A5101197435- Human Pose and Action Recognition
- Theoretical and Computational Physics
- Advanced Vision and Imaging
- Catalytic Processes in Materials Science
- Neural Networks and Applications
- Video Surveillance and Tracking Methods
- Catalysis and Oxidation Reactions
- Spectroscopy and Chemometric Analyses
- Water Quality Monitoring and Analysis
- Forest, Soil, and Plant Ecology in China
- Collaboration in agile enterprises
- Neonatal Health and Biochemistry
- Catalysts for Methane Reforming
- Human Motion and Animation
- Plant tissue culture and regeneration
- Seed Germination and Physiology
- Neonatal and fetal brain pathology
- Evaluation and Optimization Models
- Catalysis and Hydrodesulfurization Studies
- Carbon Dioxide Capture Technologies
- Complex Network Analysis Techniques
- Outsourcing and Supply Chain Management
- Turfgrass Adaptation and Management
- Cytomegalovirus and herpesvirus research
- Industrial Technology and Control Systems
Xiamen University
2023-2024
ShanghaiTech University
2023
South China Agricultural University
2008
Fourth Affiliated Hospital of Guangxi Medical University
2008
Jiangsu University of Technology
2005
Beijing Institute of Petrochemical Technology
1997-2000
We present SLOPER4D, a novel scene-aware dataset collected in large urban environments to facilitate the research of global human pose estimation (GHPE) with human-scene interaction wild. Employing head-mounted device integrated LiDAR and camera, we record 12 subjects' activities over 10 diverse scenes from an egocentric view. Frame-wise annotations for 2D key points, 3D parameters, translations are provided, together reconstructed scene point clouds. To obtain accurate ground truth such...
We introduce HiSC4D, a novel Human-centered interaction and 4D Scene Capture method, aimed at accurately efficiently creating dynamic digital world, containing large-scale indoor-outdoor scenes, diverse human motions, rich human-human interactions, human-environment interactions. By utilizing body-mounted IMUs head-mounted LiDAR, HiSC4D can capture egocentric motions in unconstrained space without the need for external devices pre-built maps. This affords great flexibility accessibility...
We present SLOPER4D, a novel scene-aware dataset collected in large urban environments to facilitate the research of global human pose estimation (GHPE) with human-scene interaction wild. Employing head-mounted device integrated LiDAR and camera, we record 12 subjects' activities over 10 diverse scenes from an egocentric view. Frame-wise annotations for 2D key points, 3D parameters, translations are provided, together reconstructed scene point clouds. To obtain accurate ground truth such...
The chemical adsorption behavior of three adsorbates(methanol, n-butylamine and hydrogen gas)on Ni-W/F-Al2O3-SiO2 catalyst supported Ni have been investigated. roughness fractal dimension(Dr)and the chemisorption dimension(Dc)of two catalysts were estimated based on geometry consideration. difference between Dc Dr was used to characterize heteorgeneity active sites surface. results showed that heterogeneity acid Ni-W/F-Al2O3 SiO2 very great decreased with increase impregnation time during...