Daehee Park

20 papers A* 6A 1Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
CascadeOcc: Rethinking 3D Occupancy World Models With Cascaded VQ Representations.
IEEE Signal Process. Lett.
Kyumin Hwang, Wonhyeok Choi, Jaeyeul Kim, Jihun Park, Daehee Park, Sunghoon Im
2025 J jnl
Generative Active Learning for Long-tail Trajectory Prediction via Controllable Diffusion Model.
CoRR
Daehee Park, Monu Surana, Pranav Desai, Ashish Mehta, Reuben MV John, Kuk-Jin Yoon
2025 J jnl
Interaction-Merged Motion Planning: Effectively Leveraging Diverse Motion Datasets for Robust Planning.
CoRR
Giwon Lee, Wooseong Jeong, Daehee Park, Jaewoo Jeong, Kuk-Jin Yoon
2025 A* conf
Multi-modal Knowledge Distillation-based Human Trajectory Forecasting.
CVPR
Jaewoo Jeong, Seohee Lee, Daehee Park, Giwon Lee, Kuk-Jin Yoon
2025 J jnl
Multi-modal Knowledge Distillation-based Human Trajectory Forecasting.
CoRR
Jaewoo Jeong, Seohee Lee, Daehee Park, Giwon Lee, Kuk-Jin Yoon
2025 A conf
Non-differentiable Reward Optimization for Diffusion-based Autonomous Motion Planning.
IROS
Giwon Lee, Daehee Park, Jaewoo Jeong, Kuk-Jin Yoon
2025 J jnl
Non-differentiable Reward Optimization for Diffusion-based Autonomous Motion Planning.
CoRR
Giwon Lee, Daehee Park, Jaewoo Jeong, Kuk-Jin Yoon
2024 — conf
Diffusion-Guided Weakly Supervised Semantic Segmentation.
ECCV (48)
Sung-Hoon Yoon, Hoyong Kwon, Jaeseok Jeong, Daehee Park, Kuk-Jin Yoon
2024 A* conf
Improving Transferability for Cross-Domain Trajectory Prediction via Neural Stochastic Differential Equation.
AAAI
Daehee Park, Jaewoo Jeong, Kuk-Jin Yoon
2024 A* conf
Multi-Agent Long-Term 3D Human Pose Forecasting via Interaction-Aware Trajectory Conditioning.
CVPR
Jaewoo Jeong, Daehee Park, Kuk-Jin Yoon
2024 J jnl
Multi-agent Long-term 3D Human Pose Forecasting via Interaction-aware Trajectory Conditioning.
CoRR
Jaewoo Jeong, Daehee Park, Kuk-Jin Yoon
2024 A* conf
T4P: Test-Time Training of Trajectory Prediction via Masked Autoencoder and Actor-Specific Token Memory.
CVPR
Daehee Park, Jaeseok Jeong, Sung-Hoon Yoon, Jaewoo Jeong, Kuk-Jin Yoon
2024 J jnl
T4P: Test-Time Training of Trajectory Prediction via Masked Autoencoder and Actor-specific Token Memory.
CoRR
Daehee Park, Jaeseok Jeong, Sung-Hoon Yoon, Jaewoo Jeong, Kuk-Jin Yoon
2023 J jnl
Improving Transferability for Cross-domain Trajectory Prediction via Neural Stochastic Differential Equation.
CoRR
Daehee Park, Jaewoo Jeong, Kuk-Jin Yoon
2023 A* conf
Leveraging Future Relationship Reasoning for Vehicle Trajectory Prediction.
ICLR
Daehee Park, Hobin Ryu, Yunseo Yang, Jegyeong Cho, Jiwon Kim, Kuk-Jin Yoon
2023 J jnl
Leveraging Future Relationship Reasoning for Vehicle Trajectory Prediction.
CoRR
Daehee Park, Hobin Ryu, Yunseo Yang, Jegyeong Cho, Jiwon Kim, Kuk-Jin Yoon
2022 — conf
BIPS: Bi-modal Indoor Panorama Synthesis via Residual Depth-Aided Adversarial Learning.
ECCV (16)
Changgyoon Oh, Wonjune Cho, Yujeong Chae, Daehee Park, Lin Wang, Kuk-Jin Yoon
2021 J jnl
BIPS: Bi-modal Indoor Panorama Synthesis via Residual Depth-aided Adversarial Learning.
CoRR
Changgyoon Oh, Wonjune Cho, Daehee Park, Yujeong Chae, Lin Wang, Kuk-Jin Yoon
2021 J jnl
Identifying Reflected Images From Object Detector in Indoor Environment Utilizing Depth Information.
IEEE Robotics Autom. Lett.
Daehee Park, Yong-Hwa Park
2021 A* conf
Unlocking the Potential of Ordinary Classifier: Class-specific Adversarial Erasing Framework for Weakly Supervised Semantic Segmentation.
ICCV
Hyeokjun Kweon, Sung-Hoon Yoon, Hyeonseong Kim, Daehee Park, Kuk-Jin Yoon