A5101683540- Photoacoustic and Ultrasonic Imaging
- Advanced Optical Sensing Technologies
- Emotion and Mood Recognition
- Advanced Fluorescence Microscopy Techniques
- Orbital Angular Momentum in Optics
- Digital Holography and Microscopy
- Advanced Neural Network Applications
- Robotics and Sensor-Based Localization
- Plant-based Medicinal Research
- Advanced Image and Video Retrieval Techniques
- Face recognition and analysis
- Advanced X-ray Imaging Techniques
- Advanced Computing and Algorithms
- Random lasers and scattering media
- Human Pose and Action Recognition
- Drug Transport and Resistance Mechanisms
- Advanced Drug Delivery Systems
- Chromatography in Natural Products
- Medicinal Plants and Bioactive Compounds
- Advanced Fiber Optic Sensors
- Semiconductor Lasers and Optical Devices
- Bioactive natural compounds
- Face Recognition and Perception
- Nanoparticle-Based Drug Delivery
- Adaptive optics and wavefront sensing
Binghamton University
2023-2024
Ministry of Education of the People's Republic of China
2023-2024
Beijing Institute of Technology
2022-2024
Ministry of Industry and Information Technology
2023-2024
Nanjing University of Posts and Telecommunications
2024
Zhengzhou University
2009-2020
China Pharmaceutical University
2005
Lidar, with its advantages of high measurement accuracy, fine angular resolution, and strong anti-interference capability, plays a pivotal role in the field scene depth information acquisition. Traditional approaches to achieving lateral spatial resolution imaging include raster scanning array detectors. The former necessitates frequent acquire maps, resulting time consumption instability. latter encounters challenges such as dark count rates, pixel crosstalk, excessive costs for obtaining...
Spatial patterns are a significant characteristic of lasers. The knowledge spatial structured laser beams is rapidly expanding, along with the progress studies on physics and technology. Particularly in last decades, owing to in-depth attention light multiple degrees freedom, research spatiotemporal structures has been promptly developed. Such have hatched various breakthroughs many fields, including imaging, microscopy, metrology, communication, optical trapping, quantum information...
This paper demonstrates the effectiveness of a diversification mechanism for building more robust multi-attention system in generic facial action analysis. While previous (e.g., visual attention and self-attention) research on expression recognition (FER) Action Unit (AU) detection have been thoroughly studied to focus "external diversification", where branches localize different areas, we delve into realm "internal diversification" explore impact diverse patterns within same Region Interest...
Recent studies on dynamic facial action unit (AU) detection have extensively relied dense annotations. However, manual annotations are difficult, time-consuming, and costly. The canonical semi-supervised learning (SSL) methods ignore the consistency, extensibility, adaptability of structural knowledge across spatial-temporal domains. Furthermore, reliance offline design excessive parameters hinder efficiency process. To remedy these issues, we propose a lightweight online framework,...
Diverse visual stimuli can evoke various human affective states, which are usually manifested in an individual's muscular actions and facial expressions. In lab-controlled emotion datasets, such a critical component (i.e., stimulus) was commonly designed limited way, making researchers incapable of generalizing the universal correlation causation stimulus-reaction as well predicting possible emotions from context, timing, relation. this paper, we collected large-scale spontaneous behavior...
Scanless three-dimensional (3D) imaging technology has received extensive attention in recent years due to its rapid detection and system reliability. Compressed sensing provides a new solution for the realization of scan-free 3D imaging. In this paper, method based on dual-frequency laser phase ranging compressed is introduced realized. Using combination theory, two-dimensional range reconstruction from time-domain light intensity signal collected by single-point detector performed. Aiming...
Single-pixel 3D imaging is of great potential to the Lidar system. Combining high precision ranging with compressed sensing (CS) enables acquisition high-resolution and accurate depth maps under non-scanning condition. In this letter, we present that a phase system can be combined CS algorithm perfectly for real through only twice reconstructions, along accuracy fast measurement. A structured detection architecture based on amplitude modulated continuous-wave laser illumination single-pixel...
Single-pixel 3D imaging is of great potential to the Lidar system. Combining high precision ranging with compressed sensing (CS) enables acquisition high-resolution and accurate depth maps under non-scanning condition. In this letter, we present that a phase system can be combined CS algorithm perfectly for real through only twice reconstructions, along accuracy fast measurement. A structured detection architecture based on amplitude modulated continuous-wave laser illumination single-pixel...
Recent years have witnessed the remarkable progress of 3D multi-modality object detection methods based on Bird's-Eye-View (BEV) perspective. However, most them overlook complementary interaction and guidance between LiDAR camera. In this work, we propose a novel objection method, named GAFusion, with LiDAR-guided global adaptive fusion. Specifically, introduce sparse depth (SDG) occupancy (LOG) to generate features sufficient information. following, fusion transformer (LGAFT) is developed...
Analyzing or probing a complex‐structured light field with simple model to obtain its mode composition sequence and phase delays among eigenmodes is challenging. Currently, there are numerous methods for calculating the weight analyzing amplitude of structured eigenmodes, particularly on orbital angular momentum field. However, complete spectrum decomposition including eigenmodes’ indexes intensity coefficients relatively still needs comprehensive solution. In this work, diffractive optical...
Single-pixel three-dimensional (3D) imaging is of great potential to the light detection and ranging (Lidar) system. Combining high-precision with compressed sensing (CS) enables acquisition high-resolution accurate depth maps under non-scanning conditions. In this study, we present that a phase system can be combined perfectly CS algorithm for real 3D through only two reconstructions, along high accuracy fast measurement. A structured architecture based on amplitude-modulated...
A liquid chromatographic-mass spectrometric (LC-MS) method was developed and validated for determination of guanfu base I (GFI), the pharmacokinetics GFI in Sprague-Dawley rats examined. The linear 0.05—20 μg/ml concentration range (r=0.9994). recovery more than 80%. intraday interday precision, expressed as relative standard deviation (RSD), generally good (<15%). After i.v. dosing, plasma declined a bi-phasic manner with terminal elimination half-life 2.49 h. total clearance values 1.46...
A coherent dual-frequency lidar architecture for long-distance high-precision ranging and velocity measurement is proposed, using the method of optical heterodyne detection, which can avoid complex coherence configurations. The system uses a laser with beat frequency 200MHz as light source, performs through principles phase Doppler velocimetry. experimental verification shows that operating distance reaches 3200m, resolution less than 0.5m, speed accuracy range ±0.25m/s. results show realize...
The dynamic spatial control of light fields, including shaping and turbulence simulation, is essential for applications such as free-space optical communication. We propose a method generating rapidly switching structured beams with coherently superposed modes optional levels using digital micromirror device (DMD). composite holograms encoded by Lee Superpixel methods are quantitatively analyzed in terms fidelity efficiency both can generate under high fidelity. loaded intensity verified...