53 citations
- University of Chinese Academy of SciencesCN6 papers
- Chinese Academy of SciencesCN5 papers
- Huawei Technologies (China)CN5 papers
- Institute of Computing TechnologyCN4 papers
- Peking UniversityCN3 papers
- Peng Cheng LaboratoryCN3 papers
- Australian National UniversityAU1 paper
- City University of Hong KongHK1 paper
- Harbin Institute of TechnologyCN1 paper
- Institute of Psychology, Chinese Academy of SciencesCN1 paper
- Johns Hopkins UniversityUS1 paper
- Macau University of Science and TechnologyMO1 paper
10 papers · 1 filter
UTDesign: A Unified Framework for Stylized Text Editing and Generation in Graphic Design Images
Yiming Zhao, Yuanpeng Gao, Yuxuan Luo +4
AI-assisted graphic design has emerged as a powerful tool for automating the creation and editing of design elements such as posters, banners, and advertisements. While diffusion-b…
GARNet: Global-Aware Multi-View 3D Reconstruction Network and the Cost-Performance Tradeoff
Zhenwei Zhu, Liying Yang, Xuxin Lin +4
Deep learning technology has made great progress in multi-view 3D reconstruction tasks. At present, most mainstream solutions establish the mapping between views and shape of an ob…
Modeling Temporal Concept Receptive Field Dynamically for Untrimmed Video Analysis
Zhaobo Qi, Shuhui Wang, Chi Su +3
Event analysis in untrimmed videos has attracted increasing attention due to the application of cutting-edge techniques such as CNN. As a well studied property for CNN-based models…
Self-Regulated Learning for Egocentric Video Activity Anticipation
Zhaobo Qi, Shuhui Wang, Chi Su +3
Future activity anticipation is a challenging problem in egocentric vision. As a standard future activity anticipation paradigm, recursive sequence prediction suffers from the accu…
Greedy Gradient Ensemble for Robust Visual Question Answering
Xinzhe Han, Shuhui Wang, Chi Su +2
Language bias is a critical issue in Visual Question Answering (VQA), where models often exploit dataset biases for the final decision without considering the image information. As…
Label Decoupling Framework for Salient Object Detection
Jun Wei, Shuhui Wang, Zhe Wu +3
To get more accurate saliency maps, recent methods mainly focus on aggregating multi-level features from fully convolutional network (FCN) and introducing edge information as auxil…