Amirhossein Kazerouni

Research Intern @SamsungResearch | CS PhD Student @UofT & @VectorInst

[Amirhossein Kazerouni @amirkz99]

Excited to share our latest work on adaptive test-time scaling for VLMs. Great collaboration with an amazing team! 🚀

[Armen Jeddi @armen_jeddi]

🚀 New paper: AVIS: Adaptive Visual Inference Scaling for Vision-Language Models
Most test-time scaling methods for vision-language models optimize a single axis of compute: either scale visual context or perform more reasoning rollouts.
AVIS jointly adapts both. It allocates compute across visual context scaling and visual reasoning scaling on a per-query basis, combining efficient visual token pruning with adaptive reasoning search.
📊 Across diverse image and video reasoning benchmarks, AVIS achieves a better accuracy–compute trade-off than methods that scale only visual context or only reasoning, while remaining deployment-friendly through shared-prefill inference and KV-cache reuse.
Vision-language inference is not just about seeing more or thinking longer. AVIS learns when to do each.
📄 Paper: https://t.co/KIJ2E7EMCw
🌐 Website: https://t.co/Y7x7qtD0a6

Amazing teamwork with @amirkz99 @karaimer @CSProfKGD @Babak_Taati

[Amirhossein Kazerouni @amirkz99]

9/ Project page:
https://t.co/ThOKAV6PDp

Paper:
https://t.co/ERrQXYjdNv

#ComputerVision #ImageRestoration #DiffusionModels #FaceRestoration #CVPR2026

[Amirhossein Kazerouni @amirkz99]

1/ Presenting 𝐅𝐚𝐜𝐞2𝐒𝐜𝐞𝐧𝐞 at #CVPR2026! 🎉

📍 Poster Session: ExHall A & F 117
🗓 June 5, Friday
⏰ 4:00 PM – 6:00 PM MDT

@TristanAA97 will present the poster. If you are interested in image restoration, diffusion models, or face-guided restoration, please stop by!

[Amirhossein Kazerouni @amirkz99]

8/ This work was done during my internship at @samsungresearch.

Grateful to all my amazing collaborators: Maitreya Suin, @TristanAA97, Sina Honari, Amanpreet Walia, Iqbal Mohomed, @CSProfKGD, @Babak_Taati, and Alex Levinshtein.

[توماج صالحی🌋 @OfficialToomaj]

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