4 citations · 10 across the 8 of their papers we have counts for
8 papers
WYTIWYR: A User Intent-Aware Framework with Multi-modal Inputs for Visualization Retrieval
Shishi Xiao, Yihan Hou, Cheng Jin +1
Retrieving charts from a large corpus is a fundamental task that can benefit numerous applications such as visualization recommendations.The retrieved results are expected to confo…
DDT: Dual-branch Deformable Transformer for Image Denoising
Kangliang Liu, Xiangcheng Du, Sijie Liu +3
Transformer is beneficial for image denoising tasks since it can model long-range dependencies to overcome the limitations presented by inductive convolutional biases. However, dir…
Aggregated Text Transformer for Scene Text Detection
Zhao Zhou, Xiangcheng Du, Yingbin Zheng +1
This paper explores the multi-scale aggregation strategy for scene text detection in natural images. We present the Aggregated Text TRansformer(ATTR), which is designed to represen…
Progressive Scene Text Erasing with Self-Supervision
Xiangcheng Du, Zhao Zhou, Yingbin Zheng +3
Scene text erasing seeks to erase text contents from scene images and current state-of-the-art text erasing models are trained on large-scale synthetic data. Although data syntheti…
SRPCN: Structure Retrieval based Point Completion Network
Kaiyi Zhang, Ximing Yang, Yuan Wu +1
Given partial objects and some complete ones as references, point cloud completion aims to recover authentic shapes. However, existing methods pay little attention to general shape…
Attention-based Transformation from Latent Features to Point Clouds
Kaiyi Zhang, Ximing Yang, Yuan Wu +1
In point cloud generation and completion, previous methods for transforming latent features to point clouds are generally based on fully connected layers (FC-based) or folding oper…
Generate Point Clouds with Multiscale Details from Graph-Represented Structures
Ximing Yang, Zhibo Zhang, Zhengfu He +1
As details are missing in most representations of structures, the lack of controllability to more information is one of the major weaknesses in structure-based controllable point c…
Document Layout Analysis with Aesthetic-Guided Image Augmentation
Tianlong Ma, Xingjiao Wu, Xin Li +4
Document layout analysis (DLA) plays an important role in information extraction and document understanding. At present, document layout analysis has reached a milestone achievemen…