How one computer vision company is turning passive surveillance into proactive protection—across schools, cities, federal ...

Estimating the pose of hand-held objects is a critical and challenging problem in robotics and computer vision. While leveraging multi-modal RGB and depth data is a promising solution, existing ...

Patent-pending imaging technologies created in Purdue University's College of Engineering could be developed and ...

Research students at LSU are working to decrease intersection crashes through implementing an artificial intelligence ...

Purdue engineers are developing CT-Bound and MetaHDR, imaging technologies with applications as broad as medical imaging, ...

Abstract: Human Action Anomaly Detection is an advanced technology that leverages computer vision and machine learning to identify ... spatial-temporal transformer network for predicting human-object ...

Abstract: To assess the vulnerability of deep neural networks in the physical world, many studies have introduced adversarial examples and applied them to computer vision tasks such as object ...