Computer Sciences

Computer vision in the dark using recurrent CNNs

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

Recognizing the partially seen

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 ...

Computer Sciences

Fast object detection in videos using region-of-interest packing

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

Research identifies key weakness in modern computer vision systems

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 ...