Aiger, D.[Dror]
* 2008: Geodesic Active Contours with Combined Shape and Appearance Priors
* 2009: GPU-based Algorithm For Approximately Finding The Largest Common Point Set In The Plane Under Similarity Transformation, A
* 2010: Approximate input sensitive algorithms for point pattern matching
* 2010: phase only transform for unsupervised surface defect detection, The
* 2011: Efficient Robust Digital Hyperplane Fitting with Bounded Error
* 2013: Random Grids: Fast Approximate Nearest Neighbors and Range Searching for Image Search
* 2021: Efficient Large Scale Inlier Voting for Geometric Vision Problems
* 2023: SCOOP: Self-Supervised Correspondence and Optimization-Based Scene Flow
* 2023: Yes, we CANN: Constrained Approximate Nearest Neighbors for local feature-based visual localization
9 for Aiger, D.
Aigerman, N.[Noam]
* 2020: Coupling Explicit and Implicit Surface Representations for Generative 3d Modeling
* 2020: Neural Cages for Detail-Preserving 3D Deformations
* 2021: DECOR-GAN: 3D Shape Detailization by Conditional Refinement
* 2021: Joint Learning of 3D Shape Retrieval and Deformation
* 2021: Learning Delaunay Surface Elements for Mesh Reconstruction
* 2021: Neural Surface Maps
* 2021: Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlases
* 2022: GLASS: Geometric Latent Augmentation for Shape Spaces
* 2022: Neural Convolutional Surfaces
* 2022: PatchRD: Detail-Preserving Shape Completion by Learning Patch Retrieval and Deformation
* 2023: DA Wand: Distortion-Aware Selection Using Neural Mesh Parameterization
11 for Aigerman, N.