74 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of Electronic Science and Technology of ChinaCN8 papers
- Tsinghua UniversityCN6 papers
- Chengdu University of Information TechnologyCN4 papers
- Sichuan UniversityCN4 papers
- University of Science and Technology of ChinaCN4 papers
- Central China Normal UniversityCN3 papers
- Guizhou Normal UniversityCN3 papers
- Nanyang Technological UniversitySG3 papers
- Zhejiang LabCN3 papers
- Zhejiang UniversityCN3 papers
- Beijing Normal UniversityCN2 papers
- Chinese Academy of SciencesCN2 papers
5 papers · 1 filter
Cross-modal Full-mode Fine-grained Alignment for Text-to-Image Person Retrieval
Hao Yin, Xin Man, Feiyu Chen +2
Text-to-Image Person Retrieval (TIPR) is a cross-modal matching task designed to identify the person images that best correspond to a given textual description. The key difficulty…
Multi-visual modality micro drone-based structural damage detection
Isaac Osei Agyemanga, Liaoyuan Zeng, Jianwen Chena +2
Accurate detection and resilience of object detectors in structural damage detection are important in ensuring the continuous use of civil infrastructure. However, achieving robust…
RNDiff: Rainfall nowcasting with Condition Diffusion Model
Xudong Ling, Chaorong Li, Fengqing Qin +2
Diffusion models are widely used in image generation because they can generate high-quality and realistic samples. This is in contrast to generative adversarial networks (GANs) and…
LGLG-WPCA: An Effective Texture-based Method for Face Recognition
Chaorong Li, Huang Wei, Huafu Chen
In this paper, we proposed an effective face feature extraction method by Learning Gabor Log-Euclidean Gaussian with Whitening Principal Component Analysis (WPCA), called LGLG-WPCA…
A Novel Face Recognition Method using Nearest Line Projection
Huanguo Zhang, Sha Lv, Wei Li +1
Face recognition is a popular application of pat- tern recognition methods, and it faces challenging problems including illumination, expression, and pose. The most popular way is…