My PhD project, “How to Inject Geometry into Deep Learning - Theoretical Foundation and New Computational Methods,” is funded by Wallenberg AI, Autonomous Systems and Software Program (WASP).
I am part of the Geometric Deep Learning Cluster within WASP.
I am a teacher assistant and a project supervisor in several courses such as ”TSBB06 Multi-dimensional signal analysis”, ”TSBB14 Signal- and image-processing”, and ”TSBB15 Computer vision”.
I also supervise master theses.
- Pavlo Melnyk, Michael Felsberg, Mårten Wadenbäck. "Steerable 3D Spherical Neurons", Proceedings of the 39th International Conference on Machine Learning, PMLR 162:15330-15339, 2022.
- Pavlo Melnyk, Michael Felsberg and Mårten Wadenbäck. "Embed Me If You Can: A Geometric Perceptron", Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2021, pp. 1276-1284.
- Pavlo Melnyk, Zhiqiang You and Keqin Li."A high-performance CNN method for offline handwritten Chinese character recognition and visualization", Soft Computing 24, 7977–7987 (2020).