no code implementations • ACL 2022 • Chenchen Xu, Dongxu Li, Hongdong Li, Hanna Suominen, Ben Swift
A multi-language dictionary is a fundamental tool for language learning, allowing the learner to look up unfamiliar words.
no code implementations • CVPR 2023 • Chenchen Xu, Min Zhou, Tiezheng Ge, Yuning Jiang, Weiwei Xu
This paper focuses on using the GAN-based model conditioned on image contents to generate advertising poster graphic layouts, which requires an advertising poster layout dataset with paired product images and graphic layouts.
no code implementations • ICCV 2023 • Peixia Li, Pulak Purkait, Thalaiyasingam Ajanthan, Majid Abdolshah, Ravi Garg, Hisham Husain, Chenchen Xu, Stephen Gould, Wanli Ouyang, Anton Van Den Hengel
Each learning group consists of a teacher network, a student network and a novel filter module.
no code implementations • 30 Apr 2022 • Min Zhou, Chenchen Xu, Ye Ma, Tiezheng Ge, Yuning Jiang, Weiwei Xu
Through both quantitative and qualitative evaluations, we demonstrate that the proposed model can synthesize high-quality graphic layouts according to image compositions.
1 code implementation • 17 Dec 2021 • Dongxu Li, Chenchen Xu, Liu Liu, Yiran Zhong, Rong Wang, Lars Petersson, Hongdong Li
This work studies the task of glossification, of which the aim is to em transcribe natural spoken language sentences for the Deaf (hard-of-hearing) community to ordered sign language glosses.
no code implementations • 16 Sep 2021 • Qiongkai Xu, Christian Walder, Chenchen Xu
In this paper, we first raise the challenge of evaluating the performance of both humans and models with respect to an oracle which is unobserved.
no code implementations • 15 Sep 2021 • Zimin Wan, Chenchen Xu, Hanna Suominen
The Bidirectional Encoder Representations from Transformers (BERT) model has achieved the state-of-the-art performance for many natural language processing (NLP) tasks.
no code implementations • 23 Aug 2021 • Haozhan Sun, Chenchen Xu, Hanna Suominen
Therefore we recommend emphasizing other features, like textual knowledge, for researchers and practitioners as a cost-effective source for increasing the sequence labeling performance.
no code implementations • CVPR 2021 • Dongxu Li, Chenchen Xu, Kaihao Zhang, Xin Yu, Yiran Zhong, Wenqi Ren, Hanna Suominen, Hongdong Li
Video deblurring models exploit consecutive frames to remove blurs from camera shakes and object motions.
2 code implementations • NeurIPS 2020 • Dongxu Li, Chenchen Xu, Xin Yu, Kaihao Zhang, Ben Swift, Hanna Suominen, Hongdong Li
Sign language translation (SLT) aims to interpret sign video sequences into text-based natural language sentences.
no code implementations • CVPR 2020 • Dongxu Li, Xin Yu, Chenchen Xu, Lars Petersson, Hongdong Li
To this end, we extract news signs using a base WSLR model, and then design a classifier jointly trained on news and isolated signs to coarsely align these two domain features.
no code implementations • WS 2019 • Qiongkai Xu, Lizhen Qu, Chenchen Xu, Ran Cui
Biased decisions made by automatic systems have led to growing concerns in research communities.
1 code implementation • IJCNLP 2019 • Qiongkai Xu, Chenchen Xu, Lizhen Qu
In this paper, we describe ALTER, an auxiliary text rewriting tool that facilitates the rewriting process for natural language generation tasks, such as paraphrasing, text simplification, fairness-aware text rewriting, and text style transfer.
no code implementations • ACL 2019 • Chenchen Xu, Inger Mewburn, Will J Grant, Hanna Suominen
Employers{'} low awareness and interest in attracting PhD graduates means that the term {``}PhD{''} is rarely used as a keyword in job advertisements; 80{\%} of companies looking to employ similar researchers do not specifically ask for a PhD qualification.
no code implementations • 24 Jan 2017 • Qiongkai Xu, Qing Wang, Chenchen Xu, Lizhen Qu
In this paper, we propose a graph-based recursive neural network framework for collective vertex classification.