sy00n Goto Github PK

followers: 18.0 following: 17.0 repos: 48.0 gists: 1.0

Name: Seoyoon Jang / 장서윤

Type: User

Company: Yonsei University

Bio: Researcher in KFAI Lab

Location: Seoul, South Korea

📞 Contact

🛠 Tech Stack

📝 Education

Period	Institution	Major	Degree	Remarks
2022.06~	Yonsei Univ.	Department of Industrial Engineering, Knowledge Fusion Artificial Intelligence Lab	Master's	Enrolled
2021	SKT	2021 SKT AI Curriculum	Education	Completed
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

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

🏆 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

Seoyoon Jang / 장서윤's Projects

aispark

align

Repo of NeurIPS23

anomalygpt

[AAAI 2024 Oral] AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models

arpl

[TPAMI 2021] Adversarial Reciprocal Points Learning for Open Set Recognition

audiomae

This repo hosts the code and models of "Masked Autoencoders that Listen".

awesome-few-shot-class-incremental-learning

Awesome Few-Shot Class-Incremental Learning

awesome-incremental-learning

Awesome Incremental Learning

awesome-industrial-anomaly-detection

Paper list and datasets for industrial image anomaly/defect detection (updating).

awesome-novel-class-discovery

A list of papers that studies Novel Class Discovery

awesome-weakly-supervised-semantic-segmentation-papers

Recent weakly supervised semantic segmentation paper

awesome_opensetrecognition_list

A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition

awesome_prompting_papers_in_computer_vision

A curated list of prompt-based paper in computer vision and vision-language learning.

baekjoon

코딩테스트 대비 문제집(Baekjoon Online Judge)

cvpr21-proser

The code repository for "Learning Placeholders for Open-Set Recognition" (CVPR21 Oral) in PyTorch.

cvpr22_vplow_ow

denseclip

[CVPR 2022] DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting

dl_paper_review

issues에 논문 요약

docker_hub

Process of pushing and pulling images to Docker Hub

dreamcap

dualprompt-pytorch

PyTorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22

efficientad

unofficial version of EfficientAD

etc

inctrl

Official implementation of CVPR'24 paper 'Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Prompts'.

kaggle-m5-forecasting-accuracy-4th-place

[kaggle] M5 Forecasting - Accuracy (4th place solution)

knowledge_distillation_ad

m5-methods

Data, Benchmarks, and methods submitted to the M5 forecasting competition

mood

Official PyTorch implementation and pretrained models of Rethinking Out-of-distribution (OOD) Detection: Masked Image Modeling Is All You Need (MOOD in short). Our paper is accepted by CVPR2023.

multimodal-prompt-learning

[CVPR 2023] Official repository of paper titled "MaPLe: Multi-modal Prompt Learning".

oop_study

Object-oriented Programming Study

productive-box

Are you an early 🐤 or a night 🦉? Let's check out in gist