As one of the most successful applications of image analysis and understanding, face
recognition has recently received significant attention, especially during the past several …

The field of surveillance and forensics research is currently shifting focus and is now
showing an ever increasing interest in the task of people reidentification. This is the task of …

Abstract For Visible-Infrared person Re-IDentification (VI-ReID), existing modality-specific
information compensation based models try to generate the images of missing modality from …

Cross-modality person re-identification is a challenging task due to large cross-modality
discrepancy and intra-modality variations. Currently, most existing methods focus on …

Person re-identification (Re-ID) is an important problem in video surveillance, aiming to
match pedestrian images across camera views. Currently, most works focus on RGB-based …

Learning generic and robust feature representations with data from multiple domains for the
same problem is of great value, especially for the problems that have multiple datasets but …

Biometrics deals with identification of individuals based on their biological or behavioral
characteristics. Biometrics has lately been receiving attention in popular media, it is widely …

Over the last couple of years, face recognition researchers have been developing new
techniques. These developments are being fueled by advances in computer vision …

This paper presents a method for face recognition across variations in pose, ranging from
frontal to profile views, and across a wide range of illuminations, including cast shadows and …

This paper introduces a multilinear principal component analysis (MPCA) framework for
tensor object feature extraction. Objects of interest in many computer vision and pattern …