Welcome to ACV Meetup
Welcome to ACV Meetup

Welcome to ACV Meetup

What is ACV?
This is a monthly online event in which applied computer vision problems are presented and discussed.
What we're interested in
  • Real-world computer vision challenges
  • Where inference time, simplicity, explainability and maintenance do matter
  • And where input data is typically not perfect
What does a typical presentation look like?
The presentation template is the following:
  • 30 minutes presentation of the problem, the data, the current solution, and ideas to improve it
  • 30 minutes Q&A and brainstorm on open challenges
Note that presenters do not have to present a solution to their challenge. The full session can also be used for brainstorming purposes too.
Talks are recorded and stored in the sessions section.
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Who is it for?
Researchers, startup founders, indie hackers, freelancers, students, employees, working on applied computer vision problems and interested in sharing challenges and ideas.
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How to join?
Want to present at ACV? Or simply attend? Click on the link below :)
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👉
Next session ”Diffractive Neural Networks - Applications, Benefits and Challenges” by Paul Buske, RWTH
16.06.2022, 5PM CET
Abstract
Optical computing promises revolutionary computing system because of its inherent energy efficiency, broadband capabilities, and most of all speed. We work with a specific optical computing method called diffractive neural networks which are physically realized neural networks based on structured glass surfaces and light. We’ll give an overview over the method and its applications but will also discuss current problems and challenges.
 
Watch all the talks on our YouTube channel.

Sponsor

 
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biped.ai is the world's first AI co-pilot for the blind, giving them vision with sounds. The team is on a mission to help blind users sense and understand what they've never been able to. We're hosting this meetup to share and grow together. We're always looking for great software engineers to join us. Check out the open positions below: