Research Activities
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 ().
I am part of the within WASP.
Teaching
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.
Publications
- Pavlo Melnyk, Michael Felsberg, Mårten Wadenbäck. "", Proceedings of the 39th International Conference on Machine Learning, PMLR 162:15330-15339, 2022.
- Pavlo Melnyk, Michael Felsberg and Mårten Wadenbäck. "", Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2021, pp. 1276-1284.
- Pavlo Melnyk, Zhiqiang You and Keqin Li."", Soft Computing 24, 7977–7987 (2020).