A5053607682- Advanced Neural Network Applications
- Anomaly Detection Techniques and Applications
- Remote Sensing and LiDAR Applications
- Autonomous Vehicle Technology and Safety
- Video Surveillance and Tracking Methods
- Computer Graphics and Visualization Techniques
- Adversarial Robustness in Machine Learning
- Industrial Vision Systems and Defect Detection
- Data-Driven Disease Surveillance
- Infrastructure Maintenance and Monitoring
- Remote Sensing in Agriculture
- Face recognition and analysis
- Smart Agriculture and AI
- COVID-19 diagnosis using AI
- Digital Media Forensic Detection
- Automated Road and Building Extraction
- CCD and CMOS Imaging Sensors
- Advanced Control Systems Design
- Fault Detection and Control Systems
- Advanced Sensor and Control Systems
- Fire Detection and Safety Systems
- Advanced Image and Video Retrieval Techniques
- Vehicle License Plate Recognition
- Artificial Immune Systems Applications
- Hand Gesture Recognition Systems
Xinjiang University
2022-2024
Beijing Chaoyang Emergency Medical Center
2024
3D Gaussian Splatting (3D GS) has gained popularity due to its faster rendering speed and high-quality novel view synthesis. Some researchers have explored using GS for reconstructing driving scenes. However, these methods often rely on various types of data, such as depth maps, bounding boxes, trajectories moving objects. Additionally, the lack annotations synthesized images limits their direct application in downstream tasks. To address issues, we propose EGSRAL, a GS-based method that...
Camera surveillance is widely used in residential areas, highways, schools and other public places. The monitoring scanning of sudden abnormal events depend on humans. Human anomaly not only consumes a lot manpower time but also has large error detection. Video detection based AE (Auto-Encoder) currently the dominant research approach. model highly symmetrical network structure encoding decoding stages. trained by learning standard video sequences, anomalous are later determined terms...
3D Gaussian Splatting (3D GS) has gained popularity due to its faster rendering speed and high-quality novel view synthesis. Some researchers have explored using GS for reconstructing driving scenes. However, these methods often rely on various data types, such as depth maps, boxes, trajectories of moving objects. Additionally, the lack annotations synthesized images limits their direct application in downstream tasks. To address issues, we propose EGSRAL, a GS-based method that relies...
Autonomous driving systems require many images for analyzing the surrounding environment. However, there is fewer data protection private information among these captured images, such as pedestrian faces or vehicle license plates, which has become a significant issue. In this paper, in response to call security laws and regulations based on advantages of large Field View(FoV) fisheye camera, we build first Autopilot Desensitization Dataset, called ADD, formulate deep-learning-based image...
Image abnormality detection is a hot research topic in the field of data mining, and it has great application value fields industrial appearance defect medical image analysis. To address problem poor performance anomaly models caused by incomplete feature extraction, we propose feature-adaptive model. FAIAD first trains initial extraction model pre-training Then introduce adaptation methods to improve performance. The last step calculate accuracy detection. In order explore effects different...
Image abnormality detection is a hot research topic in the field of data mining, and it has great application value fields industrial appearance defect medical image analysis. To address problem poor performance anomaly models caused by incomplete feature extraction, we propose feature-adaptive model. FAIAD first trains initial extraction model pre-training Then introduce adaptation methods to improve performance. The last step calculate accuracy detection. In order explore effects different...
Abstract Image abnormality detection is a hot research topic in the field of data mining, and it has great application value fields industrial appearance defect medical image analysis. To address problem poor performance anomaly models caused by incomplete feature extraction, we propose feature-adaptive model. FAIAD first trains initial extraction model pre-training Then introduce adaptation methods to improve performance. The last step calculate accuracy detection. In order explore effects...