| 2025 | AVSS | Enhancing Weakly Supervised Video Grounding via Diverse Inference Strategies for Boundary and Prediction Selection. | Sunoh Kim, Daeho Um |
| 2025 | ICLR | Spreading Out-of-Distribution Detection on Graphs. | Daeho Um, Jongin Lim, Sunoh Kim, Yuneil Yeo, Yoonho Jung |
| 2025 | ICLR | Relation-Aware Diffusion for Heterogeneous Graphs with Partially Observed Features. | Daeho Um, Yoonji Lee, Jiwoong Park, Seulki Park, Yuneil Yeo, Seong-Jin Ahn |
| 2025 | ICML | PRIME: Deep Imbalanced Regression with Proxies. | Jongin Lim, Sucheol Lee, Daeho Um, Sung-Un Park, Jinwoo Shin |
| 2025 | ICML | Propagate and Inject: Revisiting Propagation-Based Feature Imputation for Graphs with Partially Observed Features. | Daeho Um, Sunoh Kim, Jiwoong Park, Jongin Lim, Seong-Jin Ahn, Seulki Park |
| 2024 | ECCV | RoCOCO: Robustness Benchmark of MS-COCO to Stress-Test Image-Text Matching Models. | Seulki Park, Daeho Um, Hajung Yoon, Sanghyuk Chun, Sangdoo Yun |
| 2024 | ICPR | MarUCOD: Unknown but Concerned Object Detection in Maritime Environments. | Hajung Yoon, Yoonji Lee, Hwijun Lee, Daeho Um, Hong Seok Choi, Jin Young Choi |
| 2023 | ICLR | Confidence-Based Feature Imputation for Graphs with Partially Known Features. | Daeho Um, Jiwoong Park, Seulki Park, Jin Young Choi |
| 2021 | AAAI | Class-Attentive Diffusion Network for Semi-Supervised Classification. | Jongin Lim, Daeho Um, Hyung Jin Chang, Dae Ung Jo, Jin Young Choi |