Computer Sciences
Researchers from the Embedded Systems and Robotics group at TCS Research & Innovation have recently developed a two-view depth network to infer depth and ego-motion from consecutive monocular sequences. Their approach, presented ...
Machine learning & AI
A team of researchers at Technion and the University of Haifa have developed a new computer vision approach for solving archaeological puzzles. In their paper, pre-published on arXiv, they introduce a general algorithm that ...
Computer Sciences
UCLA and Stanford University engineers have demonstrated a computer system that can discover and identify the real-world objects it "sees" based on the same method of visual learning that humans use.
Dec 18, 2018
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606
Computer Sciences
Over the past few years, classical convolutional neural networks (cCNNs) have led to remarkable advances in computer vision. Many of these algorithms can now categorize objects in good quality images with high accuracy.
Computer Sciences
When we open our eyes in the morning and take in that first scene of the day, we don't give much thought to the fact that our brain is processing the objects within our field of view with great efficiency and that it is compensating ...
Sep 21, 2018
0
25
Computer Sciences
Researchers at the Robert Bosch Center for Data Science and Artificial Intelligence and Center for Computational Brain Research, Indian Institute of Technology Madras, and Purdue University have recently developed a new method ...
Computer Sciences
Computer vision algorithms have come a long way in the past decade. They've been shown to be as good or better than people at tasks like categorizing dog or cat breeds, and they have the remarkable ability to identify specific ...
Jul 30, 2018
1
42
Computer Sciences
The cow goes "moo." The pig goes "oink." A child can learn from a picture book to associate images with sounds, but building a computer vision system that can train itself isn't as simple. Using artificial intelligence techniques, ...
Nov 15, 2016
4
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