C2I-CAT: Class-to-Image Cross Attention Transformer for Out-of-Distribution Detection

• JaeHo Chung, SeokHo Cho, HyunJun Choi, Dae Ung Jo, YoonHo Jung, Jin Young Choi

• IEEE Access, 2024. [Paper]

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

• Sujin Jang*, Dae Ung Jo*, Sung Ju Hwang, Dongwook Lee, Daehyun Ji (*: equally contributes)

• Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023. [Paper] [OpenReview] [Poster session]

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

• Dae Ung Jo, Sangdoo Yun, Jin Young Choi

• IEEE Access, 2022. [Paper]

Congestion-aware Bayesian Loss for Crowd Counting

• Jiyeoup Jeong, Jongwon Choi, Dae Ung Jo, Jin Young Choi

• IEEE Access, 2022. [Paper]

Class-Attentive Diffusion Network for Semi-supervised Classification

• Jongin Lim, Daeho Um, Hyung Jin Chang, Dae Ung Jo, Jin Young Choi

• 35th AAAI Conference on Artificial Intelligence (AAAI), 2021. [Paper]

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, Jin Young Choi

• arXiv, 2021. [Paper]

Associative Variational Auto-encoder with Distributed Latent Spaces and Associators

• Dae Ung Jo, ByeongJu Lee, Jongwon Choi, Haanju Yoo, Jin Young Choi

• 34th AAAI Conference on Artificial Intelligence (AAAI), 2020. [Paper] [Appendix] 

Backbone Can Not be Trained at Once: Rolling Back to Pre-trained Network for Person Re-Identification

• Youngmin Ro, Jongwon Choi, Dae Ung Jo, Byeongho Heo, Jongin Lim, Jin Young Choi

• 33rd AAAI Conference on Artificial Intelligence (AAAI), 2019. [Paper] [Project Page]

Real-time Scheme for 3-Dimensional Localizing and Tracking of People in Multiple Camera Settings

• Moonsub Byeon, Sangdoo Yun, Youngmin Ro, Dae Ung Jo, Kikyung Kim, Jin Young Choi

• International Conference on Control, Automation and Systems (ICCAS), 2017. [Paper]