture and recognition of documents in business workflows. He also leads a project exploring the use of mobile and wearable vision technologies to analyze human behavior in a variety of business settings, including healthcare, education, and retail. Bala received a Ph.D. in Electrical Engineering from Purdue University, and holds over 120 U.S. patents, and over 100 publications in the field of digital imaging. He has served as Associate Editor of the Journal of Imaging Science and Technology, and Vice President of Publications for the Society for Imaging Science and Technology. Bala is a Fellow of IS&T and Senior Member of IEEE.
Peter Paul is a Principal Scientist and Area Manager in the Systems Laboratory at Xerox Research Center Webster (XRCW). In addition to this role, he also leads an IT Services Research Program, with heavy focus on Video Analytics applications. Peter’s research encompasses a wide variety of system science disciplines including signal, image and video processing, computer vision and machine learning, as well as control systems. He has developed end-to-end system applications including working with end clients in defining relevant research problems, using Design for Six Sigma methods for concept selection and experimentation, real-world prototyping and testing, and system performance validation. Peter has been issued 54 U.S. patents in these areas and has 40 additional patents pending. Peter obtained his BS, MS, and PhD degrees from Case Western Reserve University in Cleveland, OH and prior to Xerox he was at Raytheon Systems Company in Los Angeles, CA working on Radar Systems.
Quanfu Fan is a Research Staff Member in the Exploratory Computer Vision group, IBM T. J. Watson Research Center. He received his Ph.D. degree in Computer Science from the University of Arizona in 2008. His research interests cover multiple aspects of computer vision, including image and video understanding, human activity recognition and video analytics. He is currently working on developing techniques for solving practical surveillance problems and has been a member of the core R&D team of the IBM surveillance offering since 2010. From 2008 to 2010, he led the development of a camera-based cashier fraud detection system, which was demonstrated live at the nation’s largest retail trade show in 2010. He has over 30 publications in the field of computer vision and multimedia.
Call For Participation in VIEW 2014: Third Annual Vision Industry and Entrepreneur Workshop at CVPR
Computer vision today is a commercial force. Startups and global corporations are building businesses based on computer vision technology. These businesses provide computer vision based solutions for the needs of consumers, enterprises, non-profits, and governments. The demand for computer vision based solutions is also driving commercial and open-source development in associated areas, including hardware and software platforms for embedded and cloud deployments, new camera designs, new sensing technologies, and compelling applications.
The third annual Vision Industry and Entrepreneur Workshop (VIEW 2014) will be held with the Conference on Computer Vision and Pattern Recognition (CVPR). Our purpose is to bridge the commercial and academic worlds of computer vision. VIEW provides a place where researchers, technologists, businesses, investors, and users can meet.
The program will feature invited talks from industry leaders on platforms for mobile, embedded computer vision; computer vision as an engine for new services businesses; and computer vision for social networks. As in past years, there will be a dedicated all-industry posters-and-demos session where companies from startups to Fortune 500s, as well as non-profit organizations, can introduce themselves to the community, demonstrate their technologies and products, recruit talent, and network.
Call For Participation in the VIEW 2014 All-Industry Session (Posters, Demos, and Recruiting)
Applications are solicited to present posters and/or demos at “VIEW 2014: Industry Session” from startups, industry teams, non-profits, venture capitalists, and other groups, who are actively working on or are supportive of computer vision technology and solutions. This session will be different from a typical CVPR workshop poster session: its principal aim is to enable organizations to present themselves for recruiting, networking, publicity, and feedback; and showcase their technology and solutions to a wide audience. Applicants are encouraged to include demos to showcase their solutions. No proceedings are planned.
This session will facilitate close interaction between the presenters and attendees. In this sense, the session will also serve as a recruiting event. The workshop attendees are encouraged to bring their resumes.
The submission should consist of a title, an abstract, and, a draft poster in PDF format. The applicants should indicate if the submission is a poster or a demo or both. Applications will be reviewed by a selection committee for relevance, interest, quality, and balance. Presentation of technology, value proposition, team, and competitive landscape are encouraged, but only non-confidential material may be submitted. For further submission information, please visit the workshop website at http://cvisioncentral.com/view2014/. For any questions, please don’t hesitate to contact us at view2014-IS@computervisioncentral.com.
The site will soon be open for submission and the submission deadline will be announced.
March 31, 2014
April 14, 2014
- Workshop: June 23, 2014
Priority will be given to submissions received by the deadline. Submissions after the deadline will be considered based on space constraints.
- Call for Partification: PDF,TXT (industry session)
- Website: http://cvisioncentral.com/view2014/
- Contact: view2014-IS@computervisioncentral.com
- Submission: https://www.easychair.org/conferences/?conf=view2014
- General Chairs: Sek Chai (SRI International), Boaz Super (Motorola Solutions)
- Chairs: Himanshu Arora (A9.com), Terry Boult (University of Colorado, Colorado Springs)
- Session Chairs: Raja Bala (Xerox), Sek Chai (SRI International), Arnab Dhua (A9.com), Marshall Tappen (Amazon)
- Web Chair: Yu Wang (Ambarella)