Deep learning for person re-identification: A survey and outlook
Person re-identification (Re-ID) aims at retrieving a person of interest across multiple non-
overlapping cameras. With the advancement of deep neural networks and increasing …
overlapping cameras. With the advancement of deep neural networks and increasing …
Deep learning for visible-infrared cross-modality person re-identification: A comprehensive review
Visible-infrared cross-modality person re-identification (VI-ReID) is currently a prevalent but
challenging research topic in computer vision, since it can remedy the poor performance of …
challenging research topic in computer vision, since it can remedy the poor performance of …
Person re-identification by multi-channel parts-based cnn with improved triplet loss function
Person re-identification across cameras remains a very challenging problem, especially
when there are no overlapping fields of view between cameras. In this paper, we present a …
when there are no overlapping fields of view between cameras. In this paper, we present a …
Learning deep feature representations with domain guided dropout for person re-identification
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 …
same problem is of great value, especially for the problems that have multiple datasets but …
Joint detection and identification feature learning for person search
Existing person re-identification benchmarks and methods mainly focus on matching
cropped pedestrian images between queries and candidates. However, it is different from …
cropped pedestrian images between queries and candidates. However, it is different from …
Learning modality-specific representations for visible-infrared person re-identification
Traditional person re-identification (re-id) methods perform poorly under changing
illuminations. This situation can be addressed by using dual-cameras that capture visible …
illuminations. This situation can be addressed by using dual-cameras that capture visible …
Deepreid: Deep filter pairing neural network for person re-identification
Person re-identification is to match pedestrian images from disjoint camera views detected
by pedestrian detectors. Challenges are presented in the form of complex variations of …
by pedestrian detectors. Challenges are presented in the form of complex variations of …
Person re-identification by local maximal occurrence representation and metric learning
Person re-identification is an important technique towards automatic search of a person's
presence in a surveillance video. Two fundamental problems are critical for person re …
presence in a surveillance video. Two fundamental problems are critical for person re …
A survey of open-world person re-identification
Person re-identification (re-ID) has been a popular topic in computer vision and pattern
recognition communities for a decade. Several important milestones such as metric-based …
recognition communities for a decade. Several important milestones such as metric-based …
Jointly attentive spatial-temporal pooling networks for video-based person re-identification
Abstract Person Re-Identification (person re-id) is a crucial task as its applications in visual
surveillance and human-computer interaction. In this work, we present a novel joint Spatial …
surveillance and human-computer interaction. In this work, we present a novel joint Spatial …