Postdoc
I am a postdoctoral researcher in the division for Computer Vision and Learning Systems (CVL). My research focuses on geometry, equivariant modelling, and applications of AI for Science. Here at CVL, I have earned my PhD in Electrical Engineering with a specialisation in Computer Vision, where I worked on Geometric Deep Learning under the supervision of Michael Felsberg and with funding from .
For more details about my work, please visit .
Pavlo Melnyk, Anmar Karmush, M氓rten Wadenb盲ck, Ania Beatriz Rodr铆guez-Barrera, Johanna Rosen, Michael Felsberg, Jonas Bj枚rk, Benchmark Dataset for Catalysis on 2D MXenes (2026)
Pavlo Melnyk, Cuong Le, Urs Waldmann, Per-Erik Forss茅n, Bastian Wandt, On the Role of Rotation Equivariance in Monocular 2D-to-3D Human Pose Lifting (2026)
Pavlo Melnyk, , Link枚ping Studies in Science and Technology. Dissertations 2393, Link枚ping University Electronic Press, Link枚ping (2024)
Pavlo Melnyk, Andreas Robinson, Michael Felsberg, M氓rten Wadenb盲ck, , Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). June 2024, IEEE Conference on Computer Vision and Pattern Recognition, pp. 5620-5630, IEEE Computer Society (2024)
Pavlo Melnyk, Michael Felsberg, M氓rten Wadenb盲ck, Andreas Robinson, Cuong Le, , Proceedings of the 41st International Conference on Machine Learning, Salakhutdinov, Ruslan and Kolter, Zico and Heller, Katherine and Weller, Adrian and Oliver, Nuria and Scarlett, Jonathan and Berkenkamp, Felix (eds.), Proceedings of Machine Learning Research, pp. 35324-35339, PMLR (2024)
