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NeurIPS 2026IMAGINE - ENPCU BordeauxENPC ParisTechSelf-supervised vision

Revisiting Cross-View Completion: Self-Supervised Pre-Training via Reconstruction Error Comparison

Gekko uses relative reconstruction error between cross-view and masked-autoencoder predictions as a self-supervised co-visibility proxy, adding binocular training signals that consistently outperform CroCo on 3D vision tasks while training directly from raw video.

Thibaut Loiseau, Guillaume Bourmaud, Vincent Lepetit

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026

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lenient 3/5
medium 10/10
strict 2/5
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NeurIPS 2026École Nationale des Ponts ParisTENPCEcole Nationale des Ponts et ChaENPC ParisTechPose & motion

Articulation in Prime: Primitive-Based Articulated Object Understanding from a Single Casual Video

A primitive-fitting framework recovers articulated object kinematics from single casual videos via joint optimization of part segmentation and joint parameters under occlusions.

Arslan Artykov, Tom Ravaud, Nicolás Violante, Vincent Lepetit

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 10 of 20 reviewers recommend it
lenient 4/5
medium 6/10
strict 0/5