Visual attributes, from simple objects to soft-biometrics have proven to be a powerful
representational approach for many applications such as image description and human …

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 …

Privileged information (PI), known as teacher providing students helpful comments,
comparisons, and explanations to improve students' performance, has been widely applied …

Incorporating additional knowledge in the learning process can be beneficial for several
computer vision tasks. Whether privileged information originates from a source domain that …

Many regression tasks encounter an asymmetric distribution of information between training
and testing phases where the additional information available in training, the so-called …

This paper presents a deep learning-based human height estimation approach using a
stereo vision system, which is part of a smart receptionist framework. The proposal consists …

Classification models may often suffer from" structure imbalance" between training and
testing data that may occur due to the deficient data collection process. This imbalance can …

The majority of existing objective Image Quality Assessment (IQA) methods are designed for
evaluation of images corrupted by single distortion types. However, images may be …

Many existing video surveillance systems use human characteristics like face, height, and
gait to identify a person. This paper proposes a human height estimation approach using …

Anthropometry is a versatile tool for evaluating the human body proportions. This tool allows
the orientation of public health policies and clinical decisions. But in order to optimize the …