3 citations · 4 across the 3 of their papers we have counts for
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cs.CV2024
Semi-Supervised Domain Adaptation Using Target-Oriented Domain Augmentation for 3D Object Detection
Yecheol Kim, Junho Lee, Changsoo Park +4
3D object detection is crucial for applications like autonomous driving and robotics. However, in real-world environments, variations in sensor data distribution due to sensor upgr…
cs.CV2024★ 1 cited
Fine-Grained Pillar Feature Encoding Via Spatio-Temporal Virtual Grid for 3D Object Detection
Konyul Park, Yecheol Kim, Junho Koh +2
Developing high-performance, real-time architectures for LiDAR-based 3D object detectors is essential for the successful commercialization of autonomous vehicles. Pillar-based meth…
cs.CV2021★ 3 cited
Joint 3D Object Detection and Tracking Using Spatio-Temporal Representation of Camera Image and LiDAR Point Clouds
Junho Koh, Jaekyum Kim, Jinhyuk Yoo +3
In this paper, we propose a new joint object detection and tracking (JoDT) framework for 3D object detection and tracking based on camera and LiDAR sensors. The proposed method, re…