Computer Vision

MUNET: Multi-Task Unified Network for On-Device Autonomous Driving
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MUNET: Multi-Task Unified Network for On-Device Autonomous Driving

Computer Vision, Conferences, IMVC 2018

MUNET: Multi-Task Unified Network for On-Device Autonomous Driving

admin2020-10-11T10:12:02+03:00March 22nd, 2018|Computer Vision, Conferences, IMVC 2018|

Dr. Ilan kadar, Nexar

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The Use of Augmented Reality, Machine Vision and Deep Learning Tools
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The Use of Augmented Reality, Machine Vision and Deep Learning Tools

Computer Vision, Conferences, IMVC 2018

The Use of Augmented Reality, Machine Vision and Deep Learning Tools

admin2020-10-11T10:13:47+03:00March 21st, 2018|Computer Vision, Conferences, IMVC 2018|

Prof. Gabby Sarusi, Ben-Gurion University

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Image Synthesis and the Challenges it Poses
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Image Synthesis and the Challenges it Poses

Computer Vision, Conferences, IMVC 2018

Image Synthesis and the Challenges it Poses

admin2020-10-11T10:14:30+03:00March 21st, 2018|Computer Vision, Conferences, IMVC 2018|

Prof. Lihi Zelnik Manor, Technion

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Optimizing PyTorch training code
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Optimizing PyTorch training code

Computer Vision, Deep Learning, GPU Computing

Optimizing PyTorch training code

admin2019-11-03T11:30:04+02:00September 19th, 2017|Computer Vision, Deep Learning, GPU Computing|

How to run faster your PyTorch training code

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Impressions from CVPR 2017
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Impressions from CVPR 2017

Computer Vision, Conferences, Deep Learning, GPU Computing

Impressions from CVPR 2017

admin2017-08-21T16:13:42+03:00August 21st, 2017|Computer Vision, Conferences, Deep Learning, GPU Computing|

Assaf Shocher, Weizmann Institute

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Industrial and Professional Cameras
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Industrial and Professional Cameras

Computer Vision

Industrial and Professional Cameras

admin2017-07-18T11:05:47+03:00July 18th, 2017|Computer Vision|

Moshe Yanay, OpteamX LTD.

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Visualizing Image Priors
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Visualizing Image Priors

Computer Vision

Visualizing Image Priors

admin2020-10-11T10:16:03+03:00July 18th, 2017|Computer Vision|

Tamar Rott Shaham, Technion

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Seeing between the pixels: The past and future of Super-resolution
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Seeing between the pixels: The past and future of Super-resolution

Computer Vision, Deep Learning

Seeing between the pixels: The past and future of Super-resolution

admin2017-07-04T12:25:43+03:00July 4th, 2017|Computer Vision, Deep Learning|

Assaf Shocher, Weizmann Institute

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Employing Context for Fine-Grained Object Recognition in Crowded Images
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Employing Context for Fine-Grained Object Recognition in Crowded Images

Computer Vision, Conferences, IMVC 2017

Employing Context for Fine-Grained Object Recognition in Crowded Images

admin2020-10-11T10:18:22+03:00June 21st, 2017|Computer Vision, Conferences, IMVC 2017|

Eran Goldman, Trax Image Recognition

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Joint work by Google and SagivTech on Orientation Invariant People Detection
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Joint work by Google and SagivTech on Orientation Invariant People Detection

Computer Vision, Conferences, Deep Learning

Joint work by Google and SagivTech on Orientation Invariant People Detection

admin2018-07-18T14:41:04+03:00May 21st, 2017|Computer Vision, Conferences, Deep Learning|

Google IO 2017

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