A5023881516- Face recognition and analysis
- Biometric Identification and Security
- Privacy-Preserving Technologies in Data
- Advanced Image Processing Techniques
- Advanced Steganography and Watermarking Techniques
- Insect and Pesticide Research
- Insect-Plant Interactions and Control
- Digital Media Forensic Detection
- Video Surveillance and Tracking Methods
- Plant Physiology and Cultivation Studies
- Agricultural Practices and Plant Genetics
- Chaos-based Image/Signal Encryption
- Postharvest Quality and Shelf Life Management
- Plant and animal studies
Nanjing University of Aeronautics and Astronautics
2024
Fujian Academy of Agricultural Sciences
2015
Laboratoire Physiologie Cellulaire & Végétale
2015
With the widespread application of computer vision, scenarios in terms visual privacy have become increasingly diverse and meanwhile numerous studies been conducted to address concerns these scenarios. However, are individually tailored for specific scenarios, making their layouts challenging be drawn upon easily. When encountering a new scenario, it takes significant additional efforts redesign scheme due low referability previous works. To tackle this issue, we explore commonalities among...
Journal Article Competitive and Predacious Interactions Among Three Phytoseiid Species Under Experimental Conditions (Acari: Phytoseiidae) Get access J. Ji, Ji 1 Plant Protection Institute, Fujian Academy of Agricultural Sciences, Fuzhou 350013, Fujian, China ( jj124421@sina.com ; xuan7616@sina.com yutsat@res.agr.hokudai.ac.jp ), Search for other works by this author on: Oxford Academic PubMed Google Scholar Y.-X. Zhang, Zhang Y. Saito, Saito 3 2 Research Faculty Agriculture, Hokkaido...
While large-scale face datasets have advanced deep learning-based analysis, they also raise privacy concerns due to the sensitive personal information contain. Recent schemes implemented differential protect datasets. However, these generally treat each image as a separate database, which does not fully meet core requirements of privacy. In this paper, we propose semantic-level protection scheme that applies entire dataset. Unlike pixel-level approaches, our guarantees semantic in faces is...