Visual attributes, from simple objects (eg, backpacks, hats) to soft-biometrics (eg, gender,
height, clothing) have proven to be a powerful representational approach for many …

This paper focuses on improving the performance of current convolutional neural networks
in face recognition without changing the network architecture. We propose a hierarchical …

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 …

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 …

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 …

This paper focuses on improving the performance of current convolutional neural networks
in visual recognition without changing the network architecture. A hierarchical matcher is …