Nowadays, autonomous vehicle technology is becoming more and more mature...
Autism spectrum disorder (ASD) is a lifelong neurodevelopmental disorder...
Automatic infectious disease classification from images can facilitate n...
Chest computed tomography (CT) imaging adds valuable insight in the diag...
The core of everyday tasks like reading and driving is active object
rec...
Recent advances in Deep Learning and Computer Vision have alleviated man...
We propose new semi-supervised nonnegative matrix factorization (SSNMF)
...
The evaluation of infectious disease processes on radiologic images is a...
Existing approaches to unsupervised object discovery (UOD) do not scale ...
Neural networks today often recognize objects as well as people do, and ...
Many applications in 3D shape design and augmentation require the abilit...
We propose several new models for semi-supervised nonnegative matrix
fac...
Scene text recognition models have advanced greatly in recent years. Ins...
There is currently an unprecedented demand for large-scale temporal data...