Sergey Prokudin
Sergey Prokudin
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Cited by
Cited by
Deep directional statistics: Pose estimation with uncertainty quantification
S Prokudin, P Gehler, S Nowozin
Proceedings of the European conference on computer vision (ECCV), 534-551, 2018
Efficient learning on point clouds with basis point sets
S Prokudin, C Lassner, J Romero
The IEEE International Conference on Computer Vision (ICCV), 4332--4341, 2019
SMPLpix: Neural Avatars from 3D Human Models
S Prokudin, MJ Black, J Romero
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020
DeepCEST 3T: Robust MRI parameter determination and uncertainty quantification with neural networks—application to CEST imaging of the human brain at 3T
F Glang, A Deshmane, S Prokudin, F Martin, K Herz, T Lindig, B Bender, ...
Magnetic resonance in medicine 84 (1), 450-466, 2020
Real time trajectory prediction using deep conditional generative models
S Gomez-Gonzalez, S Prokudin, B Schölkopf, J Peters
IEEE Robotics and Automation Letters 5 (2), 970-976, 2020
System and method for generating sets of antivirus records for detection of malware on user devices
SV Prokudin
US Patent 9,654,486, 2017
System and method for evaluating malware detection rules
AM Romanenko, IO Tolstikhin, SV Prokudin
US Patent 9,171,155, 2015
Dynamic Point Fields
S Prokudin, Q Ma, M Raafat, J Valentin, S Tang
arXiv preprint arXiv:2304.02626, 2023
HARP: Personalized Hand Reconstruction from a Monocular RGB Video
K Karunratanakul, S Prokudin, O Hilliges, S Tang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
Learning to filter object detections
S Prokudin, D Kappler, S Nowozin, P Gehler
Pattern Recognition: 39th German Conference, GCPR 2017, Basel, Switzerland …, 2017
ResFields: Residual neural fields for spatiotemporal signals
M Mihajlovic, S Prokudin, M Pollefeys, S Tang
arXiv preprint arXiv:2309.03160, 2023
Image generation from 3D model using neural network
S Prokudin, JR Gonzalez-Nicolas, MJ Black
US Patent 11,403,800, 2022
Rapid point cloud alignment and classification with basis set learning
JR Gonzalez-Nicolas, S Prokudin, C Lassner
US Patent 11,176,693, 2021
Machine learning based processing of magnetic resonance data, including an uncertainty quantification
M Zaiss, F Glang, S Prokudin, K Scheffler
US Patent App. 17/111,545, 2022
Morphable Diffusion: 3D-Consistent Diffusion for Single-image Avatar Creation
X Chen, M Mihajlovic, S Wang, S Prokudin, S Tang
arXiv preprint arXiv:2401.04728, 2024
Robust and efficient deep visual learning
S Prokudin
Universität Tübingen, 2020
DeepCEST 3T: Robust neural network prediction of 3T CEST MRI parameters including uncertainty quantification
F Glang, A Deshmane, S Prokudin, F Martin, K Herz, T Lindig, B Bender, ...
2020 ISMRM & SMRT Virtual Conference & Exhibition, 216, 2020
Dynamic Point Fields Supplementary Material
S Prokudin, Q Ma, M Raafat, J Valentin, S Tang
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