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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...
With their stretched bodies, immense wingspan and iridescent coloring, dragonflies are a unique sight. But their originality doesn’t end with their looks: As one of the oldest insect species on the pl...
This is a coming-of-age story — involving your brain.
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...
2020视觉健康创新发展国际论坛(Vision China 2020),聚焦“呵护眼健康”主题,吸引了来自全国各地的政、企、研、学、投资等领域的众多重量级嘉宾齐聚一堂,共商眼健康事业发展。南开大学附属眼科医院王雁教授,带领视光中心李丽华主任及其团队成员荣获多个奖项。
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...
When light interacts with surfaces and participating media, it is altered in terms of its spectrum, polarization state, and spatial and angular distributions. Modeling and analyzing these processes ha...
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...
Matrix and tensor factorizations have a long history in machine learning. Being able to recover latent factors in the data and flexible enough to accommodate a large set of constraints and regularizat...
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...

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