Seokha Moon
shmoon96[at]korea[dot]ac[dot]kr

Hi!đ Iâm a Ph.D. Student at Korea University, Vision & AI lab (Advisor: Prof. Jinkyu Kim). I earned a Bachelorâs degree in Computer Science from Yonsei University.
My research interests lie in the field of Autonomous Robots đ¤ and Autonomous Driving đ. Recently, I have been focusing on camera-based perception tasks in autonomous driving, including 3D detection and occupancy prediction. I also explored trajectory prediction with an emphasis on modeling interactions between agents, using vision-driven text guidance as supervision to inform the model of relevant contextual cues needed to understand each agentâs situation.
Currently, I am particularly interested in Vision-Language Navigation for autonomous robots and End-to-End frameworks for autonomous driving.
news
Mar 28, 2025 | đźđ Our paper âMitigating Trade-off: Stream and Query-guided Aggregation for Efficient and Effective 3D Occupancy Predictionâ has been released on arXiv! The work was done during my internship at NAVER LABS. |
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Sep 02, 2024 | đź Started a research internship at NAVER LABS, focusing on real-time 3D occupancy prediction for autonomous driving. |
Aug 06, 2024 | đ⨠Our paper âWho Should Have Been Focused: Transferring Attention-based Knowledge from Future Observations for Trajectory Predictionâ has been accepted to ICPR 2024! |
Jul 04, 2024 | đ⨠Our paper âVisionTrap: Vision-Augmented Trajectory Prediction Guided by Textual Descriptionsâ has been accepted to ECCV 2024! |
Jan 29, 2024 | đ⨠Our paper âLearning Temporal Cues by Predicting Objects Move for Multi-camera 3D Object Detectionâ has been accepted to ICRA 2024! |