Feb 7, 2016 at 12:34 am in by Computer Vision Central

VIEW2016

 

New! Program

Call For Participation: Venture Pitch Contest 

The CVPR View Pitch Contest is your opportunity to get connected with a mentor, and have you startup idea vetted by entrepreneurs and investors.

Here is how it works:

  • Phase 1: Submit a abstract (up to 1 page)
  • Phase 2: Submit a pitch deck.
  • Get connected with a mentor, who will give you feedback on your business, as well as your pitch.
  • If you are selected, you can pitch your company at CVPR in front of an array of investors who actually invest in vision companies.

The only requirement is that one of your team must be attending CVPR, and that the topic must use technologies that are related to vision and pattern recognition. Applicants told us that the mentorship, and feedback from investors was the most valuable part of the competition.  Last year, first Prize was a Roomba. This year, there may be cash prizes…

 Details:

  • Only non-confidential material may be submitted.
  • Abstract: Make sure you focus on what your product is, who will use your product, and how you will make money.
  • Pitch Deck: A standard 12-15 slide pitch deck. Your mentor will give you further instructions.

For any questions, please don’t hesitate to contact us at view2016@computervisioncentral.com.

Mentors

  • Chris Jones, VP Technology IRobot.
  • Samson Timoner, Founder of Scalable Display Technologies, Mythical Labs
  • Shahid Azim, Founder of Lantos, Quanttus.
  • Mark Nitzberg, Founder of Blightsite, SmartLeaf.
  • Stan Reiss, General Partners @ Matrix Partners
  • Jason Sager, Founder Sagely Health
  • Hillel Bachrach, Serial Entrepreneur and Managing Partner of the investment fund HealthCare Partners LLC

Venture Pitch Contest: Judges

Chris Jones

Matthew Zeiler, CEO at Clarifai

Tarun Pandit

Tarun Pandit, Capricorn Investment Group

Teddy Kumar

Teddy Kumar, SRI International

Shmuel Peleg

Shmuel Peleg, Hebrew University of Jerusalem

  • Matthew Zeiler received his Ph.D in Computer Science from New York University in those fields. He has since launched a company called Clarifai to bring large scale deep learning into every day use. Through Clarifai, he won the Imagenet 2013 Classification Challenge (results) and has since been making huge strides in improving accuracy, speed, and memory usage of these models.
  • Tarun Pandit has over 8 years of investing experience and is currently an investor at Capricorn Investment Group, a values-based investment firm with offices in Palo Alto and New York. Prior to Capricorn Investment Group, Tarun held positions in equity research and management consulting. He has a Bachelors in Technology from IIT-BHU Varanasi and a Masters in Civil Engineering and Business Administration from UC Berkeley.
  • Rakesh “Teddy” Kumar, Ph.D., is director of the Center for Vision Technologies in Information and Computing Sciences at SRI International. In this role, he is responsible for leading research and development in the fields of computer vision, robotics, image processing, computer graphics, and visualization algorithms and systems for government and commercial clients.
  • Shmuel Peleg received his Ph.D. in Computer Science from the University of Maryland in 1979. In 1981 he became a faculty member at the Hebrew University of Jerusalem where he is a Professor of Computer Science. Shmuel served as the first chairman of the Institute of Computer Science at The Hebrew University from 1990 to 1993.

Important Dates

  • Preliminary Submission: April 22, 2016
  • Final Submission:April 22, 2016
  • Notification: April 29, 2016
  • Workshop: June 26, 2016

Important Information

Organizers:

  • General ChairsArnab Dhua (A9.com), Himanshu Arora (A9.com)
  • Venture Pitch Chair: Samson Timoner (Creator The Cyclops)
  • Industry Session Chair: Ziyan Wu (Siemens)
  • Steering Committee:  Sek Chai (SRI International), Terry Boult (University of Colorado, Colorado Springs), Boaz Super (Conversant)
  • Web Chair Yu Wang (Ambarella)

Previous VIEWs

VIEW2015
VIEW2014
VIEW2013
VIEW2012

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