About Me
Best Developer Enjoying Life with AI.
My Research Interests are
- AI Safety
- GUI-Agent
- Multi-Modal Vision-Language Models
- Object Detection
Experience
NAVER
May 2020 - Current
AI Research Engineer / Full-Timer in Image Vision team
AI Model Research & Develop for Face Detection task / Intern (Face team)
Web Front & Backend Engineer / Intern
Education
Korea Advanced Institute of Science and Technology (KAIST)
Ph.D candidate, Kim Jaechul Graduate School of AI (GSAI)
Sep 2024 - Current
Machine Learning and Intelligence LAB (MLI) Lab under the supervision of Prof. Eunho Yang.
Korea Advanced Institute of Science and Technology (KAIST)
Master Degree, Kim Jaechul Graduate School of AI (GSAI)
Sep 2022 - Aug 2024
Machine Learning and Intelligence LAB (MLI) Lab under the supervision of Prof. Eunho Yang.
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.
Kyung-Hee University
Bachelor Degree, Department of Computer Science and Engineering
Mar 2015 - Feb 2019
Publications
Playing the Fool: Jailbreaking LLMs and Multimodal LLMs with Out-of-Distribution Strategy
CVPR 2025 (Paper & Code coming soon!)
Joonhyun Jeong, Seyun Bae, Yeonsung Jung, Jaeryong Hwang, Eunho Yang
ZIM: Zero-Shot Image Matting for Anything
Arxiv 2024 (preprint)
Beomyoung Kim, Chanyong Shin, Joonhyun Jeong, Hyungsik Jung, Se-Yun Lee, Sewhan Chun, Dong-Hyun Hwang, Joonsang Yu
[Paper]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”
