Research Interests

• LiDAR Object Detection & Tracking
• Semi/self-supervised Learning
• Autonomous Driving

Education

• Ph.D. Student in Artificial Intelligence, DGIST, Aug 2024 – present

Publication

• Jin-hee Lee*, Jae-keun Lee*, Je-seok Kim, and Soon Kwon, “Power of Cooperative Supervision: Multiple Teachers Framework for Enhanced 3D Semi-Supervised Object Detection”, Arxiv, 2024. (under review)
• Jin-hee Lee*, Jae-keun Lee*, Je-seok Kim, and Soon Kwon, “3DSimDet: Simple yet Effective Semi-Supervised 3D Object Detector for Autonomous Driving”, IEEE Intelligent Vehicles Symposium (IV), June 2024.
• Jae-keun Lee*, Jin-hee Lee*, Joohyun Lee, Soon Kwon, and Heechul Jung, “Re-VoxelDet: Rethinking Neck and Head Architectures for High-Performance Voxel-Based 3D Detection”, Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Jan 2024.
• Joohyun Lee, Jin-hee Lee, Jae-keun Lee, Je-seok Kim, Soon Kwon, and Sangdong Kim, “Dual Adaptive Data Augmentation for 3D Detection”, International Conference on Information and Communication Technology Convergence (ICTC), July 2023.
• Jin-hee Lee, Jae-keun Lee, Joohyun Lee, Je-seok Kim, and Soon Kwon, “Efficient 3D Object Detection Models and Evaluation Method for Autonomous Driving”, IEEE Intelligent Vehicles Symposium (IV), June 2023.

Scholarship & Awards

• Honorable Mention, Argoverse 3D Multi-Object Tracking Challenge at CVPR WAD, 2023.