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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.CV2024
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…
cs.CV2024
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.…