
TimeTraveler: Temporal Strategy Planning with Time Dictionary for Streaming Video Understanding
Neural Information Processing Systems (NeurIPS), 2026
Paper (soon)Code (soon)
Ph.D. student in Artificial Intelligence · Kyung Hee University
NowVisiting researcher at UIUC, Prof. James M. Rehg's lab, working closely with Dr. Junho Kim · Sept 2026 – Mar 2027
I am a Ph.D. student in Artificial Intelligence at Kyung Hee University, advised by Prof. Seong-Tae Kim in the AugMented Intelligence (AMI) Laboratory. My research focuses on video-language understanding, with a particular interest in long-form and streaming videos that involve extended temporal contexts.
A central theme of my work is memory-augmented video understanding: how models can retain, structure, and retrieve visual evidence over long temporal contexts. I study this problem through dense video captioning and video question answering, where models need to localize relevant events and reason over temporally distributed information.
Looking ahead, I hope to extend video understanding toward more realistic and interactive settings, such as egocentric video and embodied/VLA scenarios, where perception can eventually support action.

Neural Information Processing Systems (NeurIPS), 2026
Paper (soon)Code (soon)




European Conference on Computer Vision (ECCV), 2026




AAAI Conference on Artificial Intelligence (AAAI), 2025




IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024