Backbone Cannot 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 002; Jin Young Choi 002 (AAAI, 2019)

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 002; Jin Young Choi 002 (CoRR, 2019)

Cross-modal Variational Auto-encoder with Distributed Latent Spaces and Associators. - Dae Ung Jo; Byeongju Lee; Jongwon Choi; Haanju Yoo; Jin Young Choi 002 (CoRR, 2019)

Associative Variational Auto-Encoder with Distributed Latent Spaces and Associators. - Dae Ung Jo; Byeongju Lee; Jongwon Choi; Haanju Yoo; Jin Young Choi 002 (AAAI, 2020)

Class-Attentive Diffusion Network for Semi-Supervised Classification. - Jongin Lim 002; Daeho Um; Hyung Jin Chang; Dae Ung Jo; Jin Young Choi 002 (AAAI, 2021)

Over-Fit: Noisy-Label Detection based on the Overfitted Model Property. - Seulki Park; Dae Ung Jo; Jin Young Choi 002 (CoRR, 2021)

Congestion-Aware Bayesian Loss for Crowd Counting. - Jiyeoup Jeong; Jongwon Choi; Dae Ung Jo; Jin Young Choi 002 (IEEE Access, 2022)

How Much a Model be Trained by Passive Learning Before Active Learning? - Dae Ung Jo; Sangdoo Yun; Jin Young Choi 002 (IEEE Access, 2022)

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 (NeurIPS, 2023)

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 002 (IEEE Access, 2024)

Active Learning for Finely-Categorized Image-Text Retrieval by Selecting Hard Negative Unpaired Samples. - Dae Ung Jo; Kyuewang Lee; Jaeho Chung; Jin Young Choi 002 (CoRR, 2024)

Generating visual-adaptive audio representation for audio recognition. - Jongsu Youn; Dae Ung Jo; Seungmo Seo; Sukhyun Kim; Jongwon Choi (Pattern Recognit. Lett., 2025)