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License: MIT License
JavaScript 13.63%
TypeScript 86.37%
productive-box's Introduction
![header](https://camo.githubusercontent.com/a7604c5ca04b75b713f8e46057170baf0c13be89b6f2eacddb2d76efdab76e7a/68747470733a2f2f63617073756c652d72656e6465722e76657263656c2e6170702f6170693f747970653d776176696e6726636f6c6f723d74696d654175746f266865696768743d3230302673656374696f6e3d68656164657226746578743d25323053656f596f6f6e253230277325323047697448756226666f6e7453697a653d363026616e696d6174696f6e3d66616465496e)
![trophy](https://camo.githubusercontent.com/39d34e8cd112e176a050aa698bd8f0a73d1b9099b75dbb2eabb22f0df2dda6e4/68747470733a2f2f6769746875622d70726f66696c652d74726f7068792e76657263656c2e6170702f3f757365726e616d653d737930306e2672616e6b3d2d432c2d42267468656d653d6f6e656461726b)
๏ปฟ![Top Langs](https://camo.githubusercontent.com/22416991ba3f53b1774c1de2161a2691b6dd8a5649a0e880a48489c9da2ed627/68747470733a2f2f6769746875622d726561646d652d73746174732e76657263656c2e6170702f6170692f746f702d6c616e67732f3f757365726e616d653d737930306e266c616e67735f636f756e743d3130266c61796f75743d636f6d70616374267468656d653d64726163756c61)
Period |
Institution |
Major |
Degree |
Remarks |
2022.06~ |
Yonsei Univ. |
Department of Industrial Engineering, Knowledge Fusion Artificial Intelligence Lab |
Master's |
Enrolled |
2021.12~ |
Kookmin Univ. |
Department of Computer Science, Artificial Intelligence Lab |
Undergraduate Researcher |
Completed |
2021.03~ |
Kookmin Univ. |
Data Science |
Minor |
Graduated |
2020.03~ |
Kookmin Univ. |
AI Bigdata & management |
Major |
Graduated |
2019.03~ |
Kookmin Univ. |
Forest & Bio technology |
- |
Major changed |
Research Area |
Computer Vision with Deep Learning |
Anomaly Detection |
Open-Set Recognition |
Few-Shot Learning |
Incremental/Continual Learning |
Self-Supervised Learning |
Semantic Segmentation with less supervision |
Object Detection |
๐ Competition & Project
Year |
Category |
Host |
Project |
Result |
2023 |
Image |
CVPR |
Workshop VPLOW Object Discovery challenge |
2nd place |
2023 |
Sensor |
LG Energy Solution |
Self-Supervised Learning for sensor-based anomaly detection |
|
2022 |
Video |
KMU |
DREAM: Debiased Representation based Evidential Open Set Action Recognition with Multi-modality |
link |
2022 |
Image Generation |
D&A |
Personal Color Classification and Makeup Style Transfer |
|
2022 |
Recommendation System |
KMU |
ViT(Vision Transformer)-based Recommendation System utilizing Auxiliary Information |
link |
2022 |
Distributed Computing |
KMU |
Implementation of removing duplicate edges and loops from the hyperlink network graph dataset of Wikipedia using MapReduce |
|
2022 |
Multi-modal |
AI Spark Challenge |
Planning and Development of Counseling Support Service through Emotion Analysis |
Advanced to the Final Round |
2021 |
NLP |
DACON |
News Topic Classification AI Competition |
top 4% |
2021 |
Time Series |
Big Contest |
ECO Jeju Division, Predicting Food Waste Amount and Deriving Reduction Strategies |
|
2021 |
NLP |
KMU |
Analysis of Customer Reviews in Musinsa Shopping Mall |
|
2021 |
Spatial Data Analysis (QGIS) |
KMU |
If Seoul's Starbucks stores need to be reduced by 20% due to prolonged COVID-19, which areas and why? |
|
2021 |
Spatial Data Analysis (QGIS) |
KMU |
Mapping and Characteristic Analysis of Restaurants that Survived for 10 Years in the Sungshin Women's University Commercial Area |
|
2021 |
Speech |
KMU |
Prediction of Depression through Voice Emotion Analysis |
|
2021 |
Machine Learning |
D&A |
Prediction of Customer Gender based on Department Store |
|
2020 |
Machine Learning |
KMU |
Customized promotion planning based on gender and age group through analysis of L-point customer purchase data |
|
![footer](https://camo.githubusercontent.com/3a59a2d02585f4b2206258572cd57e22cd69d62d0ab9066743b8b9473e5e0f29/68747470733a2f2f63617073756c652d72656e6465722e76657263656c2e6170702f6170693f747970653d776176696e6726636f6c6f723d74696d654175746f266865696768743d3230302673656374696f6e3d666f6f74657226746578743d5448414e4b253230594f5526666f6e7453697a653d363026616e696d6174696f6e3d66616465496e)
productive-box's People