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Person re-identification: Past, present and future
L Zheng, Y Yang, AG Hauptmann - ar** camera views against significant and unknown …
Survey on person re‐identification based on deep learning
Person re‐identification (Re‐ID) is a fundamental subject in the field of the computer vision
technologies. The traditional methods of person Re‐ID have difficulty in solving the …
technologies. The traditional methods of person Re‐ID have difficulty in solving the …
Looking beyond appearances: Synthetic training data for deep cnns in re-identification
Re-identification is generally carried out by encoding the appearance of a subject in terms of
outfit, suggesting scenarios where people do not change their attire. In this paper we …
outfit, suggesting scenarios where people do not change their attire. In this paper we …
Consistent-aware deep learning for person re-identification in a camera network
In this paper, we propose a consistent-aware deep learning (CADL) framework for person re-
identification in a camera network. Unlike most existing person re-identification methods …
identification in a camera network. Unlike most existing person re-identification methods …
Multi-view surveillance video summarization via joint embedding and sparse optimization
Most traditional video summarization methods are designed to generate effective summaries
for single-view videos, and thus, they cannot fully exploit the complicated intra-and inter …
for single-view videos, and thus, they cannot fully exploit the complicated intra-and inter …
Aggregating deep pyramidal representations for person re-identification
Learning discriminative, view-invariant and multi-scale representations of person
appearance with different semantic levels is of paramount importance for person Re …
appearance with different semantic levels is of paramount importance for person Re …
Deep pyramidal pooling with attention for person re-identification
Learning discriminative, view-invariant and multi-scale representations of object
appearance with different semantic levels is of paramount importance for person Re …
appearance with different semantic levels is of paramount importance for person Re …
Joint person re-identification and camera network topology inference in multiple cameras
In this study, we propose a unified framework which jointly solves both person re-
identification and camera network topology inference problems with minimal prior …
identification and camera network topology inference problems with minimal prior …
Unifying offline and online multi-graph matching via finding shortest paths on supergraph
This paper addresses the problem of multiple graph matching (MGM) by considering both
offline batch mode and online setting. We explore the concept of cycle-consistency over …
offline batch mode and online setting. We explore the concept of cycle-consistency over …