Handwritten Text Recognition has achieved an impressive performance in p...
This work investigates the problem of sketch-guided object localization
...
One of the major prerequisites for any deep learning approach is the
ava...
Despite significant progress on current state-of-the-art image generatio...
This paper presents a novel method for date estimation of historical
pho...
In this paper, we explore and evaluate the use of ranking-based objectiv...
The emergence of geometric deep learning as a novel framework to deal wi...
The advent of recurrent neural networks for handwriting recognition mark...
Although current image generation methods have reached impressive qualit...
Sequence-to-sequence models have recently become very popular for tackli...
Handwritten Text Recognition (HTR) is still a challenging problem becaus...
In this paper, we investigate the problem of zero-shot sketch-based imag...
Despite being very successful within the pattern recognition and machine...