Hankyu Moon

According to our database, Hankyu Moon authored at least 18 papers between 2000 and 2026.

Collaborative distances:

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

2026

Query-Aware Flow Diffusion for Graph-Based RAG with Retrieval Guarantees.

Zhuoping Zhou, Davoud Ataee Tarzanagh, Sima Didari, Wenjun Hu, Baruch Gutow, Oxana Verkholyak, Masoud Faraki, Heng Hao, Hankyu Moon, Seungjai Min

CoRR, May, 2026

2025

PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning.

Heng Hao, Wenjun Hu, Oxana Verkholyak, Davoud Ataee Tarzanagh, Baruch Gutow, Sima Didari, Masoud Faraki, Hankyu Moon, Seungjai Min

Proceedings of the IEEE International Conference on Big Data, 2025

2024

Bayesian Active Learning for Semantic Segmentation.

Sima Didari, Wenjun Hu, Jae Oh Woo, Heng Hao, Hankyu Moon, Seungjai Min

CoRR, 2024

Improving Instruction Following in Language Models through Proxy-Based Uncertainty Estimation.

JoonHo Lee, Jae Oh Woo, Juree Seok, Parisa Hassanzadeh, Wooseok Jang, JuYoun Son, Sima Didari, Baruch Gutow, Heng Hao, Hankyu Moon, Wenjun Hu, Yeong-Dae Kwon, Taehee Lee, Seungjai Min

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Unsupervised Accuracy Estimation of Deep Visual Models using Domain-Adaptive Adversarial Perturbation without Source Samples.

JoonHo Lee, Jae Oh Woo, Hankyu Moon, Kwonho Lee

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Unsupervised Contrastive Representation Learning for 3D Mesh Segmentation (Student Abstract).

Ayaan Haque, Hankyu Moon, Heng Hao, Sima Didari, Jae Oh Woo, Patrick Bangert

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Self-Supervised Contrastive Representation Learning for 3D Mesh Segmentation.

Ayaan Haque, Hankyu Moon, Heng Hao, Sima Didari, Jae Oh Woo, Patrick Bangert

CoRR, 2022

2021

PatchNet: Unsupervised Object Discovery based on Patch Embedding.

Hankyu Moon, Heng Hao, Sima Didari, Jae Oh Woo, Patrick Bangert

CoRR, 2021

Highly Efficient Representation and Active Learning Framework for Imbalanced Data and its Application to COVID-19 X-Ray Classification.

Heng Hao, Sima Didari, Jae Oh Woo, Hankyu Moon, Patrick Bangert

CoRR, 2021

2019

Accelerating Framework for Simultaneous Optimization of Model Architectures and Training Hyperparameters.

Youngjoon Choi, Jongwon Choi, Hankyu Moon, Jaeyoung Lee, Jin-Yeop Chang

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2008

3D Shape-Encoded Particle Filter for Object Tracking and Its Application to Human Body Tracking.

Hankyu Moon, Rama Chellappa

EURASIP J. Image Video Process., 2008

2007

A Unified Streaming Architecture for Real Time Face Detection and Gender Classification.

Kevin M. Irick, Michael DeBole, Vijaykrishnan Narayanan, Rajeev Sharma, Hankyu Moon, Satish Mummareddy

Proceedings of the FPL 2007, 2007

2004

Estimating facial pose from a sparse representation.

Hankyu Moon, M. L. Miller

Proceedings of the 2004 International Conference on Image Processing, 2004

2002

Optimal edge-based shape detection.

Hankyu Moon, Rama Chellappa, Azriel Rosenfeld

IEEE Trans. Image Process., 2002

Performance analysis of a simple vehicle detection algorithm.

Hankyu Moon, Rama Chellappa, Azriel Rosenfeld

Image Vis. Comput., 2002

2001

Tracking of human activities using shape-encoded particle propagation.

Hankyu Moon, Rama Chellappa, Azriel Rosenfeld

Proceedings of the 2001 International Conference on Image Processing, 2001

3D Object Tracking Using Shape-Encoded Particle Propagation.

Hankyu Moon, Rama Chellappa, Azriel Rosenfeld

Proceedings of the Eighth International Conference On Computer Vision (ICCV-01), Vancouver, British Columbia, Canada, July 7-14, 2001, 2001

2000

Optimal Shape Detection.

Hankyu Moon, Rama Chellappa, Azriel Rosenfeld

Proceedings of the 2000 International Conference on Image Processing, 2000