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Showing papers from University of Oxford and Five AI Ltd. (Bosch) Show all papers

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NeurIPS 2026U Oxford Torr Vision GroupVivo Tech Research GmbHU OxfordU Oxford and Five AI Ltd.VivoDatasets & benchmarks

SynthHair: Leveraging MetaHumans for a High-Quality 4K Hair Matting Dataset

Markus Karmann, Shile Li, Philip Torr, Puneet Dokania and 4 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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67%Highly rated
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NeurIPS 2026Five AIU OxfordBoschU Oxford and Five AI Ltd.Vision-language-action models

FIVE-VLA: Fast and EffectIVE Closed-Loop Autonomous Driving with Recurrent Action Memory

Kemal Oksuz, Alexandru Buburuzan, Yuhan Yao, Puneet Dokania

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026

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78%Highly rated
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NeurIPS 2026Department of Computer Science, Five AIU Oxford and Five AI Ltd.Vision-language-action models

Less Language, More Latents: Annotation-Efficient VLAs for Driving

LADA trains vision-language-action models using under 5% language annotations via latent action codebooks, achieving 87.98 driving scores on Bench2Drive.

Alexey Zakharov, Kemal Oksuz, Puneet Dokania

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · 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 5/10
strict 1/5