Sergey Prokudin

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 19

Top Topics

Efficient Learning

Point Trajectories

Top Venues

IEEE Robotics Autom. Lett.

Publications

Jonas Hein, Frédéric Giraud, Lilian Calvet, Alexander Schwarz, Nicola Alessandro Cavalcanti, Sergey Prokudin, Mazda Farshad, Siyu Tang, Marc Pollefeys, Fabio Carrillo, Philipp Fürnstahl
Creating a Digital Twin of Spinal Surgery: A Proof of Concept. CoRR (2024)
Marko Mihajlovic, Sergey Prokudin, Marc Pollefeys, Siyu Tang
ResFields: Residual Neural Fields for Spatiotemporal Signals. ICLR (2024)
Yan Zhang, Sergey Prokudin, Marko Mihajlovic, Qianli Ma, Siyu Tang
Degrees of Freedom Matter: Inferring Dynamics from Point Trajectories. CoRR (2024)
Xiyi Chen, Marko Mihajlovic, Shaofei Wang, Sergey Prokudin, Siyu Tang
Morphable Diffusion: 3D-Consistent Diffusion for Single-image Avatar Creation. CoRR (2024)
Sergey Prokudin, Qianli Ma, Maxime Raafat, Julien Valentin, Siyu Tang
Dynamic Point Fields. CoRR (2023)
Korrawe Karunratanakul, Sergey Prokudin, Otmar Hilliges, Siyu Tang
HARP: Personalized Hand Reconstruction from a Monocular RGB Video. CVPR (2023)
Marko Mihajlovic, Sergey Prokudin, Marc Pollefeys, Siyu Tang
ResFields: Residual Neural Fields for Spatiotemporal Signals. CoRR (2023)
Sergey Prokudin, Qianli Ma, Maxime Raafat, Julien Valentin, Siyu Tang
Dynamic Point Fields. ICCV (2023)
Korrawe Karunratanakul, Sergey Prokudin, Otmar Hilliges, Siyu Tang
HARP: Personalized Hand Reconstruction from a Monocular RGB Video. CoRR (2022)
Sergey Prokudin, Michael J. Black, Javier Romero
SMPLpix: Neural Avatars from 3D Human Models. WACV (2021)
Sebastián Gómez-González, Sergey Prokudin, Bernhard Schölkopf, Jan Peters
Real Time Trajectory Prediction Using Deep Conditional Generative Models. IEEE Robotics Autom. Lett. 5 (2) (2020)
Sergey Prokudin, Michael J. Black, Javier Romero
SMPLpix: Neural Avatars from 3D Human Models. CoRR (2020)
Sebastián Gómez-González, Sergey Prokudin, Bernhard Schölkopf, Jan Peters
Real Time Trajectory Prediction Using Deep Conditional Generative Models. CoRR (2019)
Sergey Prokudin, Christoph Lassner, Javier Romero
Efficient Learning on Point Clouds with Basis Point Sets. CoRR (2019)
Sergey Prokudin, Christoph Lassner, Javier Romero
Efficient Learning on Point Clouds with Basis Point Sets. ICCV Workshops (2019)
Sergey Prokudin, Christoph Lassner, Javier Romero
Efficient Learning on Point Clouds With Basis Point Sets. ICCV (2019)
Sergey Prokudin, Peter V. Gehler, Sebastian Nowozin
Deep Directional Statistics: Pose Estimation with Uncertainty Quantification. CoRR (2018)
Sergey Prokudin, Peter V. Gehler, Sebastian Nowozin
Deep Directional Statistics: Pose Estimation with Uncertainty Quantification. ECCV (9) (2018)
Sergey Prokudin, Daniel Kappler, Sebastian Nowozin, Peter V. Gehler
Learning to Filter Object Detections. GCPR (2017)