A5064025853- Plasmonic and Surface Plasmon Research
- Optical Wireless Communication Technologies
- Near-Field Optical Microscopy
- Semiconductor Quantum Structures and Devices
- Radiomics and Machine Learning in Medical Imaging
- Robotics and Sensor-Based Localization
- Metamaterials and Metasurfaces Applications
- Advanced Measurement and Detection Methods
- Photonic and Optical Devices
- Quantum optics and atomic interactions
- Image Enhancement Techniques
- Brain Tumor Detection and Classification
- Video Surveillance and Tracking Methods
- Infrared Target Detection Methodologies
- Semiconductor Lasers and Optical Devices
- AI in cancer detection
- Advanced Antenna and Metasurface Technologies
- Fire Detection and Safety Systems
Nanjing University
2024
Shenzhen Technology University
2024
Shenzhen University
2024
University of Colorado Boulder
2019
Optical cavities can enhance and control light-matter interactions. This level of has recently been extended to the nanoscale with single emitter strong coupling even at room temperature using plasmonic nanostructures. However, emitters in static geometries, limit ability tune strength or couple different same cavity. Here, we present tip-enhanced (TESC) a nanocavity formed between scanning antenna tip substrate. By reversibly dynamically addressing quantum dots, observe mode splitting up...
Recent advancements in the unmanned aerial vehicle remote sensing field have highlighted effectiveness of infrared sensors detecting and tracking time-sensitive ground targets, particularly within domain early warning surveillance. However, limitations inherent airborne platforms can lead to irregular imaging inadequate textural features. This study presents a multi-object system specifically designed for weak-textured aimed at enhancing detection accuracy stability. Initially, improvements...
In contrast to conventional grating-based spectrometers, reconstructive spectrometers based on spectrally engineered filtering offer a notable advantage in terms of miniaturization due reduced requirements for dispersive optics and free propagation space. Nevertheless, existing encounter challenges optimizing operational bandwidth, reconstruction fidelity, angular stability concurrently. Here, we introduce compact spectrometer employing dielectric metasurfaces, designed operate across broad...
One of the hardest problems in computer vision is image dehazing. In single picture dehazing job, approaches based on pixel domain mapping and prior knowledge physical models have achieved amazing results. Sadly, most deep algorithms now use limited generalization capabilities, which makes it challenging to apply them data samples with foggy conditions that exhibit a wide range variation. We suggest an Iterative-Refining Diffusion Model built U-Net architecture solve issue. show suggested...