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Found 4 papers, 3 papers with code
VideoOneNet: Bidirectional Convolutional Recurrent OneNet with Trainable Data Steps for Video Processing
Deep Neural Networks (DNNs) achieve the state-of-the-art results on a wide range of image processing tasks, however, the majority of such solutions are problem-specific, like most AI algorithms.
Temporal Smoothing for 3D Human Pose Estimation and Localization for Occluded People
In multi-person pose estimation actors can be heavily occluded, even become fully invisible behind another person.
Ranked #3 on
3D Multi-Person Pose Estimation
on MuPoTS-3D
3D Multi-Person Pose Estimation (root-relative)
Multi-Person Pose Estimation
+1
Multi-Person Absolute 3D Human Pose Estimation with Weak Depth Supervision
In 3D human pose estimation one of the biggest problems is the lack of large, diverse datasets.
3D Human Pose Estimation
3D Multi-Person Pose Estimation (absolute)
+2
Emotional Expression Classification using Time-Series Kernels
Estimation of facial expressions, as spatio-temporal processes, can take advantage of kernel methods if one considers facial landmark positions and their motion in 3D space.
