24 citations · 47 across the 20 of their papers we have counts for
6 papers · 1 filter
Deep Imbalanced Attribute Classification using Visual Attention Aggregation
Nikolaos Sarafianos, Xiang Xu, Ioannis A. Kakadiaris
For many computer vision applications, such as image description and human identification, recognizing the visual attributes of humans is an essential yet challenging problem. Its…
Fully Associative Patch-based 1-to-N Matcher for Face Recognition
Lingfeng Zhang, Ioannis A. Kakadiaris
This paper focuses on improving face recognition performance by a patch-based 1-to-N signature matcher that learns correlations between different facial patches. A Fully Associativ…
A Hierarchical Matcher using Local Classifier Chains
Lingfeng Zhang, Ioannis A. Kakadiaris
This paper focuses on improving the performance of current convolutional neural networks in visual recognition without changing the network architecture. A hierarchical matcher is…
Patch-based Face Recognition using a Hierarchical Multi-label Matcher
Lingfeng Zhang, Pengfei Dou, Ioannis A Kakadiaris
This paper proposes a hierarchical multi-label matcher for patch-based face recognition. In signature generation, a face image is iteratively divided into multi-level patches. Two…
Convolutional Point-set Representation: A Convolutional Bridge Between a Densely Annotated Image and 3D Face Alignment
Yuhang Wu, Le Anh Vu Ha, Xiang Xu +1
We present a robust method for estimating the facial pose and shape information from a densely annotated facial image. The method relies on Convolutional Point-set Representation (…
A Face Recognition Signature Combining Patch-based Features with Soft Facial Attributes
Lingfeng Zhang, Pengfei Dou, Ioannis A. Kakadiaris
This paper focuses on improving face recognition performance with a new signature combining implicit facial features with explicit soft facial attributes. This signature has two co…