no code implementations • 31 Jan 2022 • Anh Duc Le
Social networking services have became an important communication channel in time of emergency.
no code implementations • 6 May 2020 • Anh Duc Le
For the lack of training data, we propose a random text line erasure approach that randomly erases text lines and distorts documents.
no code implementations • 30 May 2019 • Anh Duc Le, Dung Van Pham, Tuan Anh Nguyen
Inspired by the recent successes of deep learning on Computer Vision and Natural Language Processing, we present a deep learning approach for recognizing scanned receipts.
no code implementations • 14 May 2019 • Anh Duc Le, Hung Tuan Nguyen, Masaki Nakagawa
Inspired by recent successes in neural machine translation and image caption generation, we present an attention based encoder decoder model (AED) to recognize Vietnamese Handwritten Text.
no code implementations • 14 May 2019 • Anh Duc Le, Tarin Clanuwat, Asanobu Kitamoto
In this paper, we propose a human-inspired document reading system to recognize multiple lines of premodern Japanese historical documents.
1 code implementation • 21 Jan 2019 • Anh Duc Le, Bipin Indurkhya, Masaki Nakagawa
In this paper, we propose pattern generation strategies that generate shape and structural variations to improve the performance of recognition systems based on a small training set.
no code implementations • 26 Oct 2018 • Jirong Yi, Anh Duc Le, Tianming Wang, Xiaodong Wu, Weiyu Xu
In this paper, we propose a generative model neural network approach for reconstructing the ground truth signals under sparse outliers.