About Me
Best Developer Enjoying Life with AI.
My Research Interests are
- Computer Vision
- Multi-Modal Vision-Language Models
- Object Detection
- Model Compression
- Neural Architecture Search
- Data Augmentation
Experience
Web Front & Backend Engineer / Intern
AI Model Research & Develop for Face Detection task / Intern (Face team)
AI Research Engineer / Full-Timer in Image Vision team under the supervision of Youngjoon Yoo.
Education
Kyung-Hee University
Bachelor Degree, Department of Computer Science and Engineering
Mar 2015 - Feb 2019
Kyung-Hee University
Department of Computer Science and Engineering
Mar 2019 - Aug 2019
Machine Learning and Visual Computing Laboratory (MLVC) Lab under the supervision of Prof. Sung-Ho Bae.
Korea Advanced Institute of Science and Technology (KAIST)
Master Degree, Kim Jaechul Graduate School of AI (GSAI)
Sep 2022 - Current
Machine Learning and Intelligence LAB (MLI) Lab under the supervision of Prof. Eunho Yang.
Publications
ProxyDet: Synthesizing Proxy Novel Classes via Classwise Mixup for Open Vocabulary Object Detection
AAAI 2024
Joonhyun Jeong, Geondo Park, Jayeon Yoo, Hyungsik Jung, Heesu Kim
[Paper]EResFD: Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection
WACV 2024
Joonhyun Jeong, Beomyoung Kim, Joonsang Yu, Youngjoon Yoo
[Paper]GeNAS: Neural Architecture Search with Better Generalization
IJCAI 2023
Joonhyun Jeong, Joonsang Yu, Geondo Park, Dongyoon Han, Youngjoon Yoo
[Paper]The Devil is in the Points: Weakly Semi-Supervised Instance Segmentation via Point-Guided Mask Representation
CVPR 2023
Beomyoung Kim, Joonhyun Jeong, Dongyoon Han, Sung Ju Hwang
[Paper]
Neural Architecture Search with Loss Flatness-aware Measure
ICMLW 2022 (DyNN Workshop)
Joonhyun Jeong, Joonsang Yu, Dongyoon Han, YoungJoon Yoo
[Paper]
Dataset Condensation via Efficient Synthetic-Data Parameterization
ICML 2022
Jang-Hyun Kim, Jinuk Kim, Seong Joon Oh, Sangdoo Yun, Hwanjun Song, Joonhyun Jeong, Jung-Woo Ha, Hyun Oh Song
[Paper]Observations on K-image Expansion of Image-Mixing Augmentation for Classification
IEEE ACCESS 2023
Joonhyun Jeong, Sungmin Cha, Youngjoon Yoo, Sangdoo Yun, Taesup Moon, Jongwon Choi
[Paper]
Bayesian Perspective on Visual Data Augmentation for Efficient Utilization of Subsampled Data
ICLRW 2021 (Synthetic Data Generation Workshop)
Joonhyun Jeong, Sungmin Cha, Youngjoon Yoo, Sangdoo Yun, Jongwon Choi
[Paper]
An Inter-Layer Weight Prediction and Quantization for Deep Neural Networks based on a Smoothly Varying Weight Hypothesis
Arxiv 2019
Kang-Ho Lee, JoonHyun Jeong, Sung-Ho Bae
[Paper]
A New Pointwise Convolution in Deep Neural Networks Through Extremely Fast and Non Parametric Transforms
IEEE ACCESS 2022
Joonhyun Jeong, Incheon Cho, Eunseop Shin, Sung-Ho Bae
[Paper]
고속 이산 코사인 변환을 이용한 새로운 경량화 콘볼루션 신경망
2019 한국컴퓨터종합학술대회 (KCC2019), 우수논문상
Joonhyun Jeong, Sung-Ho Bae
[Paper]
Projects
Automatic Authentication System Based on Face Recognition.
I took a role of modeling part for Real-Time Face Detection & Facial Landmark Detection, aimed for extremely fast inference without accuracy performance degradation.
Talks
Invited talk from Naver Connect Foundation, as a mentor for undergraduate students.
Invited lecture for career search seminar in Kyung-Hee University.
Invted talk for introducing the paper “A New Pointwise Convolution in Deep Neural Networks Through Extremely Fast and Non Parametric Transforms”
