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Journal Articles
- 2025
[j7]Kevin Tirta Wijaya, Dong-Hee Paek
, Seung-Hyun Kong:
SwiftPCN: Fast, implementation-efficient, and accurate point cloud completion network with flexible output resolution. Neurocomputing 624: 129387 (2025)- [j6]Min-Hyeok Sun, Seung-Hyun Kong, Dong-Hee Paek:
A Survey on Deep Learning-Based Lane Detection Algorithms for Camera and LiDAR. IEEE Trans. Intell. Transp. Syst. 26(6): 7319-7342 (2025) - [j5]Seung-Hyun Kong, Dong-Hee Paek, Sangyeong Lee:
RTNH+: Enhanced 4D Radar Object Detection Network Using Two-Level Preprocessing and Vertical Encoding. IEEE Trans. Intell. Veh. 10(2): 1427-1440 (2025) - 2024
- [j4]Kevin Tirta Wijaya, Dong-Hee Paek, Seung-Hyun Kong:
Advanced Feature Learning on Point Clouds Using Multi-Resolution Features and Learnable Pooling. Remote. Sens. 16(11): 1835 (2024) - [j3]Christofel Rio Goenawan, Dong-Hee Paek, Seung-Hyun Kong:
See the Unseen: Grid-Wise Drivable Area Detection Dataset and Network Using LiDAR. Remote. Sens. 16(20): 3777 (2024) - [j2]Sang Jae Cho, Dong-Hee Paek, Hong-Woo Seok, Seung-Hyun Kong:
BOC-FPDNet: BOC First Arrival Path Detection in Multipath Channel for GNSS Positioning. IEEE Trans. Intell. Veh. 9(9): 5581-5594 (2024) - 2021
- [j1]Seung-Hyun Kong, I Made Aswin Nahrendra, Dong-Hee Paek:
Enhanced Off-Policy Reinforcement Learning With Focused Experience Replay. IEEE Access 9: 93152-93164 (2021)
Conference and Workshop Papers
- 2024
- [c6]Min-Hyeok Sun, Dong-Hee Paek, Seung-Hyun Song, Seung-Hyun Kong:
Efficient 4D Radar Data Auto-labeling Method using LiDAR-based Object Detection Network. IV 2024: 2616-2621 - 2023
- [c5]Dong-Hee Paek, Seung-Hyun Kong, Kevin Tirta Wijaya:
Enhanced K-Radar: Optimal Density Reduction to Improve Detection Performance and Accessibility of 4D Radar Tensor-based Object Detection. IV 2023: 1-6 - 2022
- [c4]Dong-Hee Paek, Seung-Hyung Kong, Kevin Tirta Wijaya:
K-Lane: Lidar Lane Dataset and Benchmark for Urban Roads and Highways. CVPR Workshops 2022: 4449-4458 - [c3]Kevin Tirta Wijaya, Dong-Hee Paek, Seung-Hyun Kong:
Multiview Attention for 3D Object Detection in Lidar Point Cloud. ICAIIC 2022: 210-215 - [c2]Dong-Hee Paek, Kevin Tirta Wijaya, Seung-Hyun Kong:
Row-wise LiDAR Lane Detection Network with Lane Correlation Refinement. ITSC 2022: 4328-4334 - [c1]Dong-Hee Paek, Seung-Hyun Kong, Kevin Tirta Wijaya:
K-Radar: 4D Radar Object Detection for Autonomous Driving in Various Weather Conditions. NeurIPS 2022
Informal and Other Publications
- 2025
- [i15]Hee-Yang Jung, Dong-Hee Paek, Seung-Hyun Kong:
Open-Source Autonomous Driving Software Platforms: Comparison of Autoware and Apollo. CoRR abs/2501.18942 (2025) - [i14]Dong-Hee Paek, Seung-Hyun Kong:
SpikingRTNH: Spiking Neural Network for 4D Radar Object Detection. CoRR abs/2502.00074 (2025) - [i13]Dong-In Kim, Dong-Hee Paek, Seung-Hyun Song, Seung-Hyun Kong:
Bayesian Approximation-Based Trajectory Prediction and Tracking with 4D Radar. CoRR abs/2502.01357 (2025) - [i12]Woo-Jin Jung, Dong-Hee Paek, Seung-Hyun Kong:
4DR P2T: 4D Radar Tensor Synthesis with Point Clouds. CoRR abs/2502.05550 (2025) - [i11]Seung-Hyun Song, Dong-Hee Paek, Minh-Quan Dao, Ezio Malis, Seung-Hyun Kong:
A Novel Multi-Teacher Knowledge Distillation for Real-Time Object Detection using 4D Radar. CoRR abs/2502.06114 (2025) - [i10]Woo-Jin Jung, Dong-Hee Paek, Seung-Hyun Kong:
4D Radar Ground Truth Augmentation with LiDAR-to-4D Radar Data Synthesis. CoRR abs/2503.03637 (2025) - [i9]Dong-Hee Paek, Seung-Hyun Kong:
Availability-aware Sensor Fusion via Unified Canonical Space for 4D Radar, LiDAR, and Camera. CoRR abs/2503.07029 (2025) - [i8]Woong-Chan Byun, Dong-Hee Paek, Seung-Hyun Song, Seung-Hyun Kong:
Efficient On-Chip Implementation of 4D Radar-Based 3D Object Detection on Hailo-8L. CoRR abs/2505.00757 (2025) - 2024
- [i7]Min-Hyeok Sun, Dong-Hee Paek, Seung-Hyun Song, Seung-Hyun Kong:
Efficient 4D Radar Data Auto-labeling Method using LiDAR-based Object Detection Network. CoRR abs/2407.04709 (2024) - 2023
- [i6]Dong-Hee Paek, Seung-Hyun Kong, Kevin Tirta Wijaya:
Enhanced K-Radar: Optimal Density Reduction to Improve Detection Performance and Accessibility of 4D Radar Tensor-based Object Detection. CoRR abs/2303.06342 (2023) - [i5]Seung-Hyun Kong, Dong-Hee Paek, Sang Jae Cho:
RTNH+: Enhanced 4D Radar Object Detection Network using Combined CFAR-based Two-level Preprocessing and Vertical Encoding. CoRR abs/2310.17659 (2023) - 2022
- [i4]Kevin Tirta Wijaya, Dong-Hee Paek, Seung-Hyun Kong:
Advanced Feature Learning on Point Clouds using Multi-resolution Features and Learnable Pooling. CoRR abs/2205.09962 (2022) - [i3]Dong-Hee Paek, Seung-Hyun Kong, Kevin Tirta Wijaya:
K-Radar: 4D Radar Object Detection Dataset and Benchmark for Autonomous Driving in Various Weather Conditions. CoRR abs/2206.08171 (2022) - [i2]Dong-Hee Paek, Kevin Tirta Wijaya, Seung-Hyun Kong:
Row-wise LiDAR Lane Detection Network with Lane Correlation Refinement. CoRR abs/2210.08745 (2022) - 2021
- [i1]Dong-Hee Paek, Seung-Hyun Kong, Kevin Tirta Wijaya:
Mixer-based lidar lane detection network and dataset for urban roads. CoRR abs/2110.11048 (2021)
Coauthor Index
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last updated on 2025-09-25 00:21 CEST by the dblp team
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