Character re-identification, recognizing characters consistently across
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Researchers have recently begun exploring the use of StyleGAN-based mode...
The algorithms used to train neural networks, like stochastic gradient
d...
This study focuses on improving the optical character recognition (OCR) ...
Drawings are powerful means of pictorial abstraction and communication.
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This paper describes the KUIS-AI NLP team's submission for the 1^st
Shar...
Self-supervised learning allows AI systems to learn effective representa...
Having sufficient resources for language X lifts it from the under-resou...
Recent advances in Artificial Intelligence and deep learning have revive...
We describe a gold standard corpus of protest events that comprise of va...
We present an overview of the CLEF-2019 Lab ProtestNews on Extracting
Pr...
In this paper, we describe our approach to utilize pre-trained BERT mode...
We present BiLingUNet, a state-of-the-art model for image segmentation u...
Human-robot interaction often occurs in the form of instructions given f...
In this paper, we present a state-of-the-art model and introduce a new
d...
We introduce MorphNet, a single model that combines morphological analys...
The encoder-decoder framework for neural machine translation (NMT) has b...