Lei Pan

ORCID: 0009-0002-1785-008X
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About
Contact & Profiles
Research Areas
  • Global Financial Crisis and Policies
  • Economic Policies and Impacts
  • Monetary Policy and Economic Impact
  • Image Enhancement Techniques
  • Speech and dialogue systems
  • Hand Gesture Recognition Systems
  • Advanced Image Fusion Techniques
  • Digital Marketing and Social Media
  • Diverse Aspects of Tourism Research
  • Computer Graphics and Visualization Techniques
  • 3D Surveying and Cultural Heritage
  • Economic Theory and Policy
  • 3D Shape Modeling and Analysis
  • Consumer Behavior in Brand Consumption and Identification
  • Video Surveillance and Tracking Methods
  • Hearing Impairment and Communication

Inspur (China)
2025

Civil Aviation Flight University of China
2019-2025

Curtin University
2023

Haze is a common weather phenomenon, which hinders many outdoor computer vision applications such as surveillance, navigation control, vehicle driving, and so on. In this paper, simple but effective unified variational model for single image dehazing presented based on the total variation regularization. From perspective of relationship between Retinex, problem can be formulated minimization Retinex model. The proposed incorporates two <inline-formula...

10.1109/access.2019.2894525 article EN cc-by-nc-nd IEEE Access 2019-01-01

Hearing impairments affect approximately 1.5 billion individuals worldwide, highlighting the critical need for effective communication tools between deaf and hearing populations. Traditional sign language translation (SLT) models predominantly rely on gloss-based methods, which convert visual inputs into intermediate gloss sequences before generating textual translations. However, these methods are constrained by their reliance extensive annotated data, susceptibility to error propagation,...

10.3390/electronics14051044 article EN Electronics 2025-03-06

Accurate classification of three-dimensional (3D) point clouds in real-world environments is often impeded by sensor noise, occlusions, and incomplete data. To overcome these challenges, we propose SMCNet, a robust multimodal framework for 3D cloud classification. SMCNet combines multi-view projection neural radiance fields (NeRFs) to generate high-fidelity 2D representations with enhanced texture realism, addressing occlusions lighting inconsistencies effectively. The Mamba model further...

10.3390/s24237861 article EN cc-by Sensors 2024-12-09

The travel and tourism industry is among most severely impacted by natural disasters, terrorism, financial crises, pandemics. Scholars are currently paying attention to how revive establish tourist loyalty in the post-pandemic era. Aesthetics a fundamental component of experience, significantly affects loyalty, intention, behavior. However, research on destination aesthetics limited, with studies neglecting role memorability outcomes aesthetics, particularly after pandemic. Therefore, this...

10.1016/j.heliyon.2023.e23365 article EN cc-by-nc-nd Heliyon 2023-12-09

This paper examines how exchange rate regime flexibility impacts the allocation of labor across firms. Specifically, we investigate differences in labor-intensity or capitalintensity production affect employment decisions under various degrees flexibility. In a simple theoretical model, show that firms utilizing more laborintensive technologies are likely to expand their when they face becomes less flexible. contrast, employing capitalintensive technology tend hire workers is We test our...

10.2139/ssrn.4614168 preprint EN 2023-01-01
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