Daehee Park - RankMe

20 papers A* 6A 1Journal 11Unranked 2

Year	Rank	Type	Title / 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