Good Papers

Showing papers from Koç University 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
78%Highly rated
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NeurIPS 2026Independent ResearcherKoçValeoKocAnomaly detection

Progressive Risk Estimation for Accident Anticipation

PRE-ACT models accident risk as a continuously evolving signal that increases approaching crashes, enforcing temporal ordering and distance awareness to suppress false alarms and improve anticipation performance.

Samet Hicsonmez, Eray Çakar, Nermin Samet, Fatma Guney

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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11/20 AI panelreviewers recommend it

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AI panel: 11 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 0/5
80%Must read
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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