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Showing papers from Hacettepe University Computer Vision Lab Show all papers

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NeurIPS 2026EPFLKoçImperial College LondonHacettepe University Computer ViVision backbones

Task-Induced Riemannian Metrics for Vision Transformer Feature Spaces

Task-induced Riemannian metrics define ViT feature geometry via decoder Jacobians, and a learnable low-rank approximation enables accurate geometric token pruning without fine-tuning.

Andrew Bond, Ege E Özlü, Tuna Çimen, Ilkin U Melanlioglu and 3 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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14/20 AI panelreviewers recommend it

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AI panel: 14 of 20 reviewers recommend it
lenient 3/5
medium 9/10
strict 2/5
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NeurIPS 2026KocKoçUCL/AdobeAdobe ResearchHacettepe University Computer ViControllable generation

Auteur: Language-Driven Cinematographic Framing for Human-Centric Video Generation

Auteur introduces a human-centric DSL and virtual director to generate language-driven camera trajectories for human-centered video synthesis, outperforming existing methods on framing metrics.

Muhammed Burak Kızıl, Enes Sanli, Niloy Mitra, Xuelin Chen and 3 more

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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12/20 AI panelreviewers recommend it

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 1/5