Park, Daehee

10 publications

ICCV 2025 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

ICCV 2025 Interaction-Merged Motion Planning: Effectively Leveraging Diverse Motion Datasets for Robust Planning Giwon Lee, Wooseong Jeong, Daehee Park, Jaewoo Jeong, Kuk-Jin Yoon

CVPR 2025 Multi-Modal Knowledge Distillation-Based Human Trajectory Forecasting Jaewoo Jeong, Seohee Lee, Daehee Park, Giwon Lee, Kuk-Jin Yoon

ECCV 2024 Diffusion-Guided Weakly Supervised Semantic Segmentation Sung-Hoon Yoon, Hoyong Kwon, Jaeseok Jeong, Daehee Park, Kuk-Jin Yoon

AAAI 2024 Improving Transferability for Cross-Domain Trajectory Prediction via Neural Stochastic Differential Equation Daehee Park, Jaewoo Jeong, Kuk-Jin Yoon

CVPR 2024 Multi-Agent Long-Term 3D Human Pose Forecasting via Interaction-Aware Trajectory Conditioning Jaewoo Jeong, Daehee Park, Kuk-Jin Yoon

CVPR 2024 T4P: Test-Time Training of Trajectory Prediction via Masked Autoencoder and Actor-Specific Token Memory Daehee Park, Jaeseok Jeong, Sung-Hoon Yoon, Jaewoo Jeong, Kuk-Jin Yoon

ICLR 2023 Leveraging Future Relationship Reasoning for Vehicle Trajectory Prediction Daehee Park, Hobin Ryu, Yunseo Yang, Jegyeong Cho, Jiwon Kim, Kuk-Jin Yoon

ECCV 2022 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

ICCV 2021 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