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Daehee Park

Orcid: 0000-0002-3961-6932

Affiliations:
  • Daegu Gyeongbuk Institute of Science and Technology (DGIST), Department of Electrical Engineering and Computer Science, Intelligent Systems and Learning (ISL) Lab, Daegu, South Korea
  • Korea Advanced Institute of Science and Technology (KAIST), Department of Mechanical Engineering, Daejeon, South Korea (PhD 2025)


According to our database1, Daehee Park authored at least 13 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
CascadeOcc: Rethinking 3D Occupancy World Models With Cascaded VQ Representations.
[BibTeX]
[DOI]
Kyumin Hwang
,
Wonhyeok Choi
,
Jaeyeul Kim
,
Jihun Park
,
Daehee Park
,
Sunghoon Im
IEEE Signal Process. Lett., 2026

2025
Non-differentiable Reward Optimization for Diffusion-based Autonomous Motion Planning.
[BibTeX]
[DOI]
Giwon Lee
,
Daehee Park
,
Jaewoo Jeong
,
Kuk-Jin Yoon
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

Generative Active Learning for Long-Tail Trajectory Prediction via Controllable Diffusion Model.
[BibTeX]
[DOI]
Daehee Park
,
Monu Surana
,
Pranav Desai
,
Ashish Mehta
,
Reuben MV John
,
Kuk-Jin Yoon
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Interaction-Merged Motion Planning: Effectively Leveraging Diverse Motion Datasets for Robust Planning.
[BibTeX]
[DOI]
Giwon Lee
,
Wooseong Jeong
,
Daehee Park
,
Jaewoo Jeong
,
Kuk-Jin Yoon
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Multi-modal Knowledge Distillation-based Human Trajectory Forecasting.
[BibTeX]
[DOI]
Jaewoo Jeong
,
Seohee Lee
,
Daehee Park
,
Giwon Lee
,
Kuk-Jin Yoon
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Diffusion-Guided Weakly Supervised Semantic Segmentation.
[BibTeX]
[DOI]
Sung-Hoon Yoon
,
Hoyong Kwon
,
Jaeseok Jeong
,
Daehee Park
,
Kuk-Jin Yoon
Proceedings of the Computer Vision - ECCV 2024, 2024

T4P: Test-Time Training of Trajectory Prediction via Masked Autoencoder and Actor-Specific Token Memory.
[BibTeX]
[DOI]
Daehee Park
,
Jaeseok Jeong
,
Sung-Hoon Yoon
,
Jaewoo Jeong
,
Kuk-Jin Yoon
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Multi-Agent Long-Term 3D Human Pose Forecasting via Interaction-Aware Trajectory Conditioning.
[BibTeX]
[DOI]
Jaewoo Jeong
,
Daehee Park
,
Kuk-Jin Yoon
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Improving Transferability for Cross-Domain Trajectory Prediction via Neural Stochastic Differential Equation.
[BibTeX]
[DOI]
Daehee Park
,
Jaewoo Jeong
,
Kuk-Jin Yoon
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Leveraging Future Relationship Reasoning for Vehicle Trajectory Prediction.
[BibTeX]
[DOI]
Daehee Park
,
Hobin Ryu
,
Yunseo Yang
,
Jegyeong Cho
,
Jiwon Kim
,
Kuk-Jin Yoon
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
BIPS: Bi-modal Indoor Panorama Synthesis via Residual Depth-Aided Adversarial Learning.
[BibTeX]
[DOI]
Changgyoon Oh
,
Wonjune Cho
,
Yujeong Chae
,
Daehee Park
,
Lin Wang
,
Kuk-Jin Yoon
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Identifying Reflected Images From Object Detector in Indoor Environment Utilizing Depth Information.
[BibTeX]
[DOI]
Daehee Park
,
Yong-Hwa Park
IEEE Robotics Autom. Lett., 2021

Unlocking the Potential of Ordinary Classifier: Class-specific Adversarial Erasing Framework for Weakly Supervised Semantic Segmentation.
[BibTeX]
[DOI]
Hyeokjun Kweon
,
Sung-Hoon Yoon
,
Hyeonseong Kim
,
Daehee Park
,
Kuk-Jin Yoon
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021


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