Joonhyun Jeong

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 16

Top Topics

Polynomial Approximation

Top Venues

Publications

Joonhyun Jeong, Beomyoung Kim, Joonsang Yu, Youngjoon Yoo
EResFD: Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection. WACV (2024)
Joonhyun Jeong, Geondo Park, Jayeon Yoo, Hyungsik Jung, Heesu Kim
ProxyDet: Synthesizing Proxy Novel Classes via Classwise Mixup for Open-Vocabulary Object Detection. AAAI (2024)
Beomyoung Kim, Joonhyun Jeong, Dongyoon Han, Sung Ju Hwang
The Devil is in the Points: Weakly Semi-Supervised Instance Segmentation via Point-Guided Mask Representation. CVPR (2023)
Joonhyun Jeong, Joonsang Yu, Geondo Park, Dongyoon Han, Youngjoon Yoo
GeNAS: Neural Architecture Search with Better Generalization. IJCAI (2023)
Joonhyun Jeong
Hijacking Context in Large Multi-modal Models. CoRR (2023)
Joonhyun Jeong, Joonsang Yu, Geondo Park, Dongyoon Han, Youngjoon Yoo
GeNAS: Neural Architecture Search with Better Generalization. CoRR (2023)
Joonhyun Jeong, Geondo Park, Jayeon Yoo, Hyungsik Jung, Heesu Kim
ProxyDet: Synthesizing Proxy Novel Classes via Classwise Mixup for Open-Vocabulary Object Detection. CoRR (2023)
Beomyoung Kim, Joonhyun Jeong, Dongyoon Han, Sung Ju Hwang
The Devil is in the Points: Weakly Semi-Supervised Instance Segmentation via Point-Guided Mask Representation. CoRR (2023)
Joonhyun Jeong, Sungmin Cha, Jongwon Choi, Sangdoo Yun, Taesup Moon, Youngjoon Yoo
Observations on K-Image Expansion of Image-Mixing Augmentation. IEEE Access 11 (2023)
Joonhyun Jeong, Incheon Cho, Eunseop Shin, Sung-Ho Bae
A New Pointwise Convolution in Deep Neural Networks Through Extremely Fast and Non Parametric Transforms. IEEE Access 10 (2022)
Jang-Hyun Kim, Jinuk Kim, Seong Joon Oh, Sangdoo Yun, Hwanjun Song, Joonhyun Jeong, Jung-Woo Ha, Hyun Oh Song
Dataset Condensation via Efficient Synthetic-Data Parameterization. ICML (2022)
Joonhyun Jeong, Beomyoung Kim, Joonsang Yu, Youngjoon Yoo
Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection. CoRR (2022)
Jang-Hyun Kim, Jinuk Kim, Seong Joon Oh, Sangdoo Yun, Hwanjun Song, Joonhyun Jeong, Jung-Woo Ha, Hyun Oh Song
Dataset Condensation via Efficient Synthetic-Data Parameterization. CoRR (2022)
Joonhyun Jeong, Sungmin Cha, Youngjoon Yoo, Sangdoo Yun, Taesup Moon, Jongwon Choi
Observations on K-image Expansion of Image-Mixing Augmentation for Classification. CoRR (2021)
Kang-Ho Lee, Joonhyun Jeong, Sung-Ho Bae
An Inter-Layer Weight Prediction and Quantization for Deep Neural Networks based on a Smoothly Varying Weight Hypothesis. CoRR (2019)
Joonhyun Jeong, Sung-Ho Bae
New pointwise convolution in Deep Neural Networks through Extremely Fast and Non Parametric Transforms. CoRR (2019)