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ORCIDSergey Prokudin
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2020 – today
- 2024
[c12]Yan Zhang, Sergey Prokudin, Marko Mihajlovic, Qianli Ma, Siyu Tang:
Degrees of Freedom Matter: Inferring Dynamics from Point Trajectories. CVPR 2024: 2018-2028- [c11]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. CVPR Workshops 2024: 2355-2364 - [c10]Xiyi Chen, Marko Mihajlovic, Shaofei Wang, Sergey Prokudin, Siyu Tang:
Morphable Diffusion: 3D-Consistent Diffusion for Single-image Avatar Creation. CVPR 2024: 10359-10370 - [c9]Marko Mihajlovic
, Sergey Prokudin, Siyu Tang, Robert Maier, Federica Bogo, Tony Tung, Edmond Boyer:
SplatFields: Neural Gaussian Splats for Sparse 3D and 4D Reconstruction. ECCV (2) 2024: 313-332 - [c8]Marko Mihajlovic, Sergey Prokudin, Marc Pollefeys, Siyu Tang:
ResFields: Residual Neural Fields for Spatiotemporal Signals. ICLR 2024 - [i13]Xiyi Chen, Marko Mihajlovic, Shaofei Wang, Sergey Prokudin, Siyu Tang:
Morphable Diffusion: 3D-Consistent Diffusion for Single-image Avatar Creation. CoRR abs/2401.04728 (2024) - [i12]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 abs/2403.16736 (2024) - [i11]Yan Zhang, Sergey Prokudin, Marko Mihajlovic, Qianli Ma, Siyu Tang:
Degrees of Freedom Matter: Inferring Dynamics from Point Trajectories. CoRR abs/2406.03625 (2024) - [i10]Marko Mihajlovic, Sergey Prokudin, Siyu Tang, Robert Maier, Federica Bogo, Tony Tung, Edmond Boyer:
SplatFields: Neural Gaussian Splats for Sparse 3D and 4D Reconstruction. CoRR abs/2409.11211 (2024) - [i9]Deheng Zhang, Jingyu Wang, Shaofei Wang, Marko Mihajlovic, Sergey Prokudin, Hendrik P. A. Lensch, Siyu Tang:
RISE-SDF: a Relightable Information-Shared Signed Distance Field for Glossy Object Inverse Rendering. CoRR abs/2409.20140 (2024) - [i8]Adam Kania, Marko Mihajlovic, Sergey Prokudin, Jacek Tabor, Przemyslaw Spurek:
FreSh: Frequency Shifting for Accelerated Neural Representation Learning. CoRR abs/2410.05050 (2024) - 2023
- [c7]Korrawe Karunratanakul, Sergey Prokudin, Otmar Hilliges, Siyu Tang:
HARP: Personalized Hand Reconstruction from a Monocular RGB Video. CVPR 2023: 12802-12813 - [c6]Sergey Prokudin, Qianli Ma, Maxime Raafat, Julien Valentin, Siyu Tang:
Dynamic Point Fields. ICCV 2023: 7930-7942 - [i7]Sergey Prokudin, Qianli Ma, Maxime Raafat, Julien Valentin, Siyu Tang:
Dynamic Point Fields. CoRR abs/2304.02626 (2023) - [i6]Marko Mihajlovic, Sergey Prokudin, Marc Pollefeys, Siyu Tang:
ResFields: Residual Neural Fields for Spatiotemporal Signals. CoRR abs/2309.03160 (2023) - 2022
- [i5]Korrawe Karunratanakul, Sergey Prokudin, Otmar Hilliges, Siyu Tang:
HARP: Personalized Hand Reconstruction from a Monocular RGB Video. CoRR abs/2212.09530 (2022) - 2021
- [c5]Sergey Prokudin, Michael J. Black, Javier Romero:
SMPLpix: Neural Avatars from 3D Human Models. WACV 2021: 1809-1818 - 2020
- [b1]Sergey Prokudin:
Robust and Efficient Deep Visual Learning. University of Tübingen, Germany, 2020 - [j1]Sebastián Gómez-González, Sergey Prokudin, Bernhard Schölkopf, Jan Peters:
Real Time Trajectory Prediction Using Deep Conditional Generative Models. IEEE Robotics Autom. Lett. 5(2): 970-976 (2020) - [i4]Sergey Prokudin, Michael J. Black, Javier Romero:
SMPLpix: Neural Avatars from 3D Human Models. CoRR abs/2008.06872 (2020)
2010 – 2019
- 2019
- [c4]Sergey Prokudin, Christoph Lassner, Javier Romero:
Efficient Learning on Point Clouds With Basis Point Sets. ICCV 2019: 4331-4340 - [c3]Sergey Prokudin, Christoph Lassner, Javier Romero:
Efficient Learning on Point Clouds with Basis Point Sets. ICCV Workshops 2019: 3072-3081 - [i3]Sergey Prokudin, Christoph Lassner, Javier Romero:
Efficient Learning on Point Clouds with Basis Point Sets. CoRR abs/1908.09186 (2019) - [i2]Sebastián Gómez-González, Sergey Prokudin, Bernhard Schölkopf, Jan Peters:
Real Time Trajectory Prediction Using Deep Conditional Generative Models. CoRR abs/1909.03895 (2019) - 2018
- [c2]Sergey Prokudin, Peter V. Gehler, Sebastian Nowozin:
Deep Directional Statistics: Pose Estimation with Uncertainty Quantification. ECCV (9) 2018: 542-559 - [i1]Sergey Prokudin, Peter V. Gehler, Sebastian Nowozin:
Deep Directional Statistics: Pose Estimation with Uncertainty Quantification. CoRR abs/1805.03430 (2018) - 2017
- [c1]Sergey Prokudin, Daniel Kappler, Sebastian Nowozin, Peter V. Gehler:
Learning to Filter Object Detections. GCPR 2017: 52-62
Coauthor Index
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