A5044377318- Advanced Image Processing Techniques
- Image and Signal Denoising Methods
- Advanced Sensor and Energy Harvesting Materials
- Electronic and Structural Properties of Oxides
- Image Processing Techniques and Applications
- Ferroelectric and Negative Capacitance Devices
- Ferroelectric and Piezoelectric Materials
- Face recognition and analysis
- Carbon Nanotubes in Composites
- Advanced Memory and Neural Computing
- Neuroscience and Neural Engineering
- Advanced Vision and Imaging
- Transition Metal Oxide Nanomaterials
Beijing Institute of Technology
2022-2023
Chulalongkorn University
2023
Beijing Haidian Hospital
2022
Intelligent materials with adaptive response to external stimulation lay foundation integrate functional systems at the material level. Here, experimental observation and numerical simulation, we report a delicate nano-electro-mechanical-opto-system naturally embedded in individual multiwall tungsten disulfide nanotubes, which generates distinct form of in-plane van der Waals sliding ferroelectricity from unique combination superlubricity piezoelectricity. The enables programmable...
Flexible electronics have enormous potential for applications that are not achievable in standard electronics. In particular, important technological advances been made terms of their performance characteristics and range applications, ranging from medical care, packaging, lighting signage, consumer electronics, alternative energy. this study, we develop a novel method fabricating flexible conductive carbon nanotube (CNT) films on various substrates. The fabricated CNT exhibited satisfactory...
Abstract The dimensional limit of ferroelectricity has been long explored. critical contravention is that the downscaling leads to a loss polarization. This work demonstrates zero-dimensional by atomic sliding at restrained van der Waals interface crossed tungsten disufilde nanotubes. developed ferroelectric diode in this presents not only non-volatile resistive memory, but also programmable photovoltaic effect visible band. Benefiting from intrinsic limitation, allows electrical operation...
Nowadays, Face Super-Resolution (FSR) models utilize the fusion approach, which combines attention technique with super-resolution network. The approach has been proposed and solves problem of FSR. Facial attributes have effectively used to guide low-level information face perform robust image restoration. Iterative techniques appraised value facial landmarks boost reconstruction capability Nevertheless, network parameters in FSR are high, while learning rate is still low. This paper...
Recent Face Super-resolution (FSR) based on iterative collaboration between facial image recovery network and landmark estimation has succeeded in super-resolving images. However, the existing noise coarse features at low-level feature extraction leads to inaccurate priors such as landmarks component maps, consequently degrading super-resolved face a large scale. This paper proposes, Non-local technique for deep attentive super-resolution (NLDA). A module been designed before residual...