Enhancing Weakly Supervised Video Grounding via Diverse Inference Strategies for Boundary and Prediction Selection
Sunoh Kim, Daeho Um†
International Conference on Advanced Video and Signal-Based Surveillance (AVSS 2025)

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
International Conference on Machine Learning (ICML 2025) [Top-tier ML Conference]

PRIME: Deep Imbalanced Regression with Proxies
Jongin Lim, Sucheol Lee, Daeho Um, Sung-Un Park, Jinwoo Shin
International Conference on Machine Learning  (ICML 2025) [Top-tier ML Conference]

Leveraging Generative AI Models to Explore Human Identity
Yunha Yeo, Daeho Um†
International Symposium on Electronic Art (ISEA 2025)

Can AI Recognize the Style of Art? Analyzing Aesthetics through the Lens of Style Transfer
Yunha Yeo, Daeho Um†
International Symposium on Electronic Art (ISEA 2025)

Spreading Out-of-Distribution Detection on Graphs
Daeho Um†, Jongin Lim, Sunoh Kim, Yuneil Yeo, Yoonho Jung
International Conference on Learning Representations (ICLR 2025) [Top-tier ML Conference]

Relation-Aware Diffussion for Heterogeneous Graphs with Partially Observed Features
Daeho Um†, Yoonji Lee, Jiwoong Park, Seulki Park, Yuneil Yeo, Seong Jin Ahn
International Conference on Learning Representations (ICLR 2025) [Top-tier ML Conference]

The Butterfly Effect: Color-Guided Image Generation from Unconditional Diffusion Models
Yunha Yeo, Daeho Um†
IEEE Access

Gene-Gene Relationship Modeling Based on Genetic Evidence for Single-Cell RNA-Seq Data Imputation
Daeho Um†, Ji Won Yoon, Seong Jin Ahn, Yunha Yeo
Conference on Neural Information Processing Systems (NeurIPS 2024) [Top-tier ML Conference]

MarUCOD: Unknown but Concerned Object Detection in Maritime Environments
Hajung Yoon, Yoonji Lee, Hwijun Lee, Daeho Um, Hong Seok Choi, Jin Young Choi
International Conference on Pattern Recognition (ICPR 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
ACM International Conference on Multimedia (ACM MM 2024)

RoCOCO: Robustness Benchmark of MS-COCO to Stress-test Image-Text Matching Models
Seulki Park, Daeho Um, Hajung Yoon, Sanghyuk Chun, Sangdoo Yun, Jin Young Choi
European Conference on Computer Vision (ECCV 2024) Workshop on Synthetic Data for Computer Vision

Unseen Road Type Detection in Road Networks for Intelligent Transportation Systems
Daeho Um†, Yuneil Yeo, Ji Won Yoon, Jin Young Choi
IEEE International Conference on Intelligent Transportation Systems (ITSC 2024)

Confidence-Based Feature Imputation for Graphs with Partially Known Features
Daeho Um, Jiwoong Park, Seulki Park, Jin Young Choi
International Conference on Learning Representations (ICLR 2023) [Top-tier ML Conference]

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:2106.07217v4

X-MAS: Extremely Large-Scale Multi-Modal Sensor Dataset for Outdoor Surveillance in Real Environments
DongKi Noh, Changki Sung, Teayoung Uhm, WooJu Lee, Hyungtae Lim, Jaeseok Choi, Kyuewang Lee, Dasol Hong, Daeho Um, Inseop Chung, Hochul Shin, MinJung Kim, Hyoung-Rock Kim, SeungMin Baek, Hyun Myung
IEEE Robotics and Automation Letters (RA-L)

Multi-modal Object Detection, Tracking, and Action Classification for Unmanned Outdoor Surveillance Robots
Kyuewang Lee, Inseop Chung, Daeho Um, Jaeseok Choi, Yeji Song, Seunghyeon Seo, Nojun Kwak, Jin Young Choi
International Conference on Control, Automation and Systems (ICCAS 2021)

Class-Attentive Diffusion Network for Semi-Supervised Classification
Jongin Lim, Daeho Um, Hyung Jin Chang, Dae Ung Jo, Jin Young Choi
Association for the Advancement of Artificial Intelligence Conference on Artificial Intelligence (AAAI 2021)