Search Results for author: Juhua Liu

Found 7 papers, 6 papers with code

E2S2: Encoding-Enhanced Sequence-to-Sequence Pretraining for Language Understanding and Generation

no code implementations30 May 2022 Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, DaCheng Tao

Sequence-to-sequence (seq2seq) learning has become a popular trend for pretraining language models, due to its succinct and universal framework.

Denoising Language Modelling

An End-to-end Supervised Domain Adaptation Framework for Cross-Domain Change Detection

1 code implementation1 Apr 2022 Jia Liu, Wenjie Xuan, Yuhang Gan, Juhua Liu, Bo Du

In this paper, we propose an end-to-end Supervised Domain Adaptation framework for cross-domain Change Detection, namely SDACD, to effectively alleviate the domain shift between bi-temporal images for better change predictions.

Change Detection Change detection for remote sensing images +1

Knowledge Graph Augmented Network Towards Multiview Representation Learning for Aspect-based Sentiment Analysis

1 code implementation13 Jan 2022 Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Hua Jin, DaCheng Tao

To this end, we propose a knowledge graph augmented network (KGAN), which aims to effectively incorporate external knowledge with explicitly syntactic and contextual information.

Aspect-Based Sentiment Analysis Knowledge Graphs +1

Visual Semantics Allow for Textual Reasoning Better in Scene Text Recognition

1 code implementation AAAI 2022 2021 Yue He, Chen Chen, Jing Zhang, Juhua Liu, Fengxiang He, Chaoyue Wang, Bo Du

Technically, given the character segmentation maps predicted by a VR model, we construct a subgraph for each instance, where nodes represent the pixels in it and edges are added between nodes based on their spatial similarity.

 Ranked #1 on Scene Text Recognition on SVT (using extra training data)

Language Modelling Scene Text Recognition

Unified Instance and Knowledge Alignment Pretraining for Aspect-based Sentiment Analysis

1 code implementation26 Oct 2021 Juhua Liu, Qihuang Zhong, Liang Ding, Hua Jin, Bo Du, DaCheng Tao

In practice, we formulate the model pretrained on the sampled instances into a knowledge guidance model and a learner model, respectively.

Aspect-Based Sentiment Analysis Transfer Learning

I3CL:Intra- and Inter-Instance Collaborative Learning for Arbitrary-shaped Scene Text Detection

1 code implementation3 Aug 2021 Bo Du, Jian Ye, Jing Zhang, Juhua Liu, DaCheng Tao

Existing methods for arbitrary-shaped text detection in natural scenes face two critical issues, i. e., 1) fracture detections at the gaps in a text instance; and 2) inaccurate detections of arbitrary-shaped text instances with diverse background context.

Scene Text Detection

TextFuseNet: Scene Text Detection with Richer Fused Features

3 code implementations17 May 2020 Jian Ye, Zhe Chen, Juhua Liu, Bo Du

More specifically, we propose to perceive texts from three levels of feature representations, i. e., character-, word- and global-level, and then introduce a novel text representation fusion technique to help achieve robust arbitrary text detection.

Scene Text Detection

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