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Dae Ung Jo
ORCID
Publication Activity (10 Years)
Years Active: 2019-2023
Publications (10 Years): 10
Top Topics
Object Detection
Active Learning
Bayesian Learning
Congestion Avoidance
Top Venues
CoRR
AAAI
IEEE Access
NeurIPS
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Publications
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Sujin Jang
,
Dae Ung Jo
,
Sung Ju Hwang
,
Dongwook Lee
,
Daehyun Ji
STXD: Structural and Temporal Cross-Modal Distillation for Multi-View 3D Object Detection.
NeurIPS
(2023)
Jiyeoup Jeong
,
Jongwon Choi
,
Dae Ung Jo
,
Jin Young Choi
Congestion-Aware Bayesian Loss for Crowd Counting.
IEEE Access
10 (2022)
Dae Ung Jo
,
Sangdoo Yun
,
Jin Young Choi
How Much a Model be Trained by Passive Learning Before Active Learning?
IEEE Access
10 (2022)
Jongin Lim
,
Daeho Um
,
Hyung Jin Chang
,
Dae Ung Jo
,
Jin Young Choi
Class-Attentive Diffusion Network for Semi-Supervised Classification.
AAAI
(2021)
Seulki Park
,
Dae Ung Jo
,
Jin Young Choi
Over-Fit: Noisy-Label Detection based on the Overfitted Model Property.
CoRR
(2021)
Jongin Lim
,
Daeho Um
,
Hyung Jin Chang
,
Dae Ung Jo
,
Jin Young Choi
Class-Attentive Diffusion Network for Semi-Supervised Classification.
CoRR
(2020)
Dae Ung Jo
,
Byeongju Lee
,
Jongwon Choi
,
Haanju Yoo
,
Jin Young Choi
Associative Variational Auto-Encoder with Distributed Latent Spaces and Associators.
AAAI
(2020)
Youngmin Ro
,
Jongwon Choi
,
Dae Ung Jo
,
Byeongho Heo
,
Jongin Lim
,
Jin Young Choi
Backbone Can Not be Trained at Once: Rolling Back to Pre-trained Network for Person Re-Identification.
CoRR
(2019)
Youngmin Ro
,
Jongwon Choi
,
Dae Ung Jo
,
Byeongho Heo
,
Jongin Lim
,
Jin Young Choi
Backbone Cannot Be Trained at Once: Rolling Back to Pre-Trained Network for Person Re-Identification.
AAAI
(2019)
Dae Ung Jo
,
Byeongju Lee
,
Jongwon Choi
,
Haanju Yoo
,
Jin Young Choi
Cross-modal Variational Auto-encoder with Distributed Latent Spaces and Associators.
CoRR
(2019)