4 papers
Lift, Associate, and Fuse: A Decision-Centric Framework for 2D-to-3D Foundation Model Transfer
Wentao Sun, Yiping Chen, John S. Zelek +1
Methods that transfer predictions from two-dimensional foundation models into three-dimensional segmentation are commonly grouped by task or representation. Those groupings obscure…
CDSeg: A Renderable Gaussian Carrier for Image-to-3D Label Transfer
Wentao Sun, Yiping Chen, Zhengsen Xu +2
Modern image models provide strong cues about \emph{what} should be segmented in each view, but their masks do not by themselves determine \emph{where} those labels should persist…
Out-of-Length Scene Text Recognition: A Two-Axis Diagnosis and a Training-Free Fix
Zobeir Raisi, John Zelek
Scene Text Recognition (STR) models are trained almost exclusively on word crops of at most 25 characters, yet real deployments (signage, product labels, dense captions) require re…
SAGOnline: Segment Any Gaussians Online
Wentao Sun, Quanyun Wu, Hanqing Xu +7
3D Gaussian Splatting has emerged as a powerful paradigm for explicit 3D scene representation, yet achieving efficient and consistent 3D segmentation remains challenging. Existing…