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ORCIDJoonhyun Jeong
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2020 – today
- 2024
[c5]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: 2462-2470- [c4]Joonhyun Jeong, Beomyoung Kim, Joonsang Yu, Youngjoon Yoo:
EResFD: Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection. WACV 2024: 977-987 - [i10]Beomyoung Kim, Chanyong Shin, Joonhyun Jeong, Hyungsik Jung, Se-Yun Lee, Sewhan Chun, Dong-Hyun Hwang, Joonsang Yu:
ZIM: Zero-Shot Image Matting for Anything. CoRR abs/2411.00626 (2024) - 2023
- [j2]Joonhyun Jeong, Sungmin Cha, Jongwon Choi
, Sangdoo Yun, Taesup Moon, Youngjoon Yoo:
Observations on K-Image Expansion of Image-Mixing Augmentation. IEEE Access 11: 16631-16643 (2023) - [c3]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: 11360-11370 - [c2]Joonhyun Jeong, Joonsang Yu, Geondo Park, Dongyoon Han, Youngjoon Yoo:
GeNAS: Neural Architecture Search with Better Generalization. IJCAI 2023: 911-919 - [i9]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 abs/2303.15062 (2023) - [i8]Joonhyun Jeong, Joonsang Yu, Geondo Park, Dongyoon Han, Youngjoon Yoo:
GeNAS: Neural Architecture Search with Better Generalization. CoRR abs/2305.08611 (2023) - [i7]Joonhyun Jeong, Geondo Park, Jayeon Yoo, Hyungsik Jung, Heesu Kim:
ProxyDet: Synthesizing Proxy Novel Classes via Classwise Mixup for Open-Vocabulary Object Detection. CoRR abs/2312.07266 (2023) - [i6]Joonhyun Jeong:
Hijacking Context in Large Multi-modal Models. CoRR abs/2312.07553 (2023) - 2022
- [j1]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: 88251-88262 (2022) - [c1]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: 11102-11118 - [i5]Joonhyun Jeong, Beomyoung Kim, Joonsang Yu, Youngjoon Yoo:
Rediscovery of the Effectiveness of Standard Convolution for Lightweight Face Detection. CoRR abs/2204.01209 (2022) - [i4]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 abs/2205.14959 (2022) - 2021
- [i3]Joonhyun Jeong, Sungmin Cha, Youngjoon Yoo, Sangdoo Yun, Taesup Moon, Jongwon Choi:
Observations on K-image Expansion of Image-Mixing Augmentation for Classification. CoRR abs/2110.04248 (2021)
2010 – 2019
- 2019
- [i2]Joonhyun Jeong, Sung-Ho Bae:
New pointwise convolution in Deep Neural Networks through Extremely Fast and Non Parametric Transforms. CoRR abs/1906.12172 (2019) - [i1]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 abs/1907.06835 (2019)
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