We present a learning algorithm that uses bone-driven motion networks to...
Action recognition has been heavily employed in many applications such a...
Skeletal motion plays a vital role in human activity recognition as eith...
This paper provides a new avenue for exploiting deep neural networks to
...
While the superior performance of second-order optimization methods such...
Face reenactment aims to animate a source face image to a different pose...
This paper presents a fully automatic framework for extracting editable ...
The automatic intensity estimation of facial action units (AUs) from a s...
3D Morphable Model (3DMM) based methods have achieved great success in
r...
Current instance segmentation methods can be categorized into
segmentati...
Adversarial attack has inspired great interest in computer vision, by sh...
We present a novel spatial hashing based data structure to facilitate 3D...
DeepWarp is an efficient and highly re-usable deep neural network (DNN) ...