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05/23/2023
From Characters to Words: Hierarchical Pre-trained Language Model for Open-vocabulary Language Understanding
Current state-of-the-art models for natural language understanding requi...
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03/19/2023
Diffusion-based Document Layout Generation
We develop a diffusion-based approach for various document layout sequen...
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11/10/2021
Improving Structured Text Recognition with Regular Expression Biasing
We study the problem of recognizing structured text, i.e. text that foll...
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09/21/2021
TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models
Text recognition is a long-standing research problem for document digita...
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04/18/2021
LayoutXLM: Multimodal Pre-training for Multilingual Visually-rich Document Understanding
Multimodal pre-training with text, layout, and image has achieved SOTA p...
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12/29/2020
LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding
Pre-training of text and layout has proved effective in a variety of vis...
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12/08/2020
TAP: Text-Aware Pre-training for Text-VQA and Text-Caption
In this paper, we propose Text-Aware Pre-training (TAP) for Text-VQA and...
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11/18/2018
RePr: Improved Training of Convolutional Filters
A well-trained Convolutional Neural Network can easily be pruned without...
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04/16/2018
A Fusion Framework for Camouflaged Moving Foreground Detection in the Wavelet Domain
Detecting camouflaged moving foreground objects has been known to be dif...
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02/15/2018
Deep Learning Based Speech Beamforming
Multi-channel speech enhancement with ad-hoc sensors has been a challeng...
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07/11/2017
