- Advanced Image and Video Retrieval Techniques
- Image Retrieval and Classification Techniques
- Video Analysis and Summarization
- Multimodal Machine Learning Applications
- Anomaly Detection Techniques and Applications
- Handwritten Text Recognition Techniques
- Human Pose and Action Recognition
- 3D Shape Modeling and Analysis
- Advanced Image Processing Techniques
- Generative Adversarial Networks and Image Synthesis
- Phytochemistry and biological activity of medicinal plants
- Natural Language Processing Techniques
- Topic Modeling
- Image Enhancement Techniques
- Pharmacological Effects of Natural Compounds
- Computer Graphics and Visualization Techniques
- 3D Surveying and Cultural Heritage
- Visual Attention and Saliency Detection
- Medical Image Segmentation Techniques
- Face and Expression Recognition
- Advanced Neural Network Applications
- Advanced Image Fusion Techniques
- Digital Media Forensic Detection
- Color Science and Applications
- Image and Signal Denoising Methods
Fudan University
2015-2024
Hangzhou Women’s Hospital
2024
Southwest Petroleum University
2022-2024
Tsinghua University
2022-2024
Chongqing Medical and Pharmaceutical College
2024
SGIDI Engineering Consulting (China)
2024
Xuzhou Medical College
2023
Xi’an Jiaotong-Liverpool University
2023
Shanghai Jiao Tong University
2009-2023
Peking University People's Hospital
2022-2023
Yolk-shell microspheres with magnetic Fe3O4 cores and hierarchical copper silicate shells have been successfully synthesized by combining the versatile sol-gel process hydrothermal reaction. Various yolk-shell different core size shell thickness can be readily varying experimental conditions. Compared to pure Fe3O4, as-synthesized exhibit significantly enhanced microwave absorption properties in terms of both maximum reflection loss value bandwidth. The these reach -23.5 dB at 7 GHz a 2 mm,...
Double-shelled yolk–shell microspheres with Fe3O4 cores and SnO2 double shells have been successfully synthesized by combining the versatile sol–gel process hydrothermal shell-by-shell deposition method. The as-synthesized double-shelled Fe3O4@SnO2 uniform size, unique morphology, well-defined shells, favorable magnetization, large specific surface area, high porosity exhibit significantly enhanced microwave absorption properties in terms of both maximum reflection loss value bandwidth....
The hepatotoxicity of some Chinese herbs has been a cause for concern in recent years. However, herbs, such as rhubarb, have documented having both therapeutic and toxic effects on the liver, leading to complex problem distinguishing benefits from risks using this herb. To comparatively analyze dose-response relationship between rhubarb hepatic health, we administrated total extract (RE) normal carbon tetrachloride (CCl(4))-treated rats 12 weeks at 4 dosage levels (2.00, 5.40, 14.69 40.00...
This paper reviews the NTIRE 2023 challenge on image denoising (σ = 50) with a focus proposed solutions and results. The aim is to obtain network design capable produce high-quality results best performance measured by PSNR for denoising. Independent additive white Gaussian noise (AWGN) assumed level 50. had 225 registered participants, 16 teams made valid submissions. They gauge state-of-the-art
Vanadium dioxide (VO2) exhibits an insulator-to-metal transition accompanied by a structural near room temperature. This can be triggered ultrafast laser pulse. Exotic transient states, such as metallic state without transition, were also proposed. These unique characteristics let VO2 have great potential in thermal switchable devices and photonic applications. Although efforts been made, the atomic pathway during photoinduced phase is still not clear. Here, we synthesize freestanding...
AKT (also known as PKB) plays a central role in variety of cellular processes including cell growth, motility and survival both normal tumor cells. The pathway is also instrumental epithelial mesenchymal transitions (EMT) angiogenesis during tumorigenesis. functions cardinal nodal point for transducing extracellular (growth factors insulin, IGF-1 EGF ) intracellular (such mutated/activated receptor tyrosine kinases, PTEN, Ras Src) signals. It positively regulated by phosphatidylinositol...
Visual place recognition is to estimate the geographical location of a given image, which usually addressed by recognizing its similar reference images from database. The are retrieved via similarity search using global descriptor, and local descriptors used re-rank initial candidates. re-ranking can significantly improve accuracy retrieval but comes at high computational cost. To achieve good trade-off between efficiency, we propose an Efficient Transformer for Re-ranking (ETR), utilizing...
Depth uncertainty is a core challenge in 3D human pose estimation, especially when the camera parameters are unknown. Previous methods try to reduce impact of depth by multi-view and/or multi-frame feature fusion utilize more spatial and temporal information. However, they generally lead marginal improvements their performance still cannot match camera-parameter-required methods. The reason that handcrafted schemes fuse features flexibly, e.g., fused separately. Moreover, diverse complicated...
The etiology of gallstones at different anatomical locations may be varied. However, it has not been well studied about the prevalence by and their associated factors in China.We used data set from preventive health screening centers covering all provinces mainland China except for Tibet, a total 10,937,993 adults were included, who received abdominal ultrasonography 2017. We analyzed classified locations, including gallbladder (GB) stones, intrahepatic bile duct (IHD) extrahepatic (EHD)...
Wireless Sensor Networks (WSNs) use distributed nodes for tasks such as environmental monitoring and surveillance. Existing anomaly detection methods fail to fully capture correlations in multi-node, multi-modal time series data, limiting their effectiveness. Additionally, they struggle with small sample scenarios, because do not effectively map features classes. To address these challenges, this paper presents an approach that integrates deep learning metric learning. A framework...