A5077428217- Image Enhancement Techniques
- Infrared Target Detection Methodologies
- Advanced Image Fusion Techniques
- Video Surveillance and Tracking Methods
- Advanced Vision and Imaging
- Asymmetric Hydrogenation and Catalysis
- Advanced Measurement and Detection Methods
- Asymmetric Synthesis and Catalysis
- Catalytic C–H Functionalization Methods
- Anomaly Detection Techniques and Applications
- Research studies in Vietnam
- Advanced Image Processing Techniques
- Evaluation Methods in Various Fields
- Color Science and Applications
- Electrochemical sensors and biosensors
- AI and Big Data Applications
- Cloud Computing and Resource Management
- Environmental and Agricultural Sciences
- Financial Distress and Bankruptcy Prediction
- Artificial Immune Systems Applications
- Imbalanced Data Classification Techniques
- Peer-to-Peer Network Technologies
- Power System Reliability and Maintenance
- Simulation and Modeling Applications
- Power Transformer Diagnostics and Insulation
University of Missouri
2025
Nanjing University
2024
Nanjing University of Aeronautics and Astronautics
2010-2024
Shanghai Civil Aviation College
2020
Sichuan University
2010-2019
Nanjing University of Posts and Telecommunications
2013
State Key Laboratory of Hydraulics and Mountain River Engineering
2010
Huawei Technologies (China)
2010
A palladium-catalyzed asymmetric decarboxylative allylic alkylation of allyl 2,2-diphenylglycinate imines using (S,S)-f-binaphane as a chiral supporting ligand has been developed. This transformation allows for generation and enantioselective allylation nonenolate α-imino (2-azaallyl anions) to afford α-aryl homoallylic imines.
The impact of the steric and electronic factors in both para-substituted benzaldimine 2,2-diarylglycine components on regioselectivity enantioselectivity palladium-catalyzed decarboxylative allylation allyl 2,2-diarylglycinate aryl imines was explored. These studies revealed that using 2,2-di(2-methoxyphenyl)glycine as amino acid linchpin allowed for exclusive synthesis desired homoallylic benzophenone imine regioisomers, independent nature moiety, typically high yields. resulting...
Thermal infrared (TIR) images are not influenced by the illumination variations and can be used in total darkness. With these advantages, TIR technology has a wide application surveillance systems various defense systems. However, there enough for range of because equipment thermal imaging is expensive demands strict conditions. To address this problem, we propose sparse generative model based on pix2pix framework to produce synthetic data from optical RGB images. Considering little texture...
The first nickel-catalyzed asymmetric decarboxylative allylation (DcA) of allyl 2,2-diarylglycinate imines is reported. This transformation utilizes a chiral ferrocenyl bidentate ligand and Ni(0) precatalyst to mediate the generation 2-azaallyl anions, affording α-aryl homoallylic in modest-to-high yields moderate-to-high enantiomeric ratios. resulting Ni-catalyzed proved be less general comparison our previously reported analogous Pd-mediated protocol, but it still exhibited certain...
In this paper, we propose an online visual tracking algorithm for fused sequences via deep learning and adaptive Particle filter (PF). Our pretrains a simplified Convolution Neural Network (CNN) to obtain generic target representation. The outputs from the hidden layers of network help form model PF. During tracking, moving information guides distribution particle samples. tests illustrate competitive performance compared state-of-art algorithms especially when or camera moves quickly.
In order to detect image spam effectively, we propose a method based on K-labels propagation model (KLPM) in this paper. Specifically, the speeded up robust features (SURF) of each are extracted firstly. Then standardize image, an improved means clustering algorithm is used cluster these and get information M centers. Finally, after being labeled, all testing images classified into or ham via KLPM, which K-nearest neighbor (KNN) graph label propagating process. Experiments show that...
Siamese networks based visual tracking has recently drawn great attention due to their superior representation and accuracy. However, the backbone prediction still cannot fully take advantage of features from modern deep networks. In this paper, we propose an inverted residual feature-crossing network (IRSiamese-FCN) which is end-to-end trained off-line with a large amount image pairs. Specifically, for feature extraction consist (FCN). The designed IR architecture light weighted by...
Each image has its own color content that greatly influences the perception of human observer. Recently, transfer among different images been under investigation. In this paper, after a brief review on few efficient works performed in field, novel fuzzy clustering based method is proposed. The proposed accomplishes transformation set corresponding algorithm-selected regions along with membership degree factors. Results show presented algorithm highly automatically and more effective.
This paper proposes a new fast dehazing method based on multiple filtering methods. We firstly estimate an initial airlight map through its characteristics, then refine it by bilateral filter and guided to generate one which removes the abundant texture information recovers depth edge information. And, correct atmosphere light is generated hierarchical searching quad-tree subdivision. Finally, scene radiance produced attenuation model. Comparing experiments show that proposed algorithm can...
With the rapid development of China's civil aviation industry, airport is facing increasing pressure on security. In this paper, target tracking algorithm in Intelligent Video Surveillance (IVS) studied. It aims to provide ideas and reference for implementation high performance intelligent video surveillance system. The main contents paper are as follows: Aiming at problem failure caused by occlusion, deformation illumination changes, proposes a that combines apparent features depth...
The mixed flow in multi-tenant data centers presents a challenge for priority scheduling due to the coexistence of various requirements such as latency and throughput. To address this issue, we propose Key Flow First (KFF), balanced algorithm suitable flows centers. Firstly, KFF categorizes into Latency-Sensitive Flows (LS Flow) Throughput-Demanding (TD based on Quality Service (QoS) their application sources. Secondly, it further differentiates Mice Elephants amount already sent bytes....
Abstract using (S,S)‐f‐binaphane (BPF) as chiral catalyst ligand