ProfessorsProfessors of Seoul National UniversityDae Ung Jo

Dae Ung Jo

Seoul National University

H-index: 4

Asia-South Korea

About Dae Ung Jo

Dae Ung Jo, With an exceptional h-index of 4 and a recent h-index of 4 (since 2020), a distinguished researcher at Seoul National University, specializes in the field of Machine learning, Computer vision, Autonomous driving, Multi-modal learning, Active learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

STXD: Structural and Temporal Cross-Modal Distillation for Multi-View 3D Object Detection

How Much a Model be Trained by Passive Learning Before Active Learning?

Congestion-aware bayesian loss for crowd counting

Influential Rank: A New Perspective of Post-training for Robust Model against Noisy Labels

Class-attentive diffusion network for semi-supervised classification

Associative variational auto-encoder with distributed latent spaces and associators

Dae Ung Jo Information

University	Seoul National University
Position	___
Citations(all)	60
Citations(since 2020)	60
Cited By	25
hIndex(all)	4
hIndex(since 2020)	4
i10Index(all)	3
i10Index(since 2020)	3
Email	Access Email
University Profile Page	Seoul National University
Google Scholar	View Google Scholar Profile

Dae Ung Jo Skills & Research Interests

Machine learning

Computer vision

Autonomous driving

Multi-modal learning

Active learning

Top articles of Dae Ung Jo

Title	Journal	Author(s)	Publication Date
STXD: Structural and Temporal Cross-Modal Distillation for Multi-View 3D Object Detection	Advances in Neural Information Processing Systems	Sujin Jang Dae Ung Jo Sung Ju Hwang Dongwook Lee Daehyun Ji	2024/2/13
How Much a Model be Trained by Passive Learning Before Active Learning?	IEEE Access	Dae Ung Jo Sangdoo Yun Jin Young Choi	2022/3/25
Congestion-aware bayesian loss for crowd counting	IEEE Access	Jiyeoup Jeong Jongwon Choi Dae Ung Jo Jin Young Choi	2022/1/18
Influential Rank: A New Perspective of Post-training for Robust Model against Noisy Labels		Seulki Park Hwanjun Song Daeho Um Dae Ung Jo Sangdoo Yun ...	2021/6/14
Class-attentive diffusion network for semi-supervised classification	Proceedings of the AAAI Conference on Artificial Intelligence	Jongin Lim Daeho Um Hyung Jin Chang Dae Ung Jo Jin Young Choi	2021/5/18
Associative variational auto-encoder with distributed latent spaces and associators	Proceedings of the AAAI Conference on Artificial Intelligence	Dae Ung Jo ByeongJu Lee Jongwon Choi Haanju Yoo Jin Young Choi	2020/4/3