2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CV2025
Multi-view dense image matching with similarity learning and geometry priors
Mohamed Ali Chebbi, Ewelina Rupnik, Paul Lopes +1
We introduce MV-DeepSimNets, a comprehensive suite of deep neural networks designed for multi-view similarity learning, leveraging epipolar geometry for training. Our approach inco…
cs.CV2023★ 2 cited
DeepSim-Nets: Deep Similarity Networks for Stereo Image Matching
Mohamed Ali Chebbi, Ewelina Rupnik, Marc Pierrot-Deseilligny +1
We present three multi-scale similarity learning architectures, or DeepSim networks. These models learn pixel-level matching with a contrastive loss and are agnostic to the geometr…