Sergey Prokudin | DeepAI

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∙ 09/06/2023

ResFields: Residual Neural Fields for Spatiotemporal Signals

Neural fields, a category of neural networks trained to represent high-f...

0 Marko Mihajlovic, et al. ∙

∙ 04/05/2023

Dynamic Point Fields

Recent years have witnessed significant progress in the field of neural ...

0 Sergey Prokudin, et al. ∙

∙ 12/19/2022

HARP: Personalized Hand Reconstruction from a Monocular RGB Video

We present HARP (HAnd Reconstruction and Personalization), a personalize...

0 Korrawe Karunratanakul, et al. ∙

∙ 08/16/2020

SMPLpix: Neural Avatars from 3D Human Models

Recent advances in deep generative models have led to an unprecedented l...

2 Sergey Prokudin, et al. ∙

∙ 09/09/2019

Real Time Trajectory Prediction Using Deep Conditional Generative Models

Data driven methods for time series forecasting that quantify uncertaint...

1 Sebastián Gómez-González, et al. ∙

∙ 08/24/2019

Efficient Learning on Point Clouds with Basis Point Sets

With the increased availability of 3D scanning technology, point clouds ...

0 Sergey Prokudin, et al. ∙

∙ 05/09/2018

Deep Directional Statistics: Pose Estimation with Uncertainty Quantification

Modern deep learning systems successfully solve many perception tasks su...

2 Sergey Prokudin, et al. ∙

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