4 papers
Efficient Test-Time Optimization for Depth Completion via Low-Rank Decoder Adaptation
Minseok Seo, Wonjun Lee, Jaehyuk Jang +1
Zero-shot depth completion has gained attention for its ability to generalize across environments without sensor-specific datasets or retraining. However, most existing approaches…
Station2Radar: query conditioned gaussian splatting for precipitation field
Doyi Kim, Minseok Seo, Changick Kim
Precipitation forecasting relies on heterogeneous data. Weather radar is accurate, but coverage is geographically limited and costly to maintain. Weather stations provide accurate…
Upsample Anything: A Simple and Hard to Beat Baseline for Feature Upsampling
Minseok Seo, Mark Hamilton, Changick Kim
We present \textbf{Upsample Anything}, a lightweight test-time optimization (TTO) framework that restores low-resolution features to high-resolution, pixel-wise outputs without any…
BEEP3D: Box-Supervised End-to-End Pseudo-Mask Generation for 3D Instance Segmentation
Youngju Yoo, Seho Kim, Changick Kim
3D instance segmentation is crucial for understanding complex 3D environments, yet fully supervised methods require dense point-level annotations, resulting in substantial annotati…