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Before a machine-learning model can complete a task, such as identifying cancer in medical images, the model must be trained. Training image classification models typically involves showing the model ...
Giving our hardware sight has empowered a host of applications in self-driving cars, object detection, and crop monitoring. But unlike animals, synthetic vision systems can’t simply evolve under natur...
Data visualizations on the web are largely inaccessible for blind and low-vision individuals who use screen readers, an assistive technology that reads on-screen elements as text-to-speech. This exclu...
Labeling data can be a chore. It’s the main source of sustenance for computer-vision models; without it, they’d have a lot of difficulty identifying objects, people, and other important image characte...
Neuroscientists and computer vision scientists say a new dataset of unprecedented size -- comprising functional brain scans of four volunteers who each viewed 5,000 images -- will help researchers bet...
Vision-based navigation has become an attractive solution for autonomous navigation for planetary exploration. This paper presents our work of designing and building an autonomous vision-based GPS-den...
Using images to determine camera position and attitude is a consolidated method, very widespread for application like UAV navigation. In harsh environment, where GNSS could be degraded or denied, imag...
Georgia State University researchers have compiled a large solar dataset from the National Aeronautics and Space Administration (NASA), providing computer vision researchers with unprecedented insight...
Syria is one of the world’s most impressive Cultural Heritages in terms of the number and historical significance of its monuments. Palmyra lies in the heart of Syria, an oasis in the midst of the ari...
Recent advances in deep learning techniques have made impressive progress in many areas of computer vision, including classification, detection, and segmentation. While all of these areas are relevant...
Micro-nano robotics is one of the key research directions of nanotechnology. Prof. Toshio Fukuda created the IEEE Nanotechnology Council and IEEE International Conference on Nanotechnology in 2000. Du...
Two years have passed since the first workshop on Light Fields for Computer Vision at ECCV 2014, during which the field has advanced substantially. There have been breakthroughs in the differential th...
We are proud to announce that the Vision Industry and Entrepreneur Workshop (VIEW 2017) has been fully integrated into the CVPR 2017 EXPO. This year, the EXPO will have a new event called EXPO Spotli...
Aims and scope: Research progress in computer vision and pattern recognition has lead to a variety of modeling techniques with (almost) human-like performance in a variety of tasks. A clear example o...
With the advent of autonomous driving and augmented reality, the applications of visual odometry are significantly growing. The development of smart-phones and cameras is also making the visual odomet...

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