Computer Sciences
Generative adversarial networks (GANs), a class of machine learning frameworks that can generate new texts, images, videos, and voice recordings, have been found to be highly valuable for tackling numerous real-world problems. ...
Internet
Memes, images or videos with text overlays that convey funny messages to specific audiences are a well-known global phenomenon. As they tend to rapidly circulate online and become viral quickly, memes are also sometimes included ...
Robotics
To navigate their surroundings safely and most effectively, robots should be supported by a highly performing computer vision system. One of the greatest challenges when developing computer vision systems for robots is to ...
Computer Sciences
Over the past few decades, surveillance cameras, also known as closed-circuit television (CCTV) cameras, have become widely used by governments, law enforcement officers and private citizens to monitor public spaces, prevent ...
Robotics
In order to complete complex everyday tasks such as using equipment, cooking or building furniture, robots should be able to plan their actions and manipulate objects in their surroundings. So far, however, teaching robots ...
Robotics
A team of researchers at ETH Zurich in Switzerland has recently developed a multi-camera optical tactile sensor (i.e., a tactile sensor based on optical devices) that collects information about the contact force distribution ...
Computer Sciences
Optical illusions, images that deceive the human eye, are a fascinating research topic, as studying them can provide valuable insight into human cognition and perception. Researchers at Flinders University, in Australia, ...
Computer Sciences
Detecting and analyzing cracks in man-made structures is an important task that can help to ensure that buildings are safe and well-maintained. As employing human workers to inspect buildings regularly can be very expensive, ...
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 ...
