Convolutional neural networks (CNNs) have gained significant popularity ...
This paper proposes a novel nature-inspired meta-heuristic algorithm cal...
Context: DevOps has become one of the fastest growing software developme...
We propose an augmented Parallel-Pyramid Net (P^2 Net) with feature
refi...
Informative features play a crucial role in the single image super-resol...
Deep learning technique has dramatically boosted the performance of face...
Deep learning models often require much annotated data to obtain good
pe...
Early Unsupervised Domain Adaptation (UDA) methods have mostly assumed t...
In this paper, we propose a novel end-to-end unsupervised deep domain
ad...
The target of human pose estimation is to determine body part or joint
l...
In order to make facial features more discriminative, some new models ha...
A fast and effective motion deblurring method has great application valu...
Recently, learning discriminative features to improve the recognition
pe...
The performance of face detectors has been largely improved with the
dev...