A5083621244- Advanced Neural Network Applications
- Metal-Organic Frameworks: Synthesis and Applications
- Polyoxometalates: Synthesis and Applications
- Advanced Image and Video Retrieval Techniques
- Ga2O3 and related materials
- ZnO doping and properties
- Copper-based nanomaterials and applications
- Advanced Photocatalysis Techniques
- Human Pose and Action Recognition
- Covalent Organic Framework Applications
- Video Surveillance and Tracking Methods
- Advanced Nanomaterials in Catalysis
- Multimodal Machine Learning Applications
Hunan University
2023-2025
Zhejiang Sci-Tech University
2024
Chinese University of Hong Kong
2006
Abstract Core–shell structures, where the “guest” material is encapsulated within a protective shell, integrate advantages of different materials to enhance overall properties composite. Covalent–organic frameworks (COFs) are favorable candidates for composing core–shell structures due their inherent porosity, good activity, excellent stability, and other advantages. In particular, COFs as shells encapsulate functional becoming increasingly popular in fields environmental remediation energy...
Accurate detection and tracking of dynamic objects are critical for enabling skill demonstration effective generalization in robotic learning application scenarios. To further improve the accuracy speed YOLOv8s model object tasks, this paper proposes a method to enhance both precision based on architecture. Specifically, Focused Linear Attention mechanism is introduced into backbone network accuracy, while Ghost module incorporated neck model’s objects. By mapping motion across frames,...
In intelligent human–robot interaction scenarios, rapidly and accurately searching recognizing specific targets is essential for enhancing robot operation navigation capabilities, as well achieving effective collaboration. This paper proposes an improved YOLO-World method with integrated attention mechanism text-guided object detection, aiming to boost visual detection accuracy. The incorporates SPD-Conv modules into the YOLOV8 backbone enhance low-resolution image processing feature...