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)

Confidence-Based Feature Imputation for Graphs with Partially Known Features. - Daeho Um; Jiwoong Park; Seulki Park; Jin Young Choi 002 (ICLR, 2023)

RoCOCO: Robust Benchmark MS-COCO to Stress-test Robustness of Image-Text Matching Models. - Seulki Park; Daeho Um; Hajung Yoon; Sanghyuk Chun; Sangdoo Yun; Jin Young Choi 002 (CoRR, 2023)

X-MAS: Extremely Large-Scale Multi-Modal Sensor Dataset for Outdoor Surveillance in Real Environments. - DongKi Noh 001; Changki Sung; Teayoung Uhm; Wooju Lee; Hyungtae Lim; Jaeseok Choi; Kyuewang Lee; Dasol Hong; Daeho Um; Inseop Chung; Hochul Shin; Min-Jung Kim 001; et al. (IEEE Robotics Autom. Lett., 2023)

RoCOCO: Robustness Benchmark of MS-COCO to Stress-Test Image-Text Matching Models. - Seulki Park; Daeho Um; Hajung Yoon; Sanghyuk Chun; Sangdoo Yun (ECCV Workshops (20), 2024)

MarUCOD: Unknown but Concerned Object Detection in Maritime Environments. - Hajung Yoon; Yoonji Lee; Hwijun Lee; Daeho Um; Hong Seok Choi; Jin Young Choi 002 (ICPR (17), 2024)

Unseen Road Type Detection in Road Networks for Intelligent Transportation Systems. - Daeho Um; Yuneil Yeo; Ji Won Yoon; Jin Young Choi 002 (ITSC, 2024)

Learnable Negative Proposals Using Dual-Signed Cross-Entropy Loss for Weakly Supervised Video Moment Localization. - Sunoh Kim; Daeho Um; Hyunjun Choi; Jin Young Choi 002 (ACM Multimedia, 2024)

Gene-Gene Relationship Modeling Based on Genetic Evidence for Single-Cell RNA-Seq Data Imputation. - Daeho Um; Ji Won Yoon; Seong-Jin Ahn 002; Yunha Yeo (NeurIPS, 2024)

Spreading Out-of-Distribution Detection on Graphs. - Daeho Um; Jongin Lim 002; Sunoh Kim; Yuneil Yeo; Yoonho Jung (ICLR, 2025)

Relation-Aware Diffusion for Heterogeneous Graphs with Partially Observed Features. - Daeho Um; Yoonji Lee; Jiwoong Park; Seulki Park; Yuneil Yeo; Seong-Jin Ahn 002 (ICLR, 2025)

The Butterfly Effect: Color-Guided Image Generation From Unconditional Diffusion Models. - Yunha Yeo; Daeho Um (IEEE Access, 2025)

Enhancing Weakly Supervised Video Grounding via Diverse Inference Strategies for Boundary and Prediction Selection. - Sunoh Kim; Daeho Um (CoRR, 2025)

Can AI Recognize the Style of Art? Analyzing Aesthetics through the Lens of Style Transfer. - Yunha Yeo; Daeho Um (CoRR, 2025)

Leveraging Generative AI Models to Explore Human Identity. - Yunha Yeo; Daeho Um (CoRR, 2025)