Duncan Zauss — accepted AI-conference papers

2026

LuxRemix: Lighting Decomposition and Remixing for Indoor Scenes

Ruofan Liang, Norman Müller, Ethan Weber, Duncan Zauss, Nandita Vijaykumar, Peter Kontschieder +1

CVPR 2026

We present a novel approach for interactive light editing in indoor scenes from a single multi-view scene capture. Our method leverages a generative image-based light decomposition model that factorizes complex indoor scene illumination into its constituent light sources. This factorization enables

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2021

Keypoint Communities

Duncan Zauss, Sven Kreiss, Alexandre Alahi

ICCV 2021poster

We present a fast bottom-up method that jointly detects over 100 keypoints on humans or objects, also referred to as human/object pose estimation. We model all keypoints belonging to a human or an object --the pose-- as a graph and leverage insights from community detection to quantify the independe…

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