Recent works have shown that Large Language Models (LLMs) can promote
gr...
Strong AI requires the learning engine to be task non-specific and to
au...
Deep learning models in large-scale machine learning systems are often
c...
Visible-Infrared person re-identification (VI-ReID) aims at matching
cro...
Heterogeneous Face Recognition (HFR) refers to matching cross-domain fac...
Discrete optimization is one of the most intractable problems in deep
ha...
With the flourish of differentiable neural architecture search (NAS),
au...
Current face detectors utilize anchors to frame a multi-task learning pr...
Few-shot image classification requires the classifier to robustly cope w...
Quantization based methods are popular for solving large scale maximum i...
High accuracy video label prediction (classification) models are attribu...
Sparse PCA is a widely used technique for high-dimensional data analysis...
Facial images in surveillance or mobile scenarios often have large view-...
Conventional methods for facial age analysis tend to utilize accurate ag...
Face manipulation has shown remarkable advances with the flourish of
Gen...
Inverted file and asymmetric distance computation (IVFADC) have been
suc...
Heterogeneous Face Recognition (HFR) is a challenging issue because of t...
Many emerging use cases of data mining and machine learning operate on l...
User intended actions are widely seen in many areas. Forecasting these
a...
Deep supervised hashing has become an active topic in web search and
inf...
Visible (VIS) to near infrared (NIR) face matching is a challenging prob...
The gap between sensing patterns of different face modalities remains a
...
Makeup is widely used to improve facial attractiveness and is well accep...
Heterogeneous face recognition (HFR) aims to match facial images acquire...
Heterogeneous face matching is a challenge issue in face recognition due...
Convolution neural network (CNN) has significantly pushed forward the
de...
With the development of convolution neural network, more and more resear...