Publications

Pix2NPHM: Learning to Regress NPHM Reconstructions From a Single Image

Simon Giebenhain, Tobias Kirschstein, Liam Schoneveld, Davide Davoli, Zhe Chen, Matthias Nießner
ECCV 2026

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SHeaP: Self-Supervised Head Geometry Predictor Learned via 2D Gaussians

Liam Schoneveld, Zhe Chen, Davide Davoli, Jiapeng Tang, Saimon Terazawa, Ko Nishino, Matthias Nießner
ICCV 2025

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GAF: Gaussian Avatar Reconstruction From Monocular Videos via Multi-view Diffusion

Jiapeng Tang, Davide Davoli, Tobias Kirschstein, Liam Schoneveld, Matthias Nießner
CVPR 2025

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GaussianAvatars: Photorealistic Head Avatars With Rigged 3D Gaussians

Shenhan Qian, Tobias Kirschstein, Liam Schoneveld, Davide Davoli, Simon Giebenhain, Matthias Nießner
CVPR 2024

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Towards a General Deep Feature Extractor for Facial Expression Recognition

Liam Schoneveld, Alice Othmani
IEEE ICIP 2021

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Leveraging Recent Advances in Deep Learning for Audio-Visual Emotion Recognition

Liam Schoneveld, Alice Othmani, Hazem Abdelkawy
Pattern Recognition Letters (2021)

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Semi-Supervised Learning With Generative Adversarial Networks

Liam Schoneveld
Master's Thesis, University of Amsterdam (2017)

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