540 citations
- Chinese Academy of SciencesCN14 papers
- Institute of Computing TechnologyCN12 papers
- University of Chinese Academy of SciencesCN9 papers
- Tsinghua UniversityCN6 papers
- Shanghai Jiao Tong UniversityCN5 papers
- City University of Hong KongHK3 papers
- Fudan UniversityCN3 papers
- Hefei University of TechnologyCN3 papers
- South China University of TechnologyCN3 papers
- University of California, Los AngelesUS3 papers
- Zhejiang UniversityCN3 papers
- Beijing Jiaotong UniversityCN2 papers
5 papers · 1 filter
ZS-SRT: An Efficient Zero-Shot Super-Resolution Training Method for Neural Radiance Fields
Xiang Feng, Yongbo He, Yubo Wang +6
Neural Radiance Fields (NeRF) have achieved great success in the task of synthesizing novel views that preserve the same resolution as the training views. However, it is challengin…
Masked and Permuted Implicit Context Learning for Scene Text Recognition
Xiaomeng Yang, Zhi Qiao, Jin Wei +2
Scene Text Recognition (STR) is difficult because of the variations in text styles, shapes, and backgrounds. Though the integration of linguistic information enhances models' perfo…
Multi-task Paired Masking with Alignment Modeling for Medical Vision-Language Pre-training
Ke Zhang, Yan Yang, Jun Yu +4
In recent years, the growing demand for medical imaging diagnosis has placed a significant burden on radiologists. As a solution, Medical Vision-Language Pre-training (Med-VLP) met…
Search to Capture Long-range Dependency with Stacking GNNs for Graph Classification
Lanning Wei, Zhiqiang He, Huan Zhao +1
In recent years, Graph Neural Networks (GNNs) have been popular in the graph classification task. Currently, shallow GNNs are more common due to the well-known over-smoothing probl…
Side-by-Side vs Face-to-Face: Evaluating Colocated Collaboration via a Transparent Wall-sized Display
Jiangtao Gong, Jingjing Sun, Mengdi Chu +7
Traditional wall-sized displays mostly only support side-by-side co-located collaboration, while transparent displays naturally support face-to-face interaction. Many previous work…