Pavlo Melnyk - RankMe

16 papers A* 4Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Flow Matching for Probabilistic Monocular 3D Human Pose Estimation. CoRR Cuong Le, Pavlo Melnyk, Bastian Wandt, Mårten Wadenbäck
2026	J	`jnl`	On the Role of Rotation Equivariance in Monocular 3D Human Pose Estimation. CoRR Pavlo Melnyk, Cuong Le, Urs Waldmann, Per-Erik Forssén, Bastian Wandt
2026	J	`jnl`	QuaMo: Quaternion Motions for Vision-based 3D Human Kinematics Capture. CoRR Cuong Le, Pavlo Melnyk, Urs Waldmann, Mårten Wadenbäck, Bastian Wandt
2024	A*	`conf`	On Learning Deep O(n)-Equivariant Hyperspheres. ICML Pavlo Melnyk, Michael Felsberg, Mårten Wadenbäck, Andreas Robinson, Cuong Le
2024	A*	`conf`	TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Analysis. CVPR Pavlo Melnyk, Andreas Robinson, Michael Felsberg, Mårten Wadenbäck
2023	J	`jnl`	Augment Features Beyond Color for Domain Generalized Segmentation. CoRR Qiyu Sun, Pavlo Melnyk, Michael Felsberg, Yang Tang
2023	J	`jnl`	Deep Equivariant Hyperspheres. CoRR Pavlo Melnyk, Michael Felsberg, Mårten Wadenbäck, Andreas Robinson, Cuong Le
2023	J	`jnl`	ICML 2023 Topological Deep Learning Challenge : Design and Results. CoRR 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.
2023	—	`conf`	ICML 2023 Topological Deep Learning Challenge: Design and Results. TAG-ML 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
2022	A*	`conf`	Steerable 3D Spherical Neurons. ICML Pavlo Melnyk, Michael Felsberg, Mårten Wadenbäck
2022	J	`jnl`	TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Classification. CoRR Pavlo Melnyk, Andreas Robinson, Mårten Wadenbäck, Michael Felsberg
2021	A*	`conf`	Embed Me If You Can: A Geometric Perceptron. ICCV Pavlo Melnyk, Michael Felsberg, Mårten Wadenbäck
2021	J	`jnl`	Fully Steerable 3D Spherical Neurons. CoRR Pavlo Melnyk, Michael Felsberg, Mårten Wadenbäck
2020	J	`jnl`	A high-performance CNN method for offline handwritten Chinese character recognition and visualization. Soft Comput. Pavlo Melnyk, Zhiqiang You, Keqin Li
2020	J	`jnl`	Embed Me If You Can: A Geometric Perceptron. CoRR Pavlo Melnyk, Michael Felsberg, Mårten Wadenbäck
2018	J	`jnl`	A High-Performance CNN Method for Offline Handwritten Chinese Character Recognition and Visualization. CoRR Pavlo Melnyk, Zhiqiang You, Keqin Li