Yuchen Weng

ORCID: 0009-0005-4219-3108
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About
Contact & Profiles
Research Areas
  • Advanced Neural Network Applications
  • Video Surveillance and Tracking Methods
  • Image Retrieval and Classification Techniques
  • Control and Dynamics of Mobile Robots
  • Educational Games and Gamification
  • Remote Sensing and LiDAR Applications
  • Flow Experience in Various Fields
  • Micro and Nano Robotics
  • Augmented Reality Applications
  • Space Satellite Systems and Control
  • Virtual Reality Applications and Impacts
  • Advanced Image and Video Retrieval Techniques
  • Industrial Vision Systems and Defect Detection
  • Digital Games and Media
  • Diverse Aspects of Tourism Research
  • Robotic Path Planning Algorithms
  • Soft Robotics and Applications
  • Religious Tourism and Spaces
  • Museums and Cultural Heritage

China University of Mining and Technology
2023-2025

Shanghai Jiao Tong University
2019

RGB and thermal image fusion have great potential to exhibit improved semantic segmentation in low-illumination conditions. Existing methods typically employ a two-branch encoder framework for multimodal feature extraction design complicated strategies achieve segmentation. However, these require massive parameter updates computational effort during the fusion. To address this issue, we propose novel network (EFNet) based on an early strategy simple but effective clustering training...

10.48550/arxiv.2501.10958 preprint EN arXiv (Cornell University) 2025-01-19

10.1109/icassp49660.2025.10889359 article EN ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2025-03-12

In field environments, numerous robots necessitate manual intervention for restoration of functionality post a turnover, resulting in diminished operational efficiency. This study presents an innovative design solution reversible omnidirectional mobile robot denoted as CuRobot, featuring cube structure, thereby facilitating uninterrupted movement even the event flipping. The incorporation eight conical wheels at vertices ensures consistent motion no matter which face contacts ground....

10.1109/lra.2024.3359551 article EN IEEE Robotics and Automation Letters 2024-01-29

In field environments, numerous robots necessitate manual intervention for restoration of functionality post a turnover, resulting in diminished operational efficiency. This study presents an innovative design solution reversible omnidirectional mobile robot denoted as CuRobot, featuring cube structure, thereby facilitating uninterrupted movement even the event flipping. The incorporation eight conical wheels at vertices ensures consistent motion no matter which face contacts ground....

10.48550/arxiv.2311.16809 preprint EN other-oa arXiv (Cornell University) 2023-01-01
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