In recent years, Word-level Sign Language Recognition (WSLR) research ha...
Reading analysis can give important information about a user's confidenc...
In this paper, an end-to-end neural embedding system based on triplet lo...
This paper proposes the first object counting method for omnidirectional...
Minimum Steiner tree problem is a well-known NP-hard problem. For the mi...
This article introduces publicly available datasets in scene text detect...
This paper proposes a powerful regularization method named ShakeDrop
reg...
This paper addresses the automatic generation of a typographic font from...
On general object recognition, Deep Convolutional Neural Networks (DCNNs...
Finding the nearest subspace is a fundamental problem and influential to...