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 …
Anomaly detection in road traffic using visual surveillance: A survey
Computer vision has evolved in the last decade as a key technology for numerous
applications replacing human supervision. Timely detection of traffic violations and …
applications replacing human supervision. Timely detection of traffic violations and …
Diverse part discovery: Occluded person re-identification with part-aware transformer
Occluded person re-identification (Re-ID) is a challenging task as persons are frequently
occluded by various obstacles or other persons, especially in the crowd scenario. To …
occluded by various obstacles or other persons, especially in the crowd scenario. To …
Unsupervised person re-identification via multi-label classification
The challenge of unsupervised person re-identification (ReID) lies in learning discriminative
features without true labels. This paper formulates unsupervised person ReID as a multi …
features without true labels. This paper formulates unsupervised person ReID as a multi …
High-order information matters: Learning relation and topology for occluded person re-identification
Occluded person re-identification (ReID) aims to match occluded person images to holistic
ones across dis-joint cameras. In this paper, we propose a novel framework by learning high …
ones across dis-joint cameras. In this paper, we propose a novel framework by learning high …
Abd-net: Attentive but diverse person re-identification
Attention mechanisms have been found effective for person re-identification (Re-ID).
However, the learned" attentive" features are often not naturally uncorrelated or" diverse" …
However, the learned" attentive" features are often not naturally uncorrelated or" diverse" …
Pose-guided feature alignment for occluded person re-identification
Persons are often occluded by various obstacles in person retrieval scenarios. Previous
person re-identification (re-id) methods, either overlook this issue or resolve it based on an …
person re-identification (re-id) methods, either overlook this issue or resolve it based on an …
Intra-inter camera similarity for unsupervised person re-identification
Most of unsupervised person Re-Identification (Re-ID) works produce pseudo-labels by
measuring the feature similarity without considering the distribution discrepancy among …
measuring the feature similarity without considering the distribution discrepancy among …
Invariance matters: Exemplar memory for domain adaptive person re-identification
This paper considers the domain adaptive person re-identification (re-ID) problem: learning
a re-ID model from a labeled source domain and an unlabeled target domain. Conventional …
a re-ID model from a labeled source domain and an unlabeled target domain. Conventional …
Neural feature search for rgb-infrared person re-identification
RGB-Infrared person re-identification (RGB-IR ReID) is a challenging cross-modality
retrieval problem, which aims at matching the person-of-interest over visible and infrared …
retrieval problem, which aims at matching the person-of-interest over visible and infrared …