This work proposes an end-to-end approach to estimate full 3D hand pose ...
Inspired by the human ability to infer emotions from body language, we
p...
Existing video-based human pose estimation methods extensively apply lar...
Human body part parsing refers to the task of predicting the semantic
se...
Landmark localization in images and videos is a classic problem solved i...
This work addresses a novel and challenging problem of estimating the fu...
In this study, we investigate what a practically useful approach is in o...
Action recognition with 3D skeleton sequences is becoming popular due to...
Learning to rank has recently emerged as an attractive technique to trai...
The ability of learning from noisy labels is very useful in many visual
...
With the recent popularity of animated GIFs on social media, there is ne...
Asynchronous parallel implementations of stochastic gradient (SG) have b...