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cs.CV2026
Latent Equivariant Operators for Robust Object Recognition: Promises and Challenges
Minh Dinh, Stéphane Deny
Despite the successes of deep learning in computer vision, difficulties persist in recognizing objects that have undergone group-symmetric transformations rarely seen during traini…
cs.CV2025
ViewFusion: Learning Composable Diffusion Models for Novel View Synthesis
Bernard Spiegl, Andrea Perin, Stéphane Deny +1
Deep learning is providing a wealth of new approaches to the problem of novel view synthesis, from Neural Radiance Field (NeRF) based approaches to end-to-end style architectures.…
cs.CV2025
A comparison between humans and AI at recognizing objects in unusual poses
Netta Ollikka, Amro Abbas, Andrea Perin +2
Deep learning is closing the gap with human vision on several object recognition benchmarks. Here we investigate this gap for challenging images where objects are seen in unusual p…