Embedded Vision Summit 2015

By | April 19, 2015

As a grad student I went to the Czech Republic in 2004 to attend the European Conference on Computer Vision (ECCV). My paper with Sameer Agarwal, who is now a researcher at Google, had been accepted and my advisor Dr. David Kriegman had generously funded my trip to Europe. I had published at other conferences before, but ECCV 2004 was my first big conference.

My trip to ECCV that year had quite an impact on me. The atmosphere was electric. The enthusiasm was infectious. People were excited about their work and were generously sharing ideas. I got to meet some of the luminaries of computer vision whose papers and books I had read. Occasionally I heard some of these very smart people discussing some of the problems in their research, how they were stuck, and were unable to figure out a way forward. At other times I heard stories about breakthroughs that took years to accomplish.

ECCV 2004 showed me a big picture about where computer vision research was headed. It showed me how my own research fit in the grand scheme of things. In subsequent years I went on to publish several papers in other top vision conferences. Every time I went to a conference, met people, discussed ideas, it added enormously to my experience and understanding of computer vision as a whole.

Embedded Vision Summit LogoAs an entrepreneur, researcher and developer I need to be in touch with the latest developments in the industry. One of the ways to do this is by going to top industry conferences. This year I am attending the Embedded Vision Summit on May 12, 2015 in Santa Clara, California. This conference is backed by important companies in the field and it attracts some of the top people. Last year Dr. Yann LeCun ( the leading deep learning expert in the world! ) and Dr. Nathaniel Fairfield ( remember Self Driving Cars ) were keynote speakers. This year’s keynote speakers are Dr. Mike Aldred ( Dyson ) and Dr. Ren Wu ( Deep Learning expert at Baidu ). Last year there were more than 500 attendees representing more than 200 companies, and 92% of attendees turning in evaluation forms said they’d recommend the event to a colleague.

OpenCV at Embedded Vision Summit

For OpenCV folks the conference gets even more interesting. Dr. Gary Bradski, President and CEO of OpenCV foundation, will talk about the latest developments in OpenCV. Yury Gorbachev, Principal Engineer at Itseez, will talk about “OpenCV for Embedded: Lessons Learned”. He is responsible for creating a highly optimized computer vision platform for driver safety applications. There are several other speakers talking about Computer Vision and Deep Learning applications. Here is the complete agenda. You may also find the accompanying workshops useful.

Register

If you are interested in the conference, you can register here. Details about the conference are provided below

Registration  http://www.embedded-vision.com/summit/attend/register
Speakers  http://www.embedded-vision.com/summit/highlights/speakers
Agenda  http://www.embedded-vision.com/summit/attend/agenda
Workshops  http://www.embedded-vision.com/summit/highlights/workshops
Venue Santa Clara Convention Center
5001 Great America Parkway
Santa Clara, CA 95054 USA
Workshops May 11 and May 13, 2015
Summit May 12, 2015

Connect

If you are regular reader of this blog, and are planning to attend the conference, I would love to talk to you during the conference. Just drop me an email at spmallick [ at ] learnopencv.com.

DISCLAIMER : I am not associated with Embedded Vision Alliance. However, I will be giving a presentation about Computer Vision research and development at my company to a private group of Embedded Vision Alliance partners on May 13, 2015.

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About Satya Mallick

I am an entrepreneur with a love for Computer Vision and Machine Learning with a dozen years of experience (and a Ph.D.) in the field. In 2007, right after finishing my Ph.D., I co-founded TAAZ Inc. with my advisor Dr. David Kriegman and Kevin Barnes. The scalability, and robustness of our computer vision and machine learning algorithms have been put to rigorous test by more than 100M users who have tried our products.