79 citations · 119 across the 7 of their papers we have counts for
7 papers
Unsupervised Domain Adaption with Pixel-level Discriminator for Image-aware Layout Generation
Chenchen Xu, Min Zhou, Tiezheng Ge +2
Layout is essential for graphic design and poster generation. Recently, applying deep learning models to generate layouts has attracted increasing attention. This paper focuses on…
Composition-aware Graphic Layout GAN for Visual-textual Presentation Designs
Min Zhou, Chenchen Xu, Ye Ma +3
In this paper, we study the graphic layout generation problem of producing high-quality visual-textual presentation designs for given images. We note that image compositions, which…
ARVo: Learning All-Range Volumetric Correspondence for Video Deblurring
Dongxu Li, Chenchen Xu, Kaihao Zhang +5
Video deblurring models exploit consecutive frames to remove blurs from camera shakes and object motions. In order to utilize neighboring sharp patches, typical methods rely mainly…
TSPNet: Hierarchical Feature Learning via Temporal Semantic Pyramid for Sign Language Translation
Dongxu Li, Chenchen Xu, Xin Yu +4
Sign language translation (SLT) aims to interpret sign video sequences into text-based natural language sentences. Sign videos consist of continuous sequences of sign gestures with…
Transferring Cross-domain Knowledge for Video Sign Language Recognition
Dongxu Li, Xin Yu, Chenchen Xu +2
Word-level sign language recognition (WSLR) is a fundamental task in sign language interpretation. It requires models to recognize isolated sign words from videos. However, annotat…
ALTER: Auxiliary Text Rewriting Tool for Natural Language Generation
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 simplifi…