E-LIB Suche - Ergebnisse für: Jeong, Joonhyun

1

EResFD: Rediscovery of the Effectiveness of Standard Convol..:

, In: 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV),

Jeong, Joonhyun ; Kim, Beomyoung ; Yu, Joonsang. - p. 977-987 , 2024

Link: https://doi.org/10.1109/..

2

The Devil is in the Points: Weakly Semi-Supervised Instance..:

, In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),

Kim, Beomyoung ; Jeong, Joonhyun ; Han, Dongyoon. - p. 11360-11370 , 2023

Link: https://doi.org/10.1109/..

3

Observations on K-Image Expansion of Image-Mixing Augmentat..:

Jeong, Joonhyun ; Cha, Sungmin ; Choi, Jongwon...
IEEE Access. 11 (2023) - p. 16631-16643 , 2023

Link: https://doi.org/10.1109/..

4

A New Pointwise Convolution in Deep Neural Networks Through..:

Jeong, Joonhyun ; Cho, Incheon ; Shin, Eunseop.
IEEE Access. 10 (2022) - p. 88251-88262 , 2022

Link: https://doi.org/10.1109/..

5

ProxyDet: Synthesizing Proxy Novel Classes via Classwise Mi..:

Jeong, Joonhyun ; Park, Geondo ; Yoo, Jayeon..
http://arxiv.org/abs/2312.07266. , 2023

Link: http://arxiv.org/abs/231..

6

Hijacking Context in Large Multi-modal Models:

Jeong, Joonhyun
http://arxiv.org/abs/2312.07553. , 2023

Link: http://arxiv.org/abs/231..

7

GeNAS: Neural Architecture Search with Better Generalizatio:

Jeong, Joonhyun ; Yu, Joonsang ; Park, Geondo..
http://arxiv.org/abs/2305.08611. , 2023

Link: http://arxiv.org/abs/230..

8

The Devil is in the Points: Weakly Semi-Supervised Instance..:

Kim, Beomyoung ; Jeong, Joonhyun ; Han, Dongyoon.
http://arxiv.org/abs/2303.15062. , 2023

Link: http://arxiv.org/abs/230..

9

Dataset Condensation via Efficient Synthetic-Data Parameter..:

Kim, Jang-Hyun ; Kim, Jinuk ; Oh, Seong Joon...
http://arxiv.org/abs/2205.14959. , 2022

Link: http://arxiv.org/abs/220..

10

EResFD: Rediscovery of the Effectiveness of Standard Convol..:

Jeong, Joonhyun ; Kim, Beomyoung ; Yu, Joonsang.
http://arxiv.org/abs/2204.01209. , 2022

Link: http://arxiv.org/abs/220..

11

Observations on K-image Expansion of Image-Mixing Augmentat..:

Jeong, Joonhyun ; Cha, Sungmin ; Yoo, Youngjoon...
http://arxiv.org/abs/2110.04248. , 2021

Link: http://arxiv.org/abs/211..

12

An Inter-Layer Weight Prediction and Quantization for Deep ..:

Lee, Kang-Ho ; Jeong, JoonHyun ; Bae, Sung-Ho
http://arxiv.org/abs/1907.06835. , 2019

Link: http://arxiv.org/abs/190..

13

New pointwise convolution in Deep Neural Networks through E..:

Jeong, Joonhyun ; Bae, Sung-Ho
http://arxiv.org/abs/1906.12172. , 2019

Link: http://arxiv.org/abs/190..

14

Observations on K-Image Expansion of Image-Mixing Augmentat..:

Joonhyun Jeong ; Sungmin Cha ; Jongwon Choi...
https://ieeexplore.ieee.org/document/10038702/. , 2023

Link: https://doi.org/10.1109/..

15

A New Pointwise Convolution in Deep Neural Networks Through..:

Joonhyun Jeong ; Incheon Cho ; Eunseop Shin.
https://ieeexplore.ieee.org/document/9852205/. , 2022

Link: https://doi.org/10.1109/..