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(video) Computer Vision & Pattern Recognition Conference: Advancements in Deep Learning | Brodmann17

This Meetup at SamsungNEXT covers the most interesting papers that were presented at the Conference on Computer Vision & Pattern Recognition (CVPR).

The talk in Hebrew, by Assaf Mushinsky, Brodmann17’s Chief Scientist & Co-founder covers the key topics:
• 2D & 3D Object Detection
• Instance & Panoptic Segmentation
• Efficient Deep Learning.

ABOUT ASSAF MUSHINSKY:
Assaf holds a Masters from Tel Aviv University where, under the supervision of Prof. Lior Wolf, he researched Object Detection, Computer Vision and Deep Learning. Prior to joining Brodmann17, Assaf was also a researcher and algorithm engineer at Samsung Semiconductors and Eyesight, developing algorithms for different Computer Vision tasks.

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Brodmann17 develops camera-first ADAS that is revolutionizing safety in mobility. The company’s computer-vision-centered technology substantially saves on compute power, which provides a huge saving in cost. This has brought AI for the very first time to new verticals including mass-market passenger vehicles, video telematics and micro mobility. Brodmann17 develops camera-first ADAS that is revolutionizing safety in mobility. The company’s computer-vision-centered technology substantially saves on compute power, which provides a huge saving in cost. This has brought AI for the very first time to new verticals including mass-market passenger vehicles, video telematics and micro mobility. Brodmann17’s Vision-AI is based on deep learning neural networks that extract all possible information from a video to make the entire ADAS software smarter. Brodmann17’s patented perception software is hardware agnostic and highly scalable. It is easy to integrate and deploy as it can work on any processor from low-power edge to the cloud.

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