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Pouyan Navard I'm a computer vision engineer at Path Robotics Inc. working on the perception stack for robot learning applications. I did my PhD at The Ohio State University, where I was advised by Alper Yilmaz. During my PhD I focused on self-supervised representation learning on 3D volumetric images. I've received the Robert E. Altenhofen Memorial Award. |
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ResearchI am currently researching on multi modal video gneration models. |
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KnobGen: Controlling the Sophistication of Artwork in Sketch-Based Diffusion Models
Pouyan Navard, Amin Karimi Monsefi, Mengxi Zhou, Wei-Lun Chao, Alper Yilmaz, Rajiv Ramnath CVPR 2025, CVEU Workshop Project Page / arXiv We introduce KnobGen, a dual-pathway framework that bridges the gap between novice sketches and expert-level image generation. Our system dynamically balances fine-grained detail and high-level control using adjustable modules, high-quality results from any sketch. |
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SegFormer3D: an Efficient Transformer for 3D Medical Image Segmentation
Shehan Pererra, Pouyan Navard, Alper Yilmaz CVPR 2024, DEF-AI-MIA Workshop Project Page / CVF SegFormer3D redefines 3D medical image segmentation with a lightweight hierarchical Transformer that rivals state-of-the-art models. By blending multi-scale volumetric attention with an all-MLP decoder, we achieve competitive accuracy while slashing parameter counts and compute needs. |
Miscellanea |
Micropapers |
ERDES: A Benchmark Video Dataset in Ocular Ultrasound @ (HuggingFace🤗)
A Probabilistic-based Drift Correction Module for Visual Inertial SLAMs (arXiv) |
Academic Service |
Reviewer for CVPR, ECCV, ICCV, ICLR, AVSS, ACCV, SIBGRAPI (2023-2025) |
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Design and source code from Jon Barron's website. |