Enhanced Off-Policy Reinforcement Learning With Focused Experience Replay. - Seung-Hyun Kong; I Made Aswin Nahrendra; Dong-Hee Paek (IEEE Access, 2021)

Mixer-based lidar lane detection network and dataset for urban roads. - Dong-Hee Paek; Seung-Hyun Kong; Kevin Tirta Wijaya (CoRR, 2021)

K-Lane: Lidar Lane Dataset and Benchmark for Urban Roads and Highways. - Dong-Hee Paek; Seung-Hyung Kong; Kevin Tirta Wijaya (CVPR Workshops, 2022)

Multiview Attention for 3D Object Detection in Lidar Point Cloud. - Kevin Tirta Wijaya; Dong-Hee Paek; Seung-Hyun Kong (ICAIIC, 2022)

Row-wise LiDAR Lane Detection Network with Lane Correlation Refinement. - Dong-Hee Paek; Kevin Tirta Wijaya; Seung-Hyun Kong (ITSC, 2022)

K-Radar: 4D Radar Object Detection for Autonomous Driving in Various Weather Conditions. - Dong-Hee Paek; Seung-Hyun Kong; Kevin Tirta Wijaya (NeurIPS, 2022)

K-Radar: 4D Radar Object Detection Dataset and Benchmark for Autonomous Driving in Various Weather Conditions. - Dong-Hee Paek; Seung-Hyun Kong; Kevin Tirta Wijaya (CoRR, 2022)

Enhanced K-Radar: Optimal Density Reduction to Improve Detection Performance and Accessibility of 4D Radar Tensor-based Object Detection. - Dong-Hee Paek; Seung-Hyun Kong; Kevin Tirta Wijaya (IV, 2023)

RTNH+: Enhanced 4D Radar Object Detection Network using Combined CFAR-based Two-level Preprocessing and Vertical Encoding. - Seung-Hyun Kong; Dong-Hee Paek; Sang Jae Cho (CoRR, 2023)

Efficient 4D Radar Data Auto-labeling Method using LiDAR-based Object Detection Network. - Min-Hyeok Sun; Dong-Hee Paek; Seung-Hyun Song; Seung-Hyun Kong (IV, 2024)

See the Unseen: Grid-Wise Drivable Area Detection Dataset and Network Using LiDAR. - Christofel Rio Goenawan; Dong-Hee Paek; Seung-Hyun Kong (Remote. Sens., 2024)

Advanced Feature Learning on Point Clouds Using Multi-Resolution Features and Learnable Pooling. - Kevin Tirta Wijaya; Dong-Hee Paek; Seung-Hyun Kong (Remote. Sens., 2024)

BOC-FPDNet: BOC First Arrival Path Detection in Multipath Channel for GNSS Positioning. - Sang Jae Cho; Dong-Hee Paek; Hong-Woo Seok; Seung-Hyun Kong (IEEE Trans. Intell. Veh., 2024)

SwiftPCN: Fast, implementation-efficient, and accurate point cloud completion network with flexible output resolution. - Kevin Tirta Wijaya; Dong-Hee Paek; Seung-Hyun Kong (Neurocomputing, 2025)

Open-Source Autonomous Driving Software Platforms: Comparison of Autoware and Apollo. - Hee-Yang Jung; Dong-Hee Paek; Seung-Hyun Kong (CoRR, 2025)

SpikingRTNH: Spiking Neural Network for 4D Radar Object Detection. - Dong-Hee Paek; Seung-Hyun Kong (CoRR, 2025)

Bayesian Approximation-Based Trajectory Prediction and Tracking with 4D Radar. - Dong-In Kim; Dong-Hee Paek; Seung-Hyun Song; Seung-Hyun Kong (CoRR, 2025)

4DR P2T: 4D Radar Tensor Synthesis with Point Clouds. - Woo-Jin Jung; Dong-Hee Paek; Seung-Hyun Kong (CoRR, 2025)

A Novel Multi-Teacher Knowledge Distillation for Real-Time Object Detection using 4D Radar. - Seung-Hyun Song; Dong-Hee Paek; Minh-Quan Dao; Ezio Malis; Seung-Hyun Kong (CoRR, 2025)

RTNH+: Enhanced 4D Radar Object Detection Network Using Two-Level Preprocessing and Vertical Encoding. - Seung-Hyun Kong; Dong-Hee Paek; Sangyeong Lee (IEEE Trans. Intell. Veh., 2025)

4D Radar Ground Truth Augmentation with LiDAR-to-4D Radar Data Synthesis. - Woo-Jin Jung; Dong-Hee Paek; Seung-Hyun Kong (CoRR, 2025)

Availability-aware Sensor Fusion via Unified Canonical Space for 4D Radar, LiDAR, and Camera. - Dong-Hee Paek; Seung-Hyun Kong (CoRR, 2025)

Efficient On-Chip Implementation of 4D Radar-Based 3D Object Detection on Hailo-8L. - Woong-Chan Byun; Dong-Hee Paek; Seung-Hyun Song; Seung-Hyun Kong (CoRR, 2025)

A Survey on Deep Learning-Based Lane Detection Algorithms for Camera and LiDAR. - Min-Hyeok Sun; Seung-Hyun Kong; Dong-Hee Paek (IEEE Trans. Intell. Transp. Syst., 2025)