A5101540014- Advanced Neural Network Applications
- Computer Graphics and Visualization Techniques
- Multimodal Machine Learning Applications
- Human Pose and Action Recognition
- Slime Mold and Myxomycetes Research
- Video Surveillance and Tracking Methods
- Advanced Numerical Analysis Techniques
- 3D Surveying and Cultural Heritage
- Fluorine in Organic Chemistry
- Medical Image Segmentation Techniques
- Spectroscopy and Quantum Chemical Studies
- Robotics and Sensor-Based Localization
- Domain Adaptation and Few-Shot Learning
- Image Processing and 3D Reconstruction
- Advanced Materials and Mechanics
- Adhesion, Friction, and Surface Interactions
- Quantum many-body systems
- Catalytic C–H Functionalization Methods
- Video Analysis and Summarization
- Topological and Geometric Data Analysis
- Advanced Image and Video Retrieval Techniques
- Strong Light-Matter Interactions
- Medical Imaging and Analysis
- Environmental remediation with nanomaterials
- AI and Big Data Applications
Jinling Institute of Technology
2024
Zhejiang University
2020-2024
Nanyang Technological University
2024
National University of Singapore
2000-2024
University of Shanghai for Science and Technology
2024
Guangzhou Maritime College
2024
Peking University
2020-2023
Lanzhou University
2021-2023
Zhejiang Gongshang University
2023
Guangzhou University
2023
Intraoperative tracking of laparoscopic instruments is often a prerequisite for computer and robotic-assisted interventions. While numerous methods detecting, segmenting medical based on endoscopic video images have been proposed in the literature, key limitations remain to be addressed: Firstly, robustness, that is, reliable performance state-of-the-art when run challenging (e.g. presence blood, smoke or motion artifacts). Secondly, generalization; algorithms trained specific intervention...
Alkylnitriles play important roles in many fields because of their unique electronic properties and structural characteristics. Incorporating cyanoalkyl with characteristic spectroscopy reactivity into amino acids peptides is special interest for potential imaging therapeutic purposes. Here, we report a copper-catalyzed asymmetric cyanoalkylation C(sp3)-H. In the reactions, glycine derivatives can effectively couple various cycloalkanone oxime esters high enantioselectivities, reaction be...
The visible light induced, photocatalysts or photoabsorbing EDA complexes mediated cleavage of pyridinium C-N bond were reported in the past years. Here, we report an ionic compound promote homolytic by exploiting photonic energy from light. This finding is successfully applied deaminative hydroalkylation a series alkenes including naturally occurring dehydroalanine, which provides efficient way to prepare β-alkyl substituted unnatural amino acids under mild and photocatalyst-free...
Given the rapid development of internet, prospects for online travel industry are promising, and communities (OTCs) have become an invaluable platform people exchanging information making related decisions. However, mobility continuous sharing behavior community users has a major source uncertainty in management. To establish ways regulating promoting innovation development, this article builds on knowledge definitions relevant concepts that we find research literature. Taking as its object...
Intraoperative tracking of laparoscopic instruments is often a prerequisite for computer and robotic-assisted interventions. While numerous methods detecting, segmenting medical based on endoscopic video images have been proposed in the literature, key limitations remain to be addressed: Firstly, robustness, that is, reliable performance state-of-the-art when run challenging (e.g. presence blood, smoke or motion artifacts). Secondly, generalization; algorithms trained specific intervention...
Topological photonics has thrived in various optical systems over the past decade for fascinating properties of eliminating backscattering losses and enhancing efficiency communication systems. The demonstration topology strong light–matter coupling regimes may prove tunable devices that are immune to disorder defects or achieve extreme light confinement. Recently, topological exciton–polaritons were experimentally studied deep cryogenic temperatures. As another elementary quasiparticle...
Amodal Instance Segmentation (AIS) endeavors to accurately deduce complete object shapes that are partially or fully occluded. However, the inherent ill-posed nature of single-view datasets poses challenges in determining occluded shapes. A multi-view framework may help alleviate this problem, as humans often adjust their perspective when encountering objects. At present, approach has not yet been explored by existing methods and datasets. To bridge gap, we propose a new task called...
The Amodal Instance Segmentation (AIS) task aims to infer the complete mask of occluded instance. Under many circumstances, existing methods treat objects as unoccluded ones, and vice versa, leading inaccurate predictions. This is because AIS do not explicitly utilize occlusion rates each object supervision. However, information critical for recognize whether target are occluded. Hence we believe it vital method be distinguishable about degree In this paper, a simple yet effective...
Capillary folding is the process of planar objects into three-dimensional (3-D) structures using capillary force. It has many important industrial applications, e.g. fabrication microelectromechanical systems. In this work, we propose a 3-D model for thin elastic sheets with pinned contact lines. The energy system consists interfacial energies between different phases and sheet. latter described by nonlinear Koiter's model, which can accommodate large deformations From energy, derive...
Perceiving the complete shape of occluded objects is essential for human and machine intelligence. While amodal segmentation task to predict mask partially objects, it time-consuming labor-intensive annotate pixel-level ground truth masks. Box-level supervised addresses this challenge by relying solely on bounding boxes instance classes as supervision, thereby alleviating need exhaustive annotations. Nevertheless, current box-level methodologies encounter limitations in generating...
How to separate foreground from camera and background motions is a difficult problem for human action recognition in unconstrained environments. Although the existing interest point based methods have shown attractive results, they always come with high computational complexity lose their power cluttered field motion. In this paper, new spatio-temporal detector on flow vorticity proposed, which can not only suppress most of effects motion but also provide prominent points around key...
Herein, a non-classical C-saccharide linkage is reported via C5 radical of pentose or C6 hexose addition to Michael acceptors. C(sp3)-S cleaved glycosyl thianthrenium salts are developed as the agents. The reaction provides an efficient toolkit synthesize β-glycosyl substituted unnatural amino acids well for late-stage modification peptides.
We propose a mathematical model for two-dimensional continua in order to establish solid theoretical foundation the study of their complex topology, large geometric deformations, and topological changes such as merging context multiphase flows. Our modeling space, named Yin consists regular open semianalytic sets with bounded boundaries, is further equipped constructive algebraic definitions Boolean operations. Major distinguishing features our include (a) information fluids Betti numbers...
Perceiving the complete shape of occluded objects is essential for human and machine intelligence. While amodal segmentation task to predict mask partially objects, it time-consuming labor-intensive annotate pixel-level ground truth masks. Box-level supervised addresses this challenge by relying solely on bounding boxes instance classes as supervision, thereby alleviating need exhaustive annotations. Nevertheless, current box-level methodologies encounter limitations in generating...
Abstract The research firstly constructs the evaluation system of art course Civics, including 2 first-level indicators, 6 second-level indicators and 21 third-level indicators. Bayesian network war strategy optimization algorithm are used to optimize method. In study, Yaahp software was calculate weights Through empirical analysis “understanding great morality” “abiding by public A students in colleges universities, it found that teaching curriculum civic politics significantly impacted...