| 2025 | CVPR | Multi-modal Knowledge Distillation-based Human Trajectory Forecasting. | Jaewoo Jeong, Seohee Lee, Daehee Park, Giwon Lee, Kuk-Jin Yoon |
| 2025 | ICCV | Interaction-Merged Motion Planning: Effectively Leveraging Diverse Motion Datasets for Robust Planning. | Giwon Lee, Wooseong Jeong, Daehee Park, Jaewoo Jeong, Kuk-Jin Yoon |
| 2025 | ICCV | 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 |
| 2025 | IROS | Non-differentiable Reward Optimization for Diffusion-based Autonomous Motion Planning. | Giwon Lee, Daehee Park, Jaewoo Jeong, Kuk-Jin Yoon |
| 2024 | AAAI | Improving Transferability for Cross-Domain Trajectory Prediction via Neural Stochastic Differential Equation. | Daehee Park, Jaewoo Jeong, Kuk-Jin Yoon |
| 2024 | CVPR | Multi-Agent Long-Term 3D Human Pose Forecasting via Interaction-Aware Trajectory Conditioning. | Jaewoo Jeong, Daehee Park, Kuk-Jin Yoon |
| 2024 | CVPR | 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 |
| 2024 | ECCV | Diffusion-Guided Weakly Supervised Semantic Segmentation. | Sung-Hoon Yoon, Hoyong Kwon, Jaeseok Jeong, Daehee Park, Kuk-Jin Yoon |
| 2023 | ICLR | Leveraging Future Relationship Reasoning for Vehicle Trajectory Prediction. | Daehee Park, Hobin Ryu, Yunseo Yang, Jegyeong Cho, Jiwon Kim, Kuk-Jin Yoon |
| 2022 | ECCV | 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 |
| 2022 | HCI | Method to Create a Metaverse Using Smartphone Data. | Daehee Park, Jeong Min Kim, Jingi Jung, Saemi Choi |
| 2021 | ACSSC | Sub-Chain Beam for mmWave Devices: A Trade-off between Power Saving and Beam Correspondence. | Jianhua Mo, Daehee Park, Boon Loong Ng, Vutha Va, Anum Ali, Chonghwa Seo, Jianzhong Charlie Zhang |
| 2021 | ICCV | 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 |
| 2020 | HCI | A Method for Increasing User Engagement with Voice Assistant System. | Daehee Park, Heesung Park, Scott Song |
| 2019 | HCI | Interactive Recommendation Model for Optimizing Data Visualization. | Jaeyong Lee, Daehee Park, Scott Song |
| 2019 | HCI | How Important Alarm Types for Situation Awareness at the Smart Factory? | Heesung Park, Daehee Park, Jeongpyo Lee |
| 2019 | HCI | The Hexagonal Spindle Model for Human Situation Awareness While Autonomous Driving. | Daehee Park, Wanchul Yoon |
| 2018 | HCI | Recording Your Stress, Can it Help to Prevent Job Stress? | Daehee Park, Seunghee Hwang, Serin Ko, Jeongpyo Lee, Jaeyong Lee |
| 2017 | PIMRC | Performance analysis of random linear network coding with relay selection. | Jinsol Park, Daehee Park, Dong-Ho Cho |
| 2016 | GLOBECOM | Repetitive Pulse Width Modulation Based Single-RF MIMO System with Compact 4-Port Antenna. | Daehee Park, Dong-Ho Cho |
| 2016 | PIMRC | Antenna selection based on mutual coupling and spatial correlation among integrated antennas for maximum energy efficiency. | Lakju Sung, Daehee Park, Dong-Ho Cho |
| 2016 | VTC | Switch Control Based Single-RF Transmitter for Multiplexing Gain. | Daehee Park, Dong-Ho Cho |
| 2005 | ICCSA | FSPN-Based Genetically Optimized Fuzzy Polynomial Neural Networks. | Sung-Kwun Oh, Seok-Beom Roh, Daehee Park, Yong-Kab Kim |
| 2005 | ISNN | Genetically Optimized Self-organizing Fuzzy Polynomial Neural Networks Based on Information Granulation. | Ho-Sung Park, Daehee Park, Sung-Kwun Oh |
| 2004 | ISNN | A New Approach to Self-Organizing Hybrid Fuzzy Polynomial Neural Networks: Synthesis of Computational Intelligence Technologies. | Ho-Sung Park, Sung-Kwun Oh, Witold Pedrycz, Daehee Park, Yong-Kab Kim |