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pavme15

Pavlo Melnyk

Postdoc

Passionate about AI in general and Geometric Deep Learning in particular: debunking the magic behind artificial neural networks by viewing and designing them from a geometry perspective.

I am an academic PhD student at Computer Vision Laboratory.

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).

Quick Facts: Pavlo Melnyk

CV

  • 2019-: PhD in Electrical Engineering with specialization in Computer Vision, Linköping University, Linköping, Sweden.
  • 2016-2019: Master's in Computer Science and Technology, Hunan University (湖南大学), Changsha, Hunan province, China.
  • 2012-2016: Bachelor's in Information Security Systems, Donetsk National Technical University, Pokrovsk, Ukraine.

Languages

  • Swedish (certified, C1)
  • Chinese (certified, HSK5 (2019's version))
  • English
  • Ukrainian (native/bilingual)

Social Media

ORCID
LinkedIn
GitHub

Publications

Pavlo Melnyk, , Link?ping Studies in Science and Technology. Dissertations 2393, Link?ping University Electronic Press, Link?ping (2024)

Pavlo Melnyk, Andreas Robinson, Michael Felsberg, M?rten Wadenb?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?rten Wadenb?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)

Pavlo Melnyk, Michael Felsberg, M?rten Wadenb?ck, , Proceedings of the 39th International Conference on Machine Learning, Kamalika Chaudhuri, Stefanie Jegelka, Le Song, Csaba Szepesvari, Gang Niu, Sivan Sabato (eds.), Proceedings of Machine Learning Research, pp. 15330-15339, PMLR (2022)

Pavlo Melnyk, Michael Felsberg, M?rten Wadenb?ck, , Proceedings 2021 IEEE/CVF International Conference on Computer Vision ICCV 2021, IEEE International Conference on Computer Vision. Proceedings, pp. 1256-1264, Institute of Electrical and Electronics Engineers (IEEE) (2021)

Coworkers CVL

Organisation