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cs.CV2026
SBP-Net: Learning Thin Structure Reconstruction with Sliding-Box Projections
Ofir Gilad, Andrei Sharf
Reconstructing thin 3D structures is challenging due to their sparsity, scale variation, and complex geometry. Such structures arise in a wide range of domains, including medical i…
cs.CV2022
VNT-Net: Rotational Invariant Vector Neuron Transformers
Hedi Zisling, Andrei Sharf
Learning 3D point sets with rotational invariance is an important and challenging problem in machine learning. Through rotational invariant architectures, 3D point cloud neural net…