New pointwise convolution in Deep Neural Networks through Extremely Fast and Non Parametric Transforms. - Joonhyun Jeong; Sung-Ho Bae (CoRR, 2019)

An Inter-Layer Weight Prediction and Quantization for Deep Neural Networks based on a Smoothly Varying Weight Hypothesis. - Kang-Ho Lee; Joonhyun Jeong; Sung-Ho Bae (CoRR, 2019)

Observations on K-image Expansion of Image-Mixing Augmentation for Classification. - Joonhyun Jeong; Sungmin Cha; Youngjoon Yoo; Sangdoo Yun; Taesup Moon; Jongwon Choi (CoRR, 2021)

Dataset Condensation via Efficient Synthetic-Data Parameterization. - Jang-Hyun Kim; Jinuk Kim; Seong Joon Oh; Sangdoo Yun; Hwanjun Song; Joonhyun Jeong; Jung-Woo Ha 001; Hyun Oh Song (ICML, 2022)

A New Pointwise Convolution in Deep Neural Networks Through Extremely Fast and Non Parametric Transforms. - Joonhyun Jeong; Incheon Cho; Eunseop Shin; Sung-Ho Bae (IEEE Access, 2022)

Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection. - Joonhyun Jeong; Beomyoung Kim; Joonsang Yu; Youngjoon Yoo (CoRR, 2022)

The Devil is in the Points: Weakly Semi-Supervised Instance Segmentation via Point-Guided Mask Representation. - Beomyoung Kim; Joonhyun Jeong; Dongyoon Han; Sung Ju Hwang (CVPR, 2023)

GeNAS: Neural Architecture Search with Better Generalization. - Joonhyun Jeong; Joonsang Yu; Geondo Park; Dongyoon Han; Youngjoon Yoo (IJCAI, 2023)

Observations on K-Image Expansion of Image-Mixing Augmentation. - Joonhyun Jeong; Sungmin Cha; Jongwon Choi; Sangdoo Yun; Taesup Moon; Youngjoon Yoo (IEEE Access, 2023)

Hijacking Context in Large Multi-modal Models. - Joonhyun Jeong (CoRR, 2023)

ProxyDet: Synthesizing Proxy Novel Classes via Classwise Mixup for Open-Vocabulary Object Detection. - Joonhyun Jeong; Geondo Park; Jayeon Yoo; Hyungsik Jung; Heesu Kim (AAAI, 2024)

EResFD: Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection. - Joonhyun Jeong; Beomyoung Kim; Joonsang Yu; Youngjoon Yoo (WACV, 2024)

ZIM: Zero-Shot Image Matting for Anything. - Beomyoung Kim; Chanyong Shin; Joonhyun Jeong; Hyungsik Jung; Se-Yun Lee; Sewhan Chun; Dong-Hyun Hwang; Joonsang Yu (CoRR, 2024)

Playing the Fool: Jailbreaking LLMs and Multimodal LLMs with Out-of-Distribution Strategy. - Joonhyun Jeong; Seyun Bae; Yeonsung Jung; Jaeryong Hwang; Eunho Yang (CVPR, 2025)