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ORCIDDae Ung Jo
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2026
[j6]Dae Ung Jo
, Daeho Um:
Cross-Modal Feature Distillation via Sample-Aware Adaptive Masking. IEEE Access 14: 56128-56137 (2026)- 2025
- [j5]Jeonghyo Song, Kimin Yun, Dae Ung Jo, Jinyoung Kim, Youngjoon Yoo:
Multi-Agent Visual Reasoning for Out-of-Distribution Detection in Complex Road Environments. IEEE Access 13: 188198-188216 (2025) - [j4]Jongsu Youn, Dae Ung Jo, Seungmo Seo, Sukhyun Kim, Jongwon Choi:
Generating visual-adaptive audio representation for audio recognition. Pattern Recognit. Lett. 192: 65-71 (2025) - [c7]Dae Ung Jo, Kyuewang Lee, Jaeho Chung:
Active Learning for Finely-Categorized Image-Text Retrieval by Selecting Hard Negative Unpaired Samples. AVSS 2025: 1-6 - [c6]JinYoung Kim, DaeUng Jo, Kimin Yun, Jeonghyo Song, Youngjoon Yoo:
Distributional Uncertainty for Out-of-Distribution Detection. AVSS 2025: 1-6 - [c5]Jeonghyo Song, Kimin Yun, DaeUng Jo, Jinyoung Kim, Youngjoon Yoo:
CoT-Segmenter: Enhancing OOD Detection in Dense Road Scenes via Chain-of-Thought Reasoning. AVSS 2025: 1-6 - [i7]Jeonghyo Song, Kimin Yun, DaeUng Jo, Jinyoung Kim, Youngjoon Yoo:
CoT-Segmenter: Enhancing OOD Detection in Dense Road Scenes via Chain-of-Thought Reasoning. CoRR abs/2507.03984 (2025) - [i6]JinYoung Kim, DaeUng Jo, Kimin Yun, Jeonghyo Song, Youngjoon Yoo:
Distributional Uncertainty for Out-of-Distribution Detection. CoRR abs/2507.18106 (2025) - 2024
- [j3]Jaeho Chung, Seokho Cho, Hyunjun Choi, Daeung Jo, Yoonho Jung, Jin Young Choi:
C2I-CAT: Class-to-Image Cross Attention Transformer for Out-of-Distribution Detection. IEEE Access 12: 62793-62803 (2024) - [i5]Dae Ung Jo, Kyuewang Lee, Jaeho Chung, Jin Young Choi:
Active Learning for Finely-Categorized Image-Text Retrieval by Selecting Hard Negative Unpaired Samples. CoRR abs/2405.16301 (2024) - 2023
- [c4]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 - 2022
- [j2]Jiyeoup Jeong, Jongwon Choi, Dae Ung Jo, Jin Young Choi:
Congestion-Aware Bayesian Loss for Crowd Counting. IEEE Access 10: 8462-8473 (2022) - [j1]Dae Ung Jo, Sangdoo Yun, Jin Young Choi:
How Much a Model be Trained by Passive Learning Before Active Learning? IEEE Access 10: 34677-34689 (2022) - 2021
- [c3]Jongin Lim, Daeho Um, Hyung Jin Chang, Dae Ung Jo, Jin Young Choi:
Class-Attentive Diffusion Network for Semi-Supervised Classification. AAAI 2021: 8601-8609 - [i4]Seulki Park, Dae Ung Jo, Jin Young Choi:
Over-Fit: Noisy-Label Detection based on the Overfitted Model Property. CoRR abs/2106.07217 (2021) - 2020
- [c2]Dae Ung Jo, Byeongju Lee, Jongwon Choi, Haanju Yoo, Jin Young Choi:
Associative Variational Auto-Encoder with Distributed Latent Spaces and Associators. AAAI 2020: 11197-11204 - [i3]Jongin Lim, Daeho Um, Hyung Jin Chang, Dae Ung Jo, Jin Young Choi:
Class-Attentive Diffusion Network for Semi-Supervised Classification. CoRR abs/2006.10222 (2020)
2010 – 2019
- 2019
- [c1]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: 8859-8867 - [i2]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 abs/1901.06140 (2019) - [i1]Dae Ung Jo, Byeongju Lee, Jongwon Choi, Haanju Yoo, Jin Young Choi:
Cross-modal Variational Auto-encoder with Distributed Latent Spaces and Associators. CoRR abs/1905.12867 (2019)
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