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Haeune-Jeon

PROFILE

Haeune-jeon

During August 2025, Haeun developed the CV_Soccer video highlight extraction system within the KU-BIG/KUBIG_2025_FALL repository, delivering an end-to-end pipeline for automated soccer video analysis. The project combined Python and Bash scripting with deep learning frameworks such as PyTorch and TensorFlow to process video and audio data, extract features, and train fusion-based models for action spotting and highlight generation. Haeun implemented scalable pipelines for data loading, model training, inference, and evaluation, supporting iterative improvements. The work demonstrated depth in integrating computer vision, audio processing, and machine learning, resulting in a robust system for generating soccer game highlights automatically.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

1Total
Bugs
0
Commits
1
Features
1
Lines of code
5,763
Activity Months1

Your Network

28 people

Work History

August 2025

1 Commits • 1 Features

Aug 1, 2025

August 2025 monthly summary for KU-BIG/KUBIG_2025_FALL: Delivered the CV_Soccer video highlight extraction system and established an end-to-end pipeline for soccer video analysis, enabling automated highlight generation and action spotting from soccer games.

Activity

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Quality Metrics

Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance60.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

BashPython

Technical Skills

Action SpottingAudio ProcessingComputer VisionData PreprocessingDeep LearningFFmpegFeature ExtractionMachine LearningModel TrainingPyTorchTensorFlowVideo Analysis

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

KU-BIG/KUBIG_2025_FALL

Aug 2025 Aug 2025
1 Month active

Languages Used

BashPython

Technical Skills

Action SpottingAudio ProcessingComputer VisionData PreprocessingDeep LearningFFmpeg

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