Daeho Um

According to our database, Daeho Um authored at least 15 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Leveraging Generative AI Models to Explore Human Identity.

Yunha Yeo, Daeho Um

CoRR, May, 2025

Can AI Recognize the Style of Art? Analyzing Aesthetics through the Lens of Style Transfer.

Yunha Yeo, Daeho Um

CoRR, April, 2025

Enhancing Weakly Supervised Video Grounding via Diverse Inference Strategies for Boundary and Prediction Selection.

Sunoh Kim, Daeho Um

CoRR, March, 2025

The Butterfly Effect: Color-Guided Image Generation From Unconditional Diffusion Models.

Yunha Yeo, Daeho Um

IEEE Access, 2025

Relation-Aware Diffusion for Heterogeneous Graphs with Partially Observed Features.

Daeho Um, Yoonji Lee, Jiwoong Park, Seulki Park, Yuneil Yeo, Seong-Jin Ahn

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Spreading Out-of-Distribution Detection on Graphs.

Daeho Um, Jongin Lim, Sunoh Kim, Yuneil Yeo, Yoonho Jung

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Unseen Road Type Detection in Road Networks for Intelligent Transportation Systems.

Daeho Um, Yuneil Yeo, Ji Won Yoon, Jin Young Choi

Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

MarUCOD: Unknown but Concerned Object Detection in Maritime Environments.

Hajung Yoon, Yoonji Lee, Hwijun Lee, Daeho Um, Hong Seok Choi, Jin Young Choi

Proceedings of the Pattern Recognition - 27th International Conference, 2024

RoCOCO: Robustness Benchmark of MS-COCO to Stress-Test Image-Text Matching Models.

Seulki Park, Daeho Um, Hajung Yoon, Sanghyuk Chun, Sangdoo Yun

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

2023

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, Min-Jung Kim, Hyoung-Rock Kim, SeungMin Baek, Hyun Myung

IEEE Robotics Autom. Lett., 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

CoRR, 2023

Confidence-Based Feature Imputation for Graphs with Partially Known Features.

Daeho Um, Jiwoong Park, Seulki Park, Jin Young Choi

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2021

Class-Attentive Diffusion Network for Semi-Supervised Classification.

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

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021