A5100387491- Nonlinear Optical Materials Research
- Advanced Chemical Physics Studies
- Emotion and Mood Recognition
- Image Retrieval and Classification Techniques
- User Authentication and Security Systems
- Photonic and Optical Devices
- Electrochemical Analysis and Applications
- Speech and Audio Processing
- Electrochemical sensors and biosensors
- Face recognition and analysis
- AI in cancer detection
- Ionic liquids properties and applications
- Nonlinear Photonic Systems
- Advanced Image and Video Retrieval Techniques
- Mechanical and Optical Resonators
- Spectroscopy and Quantum Chemical Studies
- Remote Sensing and Land Use
- Molecular Spectroscopy and Structure
- Traditional Chinese Medicine Studies
- Digital Media Forensic Detection
Nanjing University of Science and Technology
2025
Wuhan National Laboratory for Optoelectronics
2024
Huazhong University of Science and Technology
2024
Nankai University
2015-2022
Zaozhuang University
2017
Despite the impressive performance of current vision-based facial action unit (AU) detection approaches, they are heavily susceptible to variations across different domains and cross-domain AU methods under-explored. In response this challenge, we propose a decoupled doubly contrastive adaptation (D2CA) approach learn purified representation that is semantically aligned for source target domains. Specifically, decompose latent representations into AU-relevant AU-irrelevant components, with...
Abstract Refraction is a basic beam bending effect at two media’s interface. While traditional studies focus on stationary boundaries, moving boundaries or potentials could enable new laws of refractions. Meanwhile, discretization plays pivotal role in refraction owing to Galilean invariance breaking principle discrete-wave mechanics, making highly moving-speed dependent. Here, by harnessing synthetic temporal lattice fiber-loop circuit, we observe discrete time gauge-potential barrier. We...
Buckingham expansion is important for understanding molecular multipoles and (hyper)polarizabilities.In this study, we give a complete derivation of in the traced form using successive Taylor series.Based on such derivation, general proposed, from which numerical calculations with finite field method high accuracy can be achieved.The transformations multipole-multipole polarizabilities to corresponding traceless counterparts are realized an auxiliary electric gradient.The applications study...
In this study, B ultrasound images of 124 benign and malignant patients were randomly selected as the study objects. The liver treated by enhanced de-noising. By constructing gray level co-occurrence matrix which reflects information each angle, Principal Component Analysis 22 texture features extracted combined with LM neural network for diagnosis classification. Experimental results show that method is a rapid effective diagnostic imaging, provides quantitative basis clinical diseases.
Abstract Micro-expressions are spontaneous, rapid and subtle facial movements that can hardly be suppressed or fabricated. Micro-expression recognition (MER) is one of the most challenging topics in affective computing. It aims to recognize which quite difficult for humans perceive a fleeting period. Recently, many deep learning-based MER methods have been developed. However, how effectively capture temporal variations robust still perplexes us. We propose counterfactual discriminative...
We propose a unified approach to fit simultaneously set of atomic partial charges and polarizabilities the polarizable model against ab initio electrostatic potential (ESP) polarizability. The is represented with interactive dipoles distance-dependent attenuation. For employed in this study, internal electric field on polarization sites fully turned on, thus allows self-induced dipoles, which persist even for an isolated molecule/ion. By such treatment, contribution ESP stems not only from...