Object motion and object appearance are commonly used information in mul...
We present a quality-aware multimodal recognition framework that combine...
In this paper, we present a simple approach to train Generative Adversar...
We present a novel framework to exploit privileged information for
recog...
In this work, we present a practical approach to the problem of facial
l...
Object detection remains as one of the most notorious open problems in
c...
In this paper, we present an attribute-guided deep coupled learning fram...
Unsupervised image-to-image translation is a class of computer vision
pr...
Disentangling factors of variation within data has become a very challen...
In this paper, we present a deep coupled framework to address the proble...
In this paper a novel cross-device text-independent speaker verification...
Performing recognition tasks using latent fingerprint samples is often
c...
In this paper, we present a deep coupled learning frame- work to address...
Elastic distortion of fingerprints has a negative effect on the performa...
This work provides a framework for addressing the problem of supervised
...
Audio-visual recognition (AVR) has been considered as a solution for spe...