1
Multitask Autoencoder Model for Recovering Human Poses
2
Human action recognition in RGB-D videos using motion sequence information and deep learning
3
Head pose estimation in the wild using Convolutional Neural Networks and adaptive gradient methods
4
Image Reconstruction via Manifold Constrained Convolutional Sparse Coding for Image Sets
5
Adaptive Local Movement Modeling for Robust Object Tracking