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@Double-Y-EY-Challenge-2024 @DoubleY-BEGC2024

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yjwong1999/README.md

GitHub

🔭 My Main Research Area(s) are Deep Reinforcement Learning and Federated Learning

Current Research Area(s):

  • 🌨️ Diffusion Model
  • ☁️ 3D Point Cloud Detection
  • 🎥 Video Streaming & QoE
  • 📷 Multi Camera Face Detection and Recognition

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  1. Twin-TD3 Twin-TD3 Public

    IEEE WCNC 2023: Deep Reinforcement Learning for Secrecy Energy-Efficient UAV Communication with Reconfigurable Intelligent Surfaces

    Python 84 17

  2. efficient_yolov8_inference efficient_yolov8_inference Public

    Efficient YOLOv8 inference depends not only on GPU specifications but also on CPU processing. However, the significance of fully utilizing the CPU is often overlooked. In this repository, we explor…

    Python 7

  3. RSGuidedDiffusion RSGuidedDiffusion Public

    Cross-City Building Instance Segmentation: From More Data to Diffusion-Augmentation (IEEE BigData 2024)

    Python 5

  4. RSBuildingExtraction RSBuildingExtraction Public

    Cross-City Building Instance Segmentation: From More Data to Diffusion-Augmentation (IEEE BigData 2024)

    Jupyter Notebook 5

  5. OpenPCDet OpenPCDet Public

    Forked from open-mmlab/OpenPCDet

    OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

    Python 5

  6. CUDA-PointPillars CUDA-PointPillars Public

    Forked from NVIDIA-AI-IOT/CUDA-PointPillars

    A project demonstrating how to use CUDA-PointPillars to deal with cloud points data from lidar.

    Jupyter Notebook 5