Daeho Um

22 papers A* 8B 1Journal 10Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Finding Optimal Video Moment without Training: Gaussian Boundary Optimization for Weakly Supervised Video Grounding.
CoRR
Sunoh Kim, Kimin Yun, Daeho Um
2025 J jnl
Can AI Recognize the Style of Art? Analyzing Aesthetics through the Lens of Style Transfer.
CoRR
Yunha Yeo, Daeho Um
2025 B conf
Enhancing Weakly Supervised Video Grounding via Diverse Inference Strategies for Boundary and Prediction Selection.
AVSS
Sunoh Kim, Daeho Um
2025 J jnl
Enhancing Weakly Supervised Video Grounding via Diverse Inference Strategies for Boundary and Prediction Selection.
CoRR
Sunoh Kim, Daeho Um
2025 J jnl
Leveraging Generative AI Models to Explore Human Identity.
CoRR
Yunha Yeo, Daeho Um
2025 A* conf
PRIME: Deep Imbalanced Regression with Proxies.
ICML
Jongin Lim, Sucheol Lee, Daeho Um, Sung-Un Park, Jinwoo Shin
2025 A* conf
Propagate and Inject: Revisiting Propagation-Based Feature Imputation for Graphs with Partially Observed Features.
ICML
Daeho Um, Sunoh Kim, Jiwoong Park, Jongin Lim, Seong-Jin Ahn, Seulki Park
2025 A* conf
Relation-Aware Diffusion for Heterogeneous Graphs with Partially Observed Features.
ICLR
Daeho Um, Yoonji Lee, Jiwoong Park, Seulki Park, Yuneil Yeo, Seong-Jin Ahn
2025 A* conf
Spreading Out-of-Distribution Detection on Graphs.
ICLR
Daeho Um, Jongin Lim, Sunoh Kim, Yuneil Yeo, Yoonho Jung
2025 J jnl
The Butterfly Effect: Color-Guided Image Generation From Unconditional Diffusion Models.
IEEE Access
Yunha Yeo, Daeho Um
2024 A* conf
Gene-Gene Relationship Modeling Based on Genetic Evidence for Single-Cell RNA-Seq Data Imputation.
NeurIPS
Daeho Um, Ji Won Yoon, Seong-Jin Ahn, Yunha Yeo
2024 A* conf
Learnable Negative Proposals Using Dual-Signed Cross-Entropy Loss for Weakly Supervised Video Moment Localization.
ACM Multimedia
Sunoh Kim, Daeho Um, Hyunjun Choi, Jin Young Choi
2024 — conf
MarUCOD: Unknown but Concerned Object Detection in Maritime Environments.
ICPR (17)
Hajung Yoon, Yoonji Lee, Hwijun Lee, Daeho Um, Hong Seok Choi, Jin Young Choi
2024 — conf
RoCOCO: Robustness Benchmark of MS-COCO to Stress-Test Image-Text Matching Models.
ECCV Workshops (20)
Seulki Park, Daeho Um, Hajung Yoon, Sanghyuk Chun, Sangdoo Yun
2024 — conf
Unseen Road Type Detection in Road Networks for Intelligent Transportation Systems.
ITSC
Daeho Um, Yuneil Yeo, Ji Won Yoon, Jin Young Choi
2023 A* conf
Confidence-Based Feature Imputation for Graphs with Partially Known Features.
ICLR
Daeho Um, Jiwoong Park, Seulki Park, Jin Young Choi
2023 J jnl
Confidence-Based Feature Imputation for Graphs with Partially Known Features.
CoRR
Daeho Um, Jiwoong Park, Seulki Park, Jin Young Choi
2023 J jnl
RoCOCO: Robust Benchmark MS-COCO to Stress-test Robustness of Image-Text Matching Models.
CoRR
Seulki Park, Daeho Um, Hajung Yoon, Sanghyuk Chun, Sangdoo Yun, Jin Young Choi
2023 J jnl
X-MAS: Extremely Large-Scale Multi-Modal Sensor Dataset for Outdoor Surveillance in Real Environments.
IEEE Robotics Autom. Lett.
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
2022 J jnl
X-MAS: Extremely Large-Scale Multi-Modal Sensor Dataset for Outdoor Surveillance in Real Environments.
CoRR
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
2021 A* conf
Class-Attentive Diffusion Network for Semi-Supervised Classification.
AAAI
Jongin Lim, Daeho Um, Hyung Jin Chang, Dae Ung Jo, Jin Young Choi
2020 J jnl
Class-Attentive Diffusion Network for Semi-Supervised Classification.
CoRR
Jongin Lim, Daeho Um, Hyung Jin Chang, Dae Ung Jo, Jin Young Choi