Cuong Le, Pavlo Melnyk, Urs Waldmann, Mårten Wadenbäck, Bastian Wandt (2026). QuaMo: Quaternion Motions for Vision-based 3D Human Kinematics Capture. ICLR 2026.
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Pavlo Melnyk, Cuong Le, Urs Waldmann, Per-Erik Forssén, Bastian Wandt (2026). On the Role of Rotation Equivariance in Monocular 3D Human Pose Estimation. arXiv preprint.
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Pavlo Melnyk*, Anmar Karmush*, Ania Beatriz Rodríguez-Barrera, Mårten Wadenbäck, Michael Felsberg, Johanna Rosen, Jonas Björk* (2025). Equivariant Modelling for Catalysis on 2D MXenes. EurIPS 2025 Workshop on SIMBIOCHEM Spotlight (non-archival).
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Pavlo Melnyk (2024). Spherical NeurO($n$)s for Geometric Deep Learning. Linköping University Electronic Press.
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Pavlo Melnyk, Michael Felsberg, Mårten Wadenbäck, Andreas Robinson, Cuong Le (2024). O$n$ Learning Deep O$(n)$ Equivariant Hyperspheres. ICML 2024.
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Pavlo Melnyk, Andreas Robinson, Michael Felsberg, Mårten Wadenbäck (2024). TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Analysis. CVPR 2024.
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Qiyu Sun, Pavlo Melnyk, Michael Felsberg, Yang Tang (2023). Learning to Augment: Hallucinating Data for Domain Generalized Segmentation. arXiv preprint.
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Pavlo Melnyk, Mårten Wadenbäck, Michael Felsberg (2022). Steerable 3D Spherical Neurons. ICML 2022 Spotlight.
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Pavlo Melnyk, Mårten Wadenbäck, Michael Felsberg (2021). Embed Me If You Can: A Geometric Perceptron. ICCV 2021.
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Pavlo Melnyk, Zhiqiang You, Keqin Lin (2020). A High-Performance CNN Method for Offline Handwritten Chinese Character Recognition and Visualization. Soft Computing.
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