activity
20152026
most citedProgressive Feature Fusion Network for Realistic Image Dehazing

14 citations · 52 across the 12 of their papers we have counts for

collaborators

12 papers

cs.CL2026

Low-resource Language Discrimination Towards Chinese Dialects with Transfer learning and Data Augmentation

Fan Xu, Yangjie Dan, Keyu Yan +2

Chinese dialects discrimination is a challenging natural language processing task due to scarce annotation resource. In this article, we develop a novel Chinese dialects discrimina…

cs.CL2026

Speech-Driven End-to-End Language Discrimination towards Chinese Dialects

Fan Xu, Jian Luo, MingWen Wang +1

Language discrimination among similar languages, varieties, and dialects is a challenging natural language processing task. The traditional text-driven focus leads to poor results.…

cs.CV2023★ 4 cited

Industrial Anomaly Detection and Localization Using Weakly-Supervised Residual Transformers

Hanxi Li, Jingqi Wu, Deyin Liu +4

Recent advancements in industrial anomaly detection (AD) have demonstrated that incorporating a small number of anomalous samples during training can significantly enhance accuracy…

cs.CV2022★ 14 cited

Convolutional Neural Network with Convolutional Block Attention Module for Finger Vein Recognition

Zhongxia Zhang, Mingwen Wang

Convolutional neural networks have become a popular research in the field of finger vein recognition because of their powerful image feature representation. However, most researche…

cs.CV2021

Finger Vein Recognition by Generating Code

Zhongxia Zhang, Mingwen Wang

Finger vein recognition has drawn increasing attention as one of the most popular and promising biometrics due to its high distinguishes ability, security and non-invasive procedur…

cs.CV2021★ 2 cited

StrokeGAN: Reducing Mode Collapse in Chinese Font Generation via Stroke Encoding

Jinshan Zeng, Qi Chen, Yunxin Liu +2

The generation of stylish Chinese fonts is an important problem involved in many applications. Most of existing generation methods are based on the deep generative models, particul…

cs.CV2021★ 8 cited

Scale-Aware Network with Regional and Semantic Attentions for Crowd Counting under Cluttered Background

Qiaosi Yi, Yunxing Liu, Aiwen Jiang +3

Crowd counting is an important task that shown great application value in public safety-related fields, which has attracted increasing attention in recent years. In the current res…

cs.CV2018★ 14 cited

Progressive Feature Fusion Network for Realistic Image Dehazing

Kangfu Mei, Aiwen Jiang, Juncheng Li +1

Single image dehazing is a challenging ill-posed restoration problem. Various prior-based and learning-based methods have been proposed. Most of them follow a classic atmospheric s…

cs.CV2018★ 5 cited

An Effective Single-Image Super-Resolution Model Using Squeeze-and-Excitation Networks

Kangfu Mei, Aiwen Jiang, Juncheng Li +2

Recent works on single-image super-resolution are concentrated on improving performance through enhancing spatial encoding between convolutional layers. In this paper, we focus on…

cs.CL2017★ 3 cited

An entity-driven recursive neural network model for chinese discourse coherence modeling

Fan Xu, Shujing Du, Maoxi Li +1

Chinese discourse coherence modeling remains a challenge taskin Natural Language Processing field.Existing approaches mostlyfocus on the need for feature engineering, whichadoptthe…

cs.CL2017★ 1 cited

Sentence-level dialects identification in the greater China region

Fan Xu, Mingwen Wang, Maoxi Li

Identifying the different varieties of the same language is more challenging than unrelated languages identification. In this paper, we propose an approach to discriminate language…

cs.IR2015★ 1 cited

Learning Discriminative Representations for Semantic Cross Media Retrieval

Aiwen Jiang, Hanxi Li, Yi Li +1

Heterogeneous gap among different modalities emerges as one of the critical issues in modern AI problems. Unlike traditional uni-modal cases, where raw features are extracted and d…