5 papers
SPARK: Self-Play with Asymmetric Reward from Knowledge Graphs
Hyobin Park, Taeseop Kim, Dong-Geol Choi
Self-play reinforcement learning has shown strong performance in domains with formally verifiable structure, such as mathematics and coding, where both problem generation and rewar…
Rethinking Electro-Optical Vision Foundation Models for Remote Sensing Retrieval: A Controlled Comparison with Generalist VFM
Hyobin Park, Minseok Seo, Dong-Geol Choi
Vision foundation models have attracted significant attention for their ability to leverage large-scale unlabeled visual data. This advantage is particularly important in remote se…
AIS-LLM: A Unified Framework for Maritime Trajectory Prediction, Anomaly Detection, and Collision Risk Assessment with Explainable Forecasting
Hyobin Park, Jinwook Jung, Minseok Seo +4
With the increase in maritime traffic and the mandatory implementation of the Automatic Identification System (AIS), the importance and diversity of maritime traffic analysis tasks…
PBVS 2024 Solution: Self-Supervised Learning and Sampling Strategies for SAR Classification in Extreme Long-Tail Distribution
Yuhyun Kim, Minwoo Kim, Hyobin Park +2
The Multimodal Learning Workshop (PBVS 2024) aims to improve the performance of automatic target recognition (ATR) systems by leveraging both Synthetic Aperture Radar (SAR) data, w…
A Multi-In-Single-Out Network for Video Frame Interpolation without Optical Flow
Jaemin Lee, Minseok Seo, Sangwoo Lee +2
In general, deep learning-based video frame interpolation (VFI) methods have predominantly focused on estimating motion vectors between two input frames and warping them to the tar…