Daeho Um

According to our database, Daeho Um authored at least 19 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Finding Optimal Video Moment without Training: Gaussian Boundary Optimization for Weakly Supervised Video Grounding.

Sunoh Kim, Kimin Yun, Daeho Um

CoRR, February, 2026

Cross-Modal Feature Distillation via Sample-Aware Adaptive Masking.

Dae Ung Jo, Daeho Um

IEEE Access, 2026

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

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

Yunha Yeo, Daeho Um

IEEE Access, 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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

PRIME: Deep Imbalanced Regression with Proxies.

Jongin Lim, Sucheol Lee, Daeho Um, Sung-Un Park, Jinwoo Shin

Proceedings of the Forty-second International Conference on Machine Learning, 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

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

Sunoh Kim, Daeho Um

Proceedings of the IEEE International Conference on Advanced Visual and Signal-Based Systems, 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 37: 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, Taeyoung 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