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cs.CV2026
RBF-GNN: Rational Basis Functions for Pseudo-Coordinate based Graph Convolutions
Paweł Batorski, Abtin Pourhadi, Paul Swoboda
We propose RBF-GNN, a new pseudo-coordinate based graph neural network architecture that takes into account Euclidean, spherical or angular coordinates and uses them to induce a po…
cs.CV2025
How Many Tokens Do 3D Point Cloud Transformer Architectures Really Need?
Tuan Anh Tran, Duy M. H. Nguyen, Hoai-Chau Tran +7
Recent advances in 3D point cloud transformers have led to state-of-the-art results in tasks such as semantic segmentation and reconstruction. However, these models typically rely…
cs.CV2025
Normalized Matching Transformer
Abtin Pourhadi, Paul Swoboda
We introduce the Normalized Matching Transformer (NMT), a deep learning approach for efficient and accurate sparse semantic keypoint matching between image pairs. NMT consists of a…