International Publications

[c13] Generative Active Learning for Long-tail Trajectory Prediction via Controllable Diffusion Model
Daehee Park, Monu Surana, Pranav Desai, Ashish Mehta, Reuben MV John, Kuk-Jin Yoon
International Conference on Computer Vision (ICCV), 2025
(Collaboration with Qualcomm, US)

[c12] Interaction-Merged Motion Planning: Effectively Leveraging Diverse Motion Datasets for Robust Planning
Giwon Lee, Wooseong Jeong, Daehee Park, Jaewoo Jeong, Kuk-Jin Yoon
International Conference on Computer Vision (ICCV), Highlight ✨, 2025

[c11] Non-differentiable Reward Optimization for Diffusion-based Autonomous Motion Planning
Giwon Lee*, Daehee Park*, Jaewoo Jeong*, Kuk-Jin Yoon
International Conference on Intelligent Robots and Systems (IROS), 2025

[c10] Multi-modal Knowledge Distillation-based Human Trajectory Forecasting
Jaewoo Jeong, SeoHee Lee, Daehee Park, Giwon Lee, Kuk-Jin Yoon
Conference on Computer Vision and Pattern Recognition (CVPR), 2025

[p1] Self-Supervised 3D Occupancy Prediction with Temporal Consistency
Jae-Seok Jeong, Sung-Hoon Yoon, Daehee Park, Kuk-Jin Yoon
preprint, 2024

[c9] Diffusion-Guided Weakly Supervised Semantic Segmentation
Sung-Hoon Yoon, Hoyong Kwon*, Jaeseok Jeong*, Daehee Park, and Kuk-Jin Yoon
European Conference on Computer Vision (ECCV), 2024

[c8] T4P: Test-Time Training of Trajectory Prediction via Masked Autoencoder and Actor-specific Token Memory
Daehee Park, Jae-Seok Jeong, Sung-Hoon Yoon, Jaewoo Jeong, Kuk-Jin Yoon
Conference on Computer Vision and Pattern Recognition (CVPR), 2024

[c7] Multi-agent Long-term 3D Human Pose Forecasting via Interaction-aware Trajectory Conditioning
Jaewoo Jeong*, Daehee Park*, Kuk-Jin Yoon
Conference on Computer Vision and Pattern Recognition (CVPR), Highlight ✨, 2024
(Top 2.81% of all papers)
(🏆 Winner, Qualcomm Innovation Fellowship Korea (QIFK))

[c6] Improving Transferability for Cross-domain Trajectory Prediction via Neural Stochastic Differential Equation
Daehee Park, Jaewoo Jeong, Kuk-Jin Yoon
AAAI Conference on Artificial Intelligence (AAAI), 2024

[c5] Leveraging Future Relationship Reasoning for Vehicle Trajectory Prediction
Daehee Park, Hobin Ryu, Yunseo Yang, Jegyeong Cho, Jiwon Kim, Kuk-Jin Yoon
International Conference on Learning Representations (ICLR), 2023
(1st rank in nuScenes prediction challenge)
(Collaboration with Naver Labs)

[c4] BIPS: Bi-modal Indoor Panorama Synthesis via Residual Depth-Aided Adversarial Learning
Changgyoon Oh*, Wonjune Cho*, Yujeong Chae*, Daehee Park*, Lin Wang, Kuk-Jin Yoon
European Conference on Computer Vision (ECCV), 2022

[c3] Unlocking the Potential of Ordinary Classifier: Class-specific Adversarial Erasing Framework for Weakly Supervised Semantic Segmentation
Hyeokjun Kweon*, Sung-Hoon Yoon*, Hyeonseong Kim, Daehee Park, Kuk-Jin Yoon
Proceedings of the IEEE/CVF international conference on computer vision (ICCV), 2021 

[j1,c2] Identifying Reflected Images from Object Detector in Indoor Environment Utilizing Depth Information
Daehee Park, Yong-Hwa Park
IEEE Robotics and Automation Letters (RA-L) & IEEE International Conference on Robotics and Automation (ICRA), 2020

[c1] A Scanning 3D Sensor and Its Object Recognition for Autonomous Robots
Joon-Oh Shin, In-Gyu Jang, Dae-Hee Park, Yong-Hwa Park
SPIE MOEMS and Miniaturized Systems XVIII, 2019