Dense depth and pose estimation is a vital prerequisite for various vide...
For deep learning-based speech enhancement (SE) systems, the training-te...
In visual search, the gallery set could be incrementally growing and add...
Geometry-aware modules are widely applied in recent deep learning
archit...
This paper introduces an approach for multi-human 3D pose estimation and...
Video-based person re-identification (Re-ID) aims at matching the video
...
It is hard to detect on-road objects under various lighting conditions. ...
Continual lifelong learning is essential to many applications. In this p...
This paper aims at recognizing partially observed human actions in video...
Many face recognition systems boost the performance using deep learning
...
Automatic age and gender classification based on unconstrained images ha...
We propose a novel method to merge convolutional neural-nets for the
inf...
In this paper, we present an object detection method that tackles the
st...
This paper presents a simple yet effective supervised deep hash approach...
Augmented reality (AR) displays become more and more popular recently,
b...
We propose a Bayesian framework of Gaussian process in order to extend
F...