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 …
Fine-grained shape-appearance mutual learning for cloth-changing person re-identification
Recently, person re-identification (Re-ID) has achieved great progress. However, current
methods largely depend on color appearance, which is not reliable when a person changes …
methods largely depend on color appearance, which is not reliable when a person changes …
Cloth-changing person re-identification from a single image with gait prediction and regularization
Cloth-Changing person re-identification (CC-ReID) aims at matching the same person
across different locations over a long-duration, eg, over days, and therefore inevitably has …
across different locations over a long-duration, eg, over days, and therefore inevitably has …
Long-term cloth-changing person re-identification
Person re-identification (Re-ID) aims to match a target person across camera views at
different locations and times. Existing Re-ID studies focus on the short-term cloth-consistent …
different locations and times. Existing Re-ID studies focus on the short-term cloth-consistent …
Dcr-reid: Deep component reconstruction for cloth-changing person re-identification
Person re-identification (Re-ID) plays an important role in many areas such as robotics,
multimedia and forensics. However, it becomes difficult when considering long-term …
multimedia and forensics. However, it becomes difficult when considering long-term …
Complementary data augmentation for cloth-changing person re-identification
This paper studies the challenging person re-identification (Re-ID) task under the cloth-
changing scenario, where the same identity (ID) suffers from uncertain cloth changes. To …
changing scenario, where the same identity (ID) suffers from uncertain cloth changes. To …
A survey on transferability of adversarial examples across deep neural networks
The emergence of Deep Neural Networks (DNNs) has revolutionized various domains,
enabling the resolution of complex tasks spanning image recognition, natural language …
enabling the resolution of complex tasks spanning image recognition, natural language …
Win-win by competition: Auxiliary-free cloth-changing person re-identification
Recent person Re-IDentification (ReID) systems have been challenged by changes in
personnel clothing, leading to the study of Cloth-Changing person ReID (CC-ReID) …
personnel clothing, leading to the study of Cloth-Changing person ReID (CC-ReID) …
Cocas: A large-scale clothes changing person dataset for re-identification
Recent years have witnessed great progress in person re-identification (re-id). Several
academic benchmarks such as Market1501, CUHK03 and DukeMTMC play important roles …
academic benchmarks such as Market1501, CUHK03 and DukeMTMC play important roles …
Transferable, controllable, and inconspicuous adversarial attacks on person re-identification with deep mis-ranking
The success of DNNs has driven the extensive applications of person re-identification
(ReID) into a new era. However, whether ReID inherits the vulnerability of DNNs remains …
(ReID) into a new era. However, whether ReID inherits the vulnerability of DNNs remains …