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Pavlo Melnyk
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Journal Articles
- 2020
- [j1]Pavlo Melnyk
, Zhiqiang You
, Keqin Li:
A high-performance CNN method for offline handwritten Chinese character recognition and visualization. Soft Comput. 24(11): 7977-7987 (2020)
Conference and Workshop Papers
- 2023
- [c3]Mathilde Papillon, Mustafa Hajij, Audun Myers, Florian Frantzen, Ghada Zamzmi, Helen Jenne, Johan Mathe, Josef Hoppe, Michael T. Schaub, Theodore Papamarkou
, Aldo Guzmán-Sáenz, Bastian Rieck, Neal Livesay, Tamal K. Dey, Abraham Rabinowitz, Aiden Brent, Alessandro Salatiello, Alexander Nikitin, Ali Zia, Claudio Battiloro, Dmitrii Gavrilev, Georg Bökman, German Magai, Gleb Bazhenov, Guillermo Bernárdez, Indro Spinelli, Jens Agerberg, Kalyan Varma Nadimpalli, Lev Telyatnikov, Luca Scofano, Lucia Testa, Manuel Lecha, Maosheng Yang, Mohammed Hassanin, Odin Hoff Gardaa, Olga Zaghen, Paul Häusner, Paul Snopoff, Pavlo Melnyk, Rubén Ballester, Sadrodin Barikbin, Sergio Escalera, Simone Fiorellino, Henry Kvinge, Jan Meissner, Karthikeyan Natesan Ramamurthy, Michael Scholkemper, Paul Rosen, Robin Walters, Shreyas N. Samaga, Soham Mukherjee
, Sophia Sanborn, Tegan Emerson, Timothy Doster, Tolga Birdal, Vincent P. Grande, Abdelwahed Khamis, Simone Scardapane, Suraj Singh, Tatiana Malygina, Yixiao Yue, Nina Miolane:
ICML 2023 Topological Deep Learning Challenge: Design and Results. TAG-ML 2023: 3-8 - 2022
- [c2]Pavlo Melnyk, Michael Felsberg, Mårten Wadenbäck:
Steerable 3D Spherical Neurons. ICML 2022: 15330-15339 - 2021
- [c1]Pavlo Melnyk
, Michael Felsberg, Mårten Wadenbäck
:
Embed Me If You Can: A Geometric Perceptron. ICCV 2021: 1256-1264
Informal and Other Publications
- 2023
- [i7]Pavlo Melnyk, Michael Felsberg, Mårten Wadenbäck, Andreas Robinson, Cuong Le:
Deep Equivariant Hyperspheres. CoRR abs/2305.15613 (2023) - [i6]Qiyu Sun, Pavlo Melnyk, Michael Felsberg, Yang Tang:
Augment Features Beyond Color for Domain Generalized Segmentation. CoRR abs/2307.01703 (2023) - [i5]Mathilde Papillon, Mustafa Hajij, Florian Frantzen, Josef Hoppe, Helen Jenne, Johan Mathe, Audun Myers, Theodore Papamarkou, Michael T. Schaub, Ghada Zamzmi, Tolga Birdal, Tamal K. Dey, Tim Doster, Tegan Emerson, Gurusankar Gopalakrishnan, Devendra Govil, Vincent P. Grande, Aldo Guzmán-Sáenz, Henry Kvinge, Neal Livesay, Jan Meissner, Soham Mukherjee, Shreyas N. Samaga, Karthikeyan Natesan Ramamurthy, Maneel Reddy Karri, Paul Rosen, Sophia Sanborn, Michael Scholkemper, Robin Walters, Jens Agerberg, Georg Bökman, Sadrodin Barikbin, Claudio Battiloro, Gleb Bazhenov, Guillermo Bernárdez, Aiden Brent, Sergio Escalera, Simone Fiorellino, Dmitrii Gavrilev, Mohammed Hassanin, Paul Häusner, Odin Hoff Gardaa, Abdelwahed Khamis, Manuel Lecha, German Magai, Tatiana Malygina, Pavlo Melnyk, et al.:
ICML 2023 Topological Deep Learning Challenge : Design and Results. CoRR abs/2309.15188 (2023) - 2022
- [i4]Pavlo Melnyk, Andreas Robinson, Mårten Wadenbäck, Michael Felsberg:
TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Classification. CoRR abs/2211.14456 (2022) - 2021
- [i3]Pavlo Melnyk, Michael Felsberg, Mårten Wadenbäck:
Fully Steerable 3D Spherical Neurons. CoRR abs/2106.13863 (2021) - 2020
- [i2]Pavlo Melnyk, Michael Felsberg, Mårten Wadenbäck:
Embed Me If You Can: A Geometric Perceptron. CoRR abs/2006.06507 (2020) - 2018
- [i1]Pavlo Melnyk, Zhiqiang You, Keqin Li:
A High-Performance CNN Method for Offline Handwritten Chinese Character Recognition and Visualization. CoRR abs/1812.11489 (2018)
Coauthor Index
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