Pavlo Melnyk

According to our database, Pavlo Melnyk authored at least 11 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

On Learning Deep O(n)-Equivariant Hyperspheres.

Pavlo Melnyk, Michael Felsberg, Mårten Wadenbäck, Andreas Robinson, Cuong Le

Proceedings of the Forty-first International Conference on Machine Learning, 2024

TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Analysis.

Pavlo Melnyk, Andreas Robinson, Michael Felsberg, Mårten Wadenbäck

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

ICML 2023 Topological Deep Learning Challenge : Design and Results.

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.

CoRR, 2023

Augment Features Beyond Color for Domain Generalized Segmentation.

Qiyu Sun, Pavlo Melnyk, Michael Felsberg, Yang Tang

CoRR, 2023

Deep Equivariant Hyperspheres.

Pavlo Melnyk, Michael Felsberg, Mårten Wadenbäck, Andreas Robinson, Cuong Le

CoRR, 2023

ICML 2023 Topological Deep Learning Challenge: Design and Results.

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

Proceedings of the Topological, 2023

2022

TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Classification.

Pavlo Melnyk, Andreas Robinson, Mårten Wadenbäck, Michael Felsberg

CoRR, 2022

Steerable 3D Spherical Neurons.

Pavlo Melnyk, Michael Felsberg, Mårten Wadenbäck

Proceedings of the International Conference on Machine Learning, 2022

2021

Fully Steerable 3D Spherical Neurons.

Pavlo Melnyk, Michael Felsberg, Mårten Wadenbäck

CoRR, 2021

Embed Me If You Can: A Geometric Perceptron.

Pavlo Melnyk, Michael Felsberg, Mårten Wadenbäck

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

A high-performance CNN method for offline handwritten Chinese character recognition and visualization.

Pavlo Melnyk, Zhiqiang You, Keqin Li

Soft Comput., 2020