1 citations · 1 across the 2 of their papers we have counts for
4 papers
Ctx2TrajGen: Traffic Context-Aware Microscale Vehicle Trajectories using Generative Adversarial Imitation Learning
Joobin Jin, Seokjun Hong, Gyeongseon Baek +2
Precise modeling of microscopic vehicle trajectories is critical for traffic behavior analysis and autonomous driving systems. We propose Ctx2TrajGen, a context-aware trajectory ge…
KeyRe-ID: Keypoint-Guided Person Re-Identification using Part-Aware Representation in Videos
Jinseong Kim, Jeonghoon Song, Gyeongseon Baek +1
We propose \textbf{KeyRe-ID}, a keypoint-guided video-based person re-identification framework consisting of global and local branches that leverage human keypoints for enhanced sp…
Objectomaly: Objectness-Aware Refinement for OoD Segmentation with Structural Consistency and Boundary Precision
Jeonghoon Song, Sunghun Kim, Jaegyun Im +1
Out-of-Distribution (OoD) segmentation is critical for safety-sensitive applications like autonomous driving. However, existing mask-based methods often suffer from boundary imprec…
DRIFT open dataset: A drone-derived intelligence for traffic analysis in urban environment
Hyejin Lee, Seokjun Hong, Jeonghoon Song +7
Reliable traffic data are essential for understanding urban mobility and developing effective traffic management strategies. This study introduces the DRone-derived Intelligence Fo…