142 citations · 712 across the 76 of their papers we have counts for
Showing 2026 · cs.CVShow all
3 papers · 2 filters
cs.CV2026
OrTeN: Neural Inverse Graphics for Joint Terrain and Line-scan Camera Trajectory Reconstruction
Josef Biberstein, Sertac Karaman
Digital terrain maps (DTMs) are used for landing site selection, terrain-relative navigation, and geological analysis in planetary exploration. Existing state-of-practice reconstru…
cs.CV2026
GSR: Geometric Methods for Fast and Memory-Efficient Gaussian-based Surface Reconstruction
Dasong Gao, Vivienne Sze, Sertac Karaman
Few-view surface reconstruction recovers the visible surfaces of a scene from a few posed RGB images, providing the 3D models that robots need to explore and interact online. On mo…
cs.CV2026
Flow Matching with Uncertainty Quantification and Guidance
Juyeop Han, Lukas Lao Beyer, Sertac Karaman
Despite the remarkable success of sampling-based generative models such as flow matching, they can still produce samples of inconsistent or degraded quality. To assess sample relia…