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 …
Comprehensive survey of deep learning in remote sensing: theories, tools, and challenges for the community
In recent years, deep learning (DL), a rebranding of neural networks (NNs), has risen to the
top in numerous areas, namely computer vision (CV), speech recognition, and natural …
top in numerous areas, namely computer vision (CV), speech recognition, and natural …
Constructing stronger and faster baselines for skeleton-based action recognition
One essential problem in skeleton-based action recognition is how to extract discriminative
features over all skeleton joints. However, the complexity of the recent State-Of-The-Art …
features over all skeleton joints. However, the complexity of the recent State-Of-The-Art …
Deep progressive reinforcement learning for skeleton-based action recognition
In this paper, we propose a deep progressive reinforcement learning (DPRL) method for
action recognition in skeleton-based videos, which aims to distil the most informative frames …
action recognition in skeleton-based videos, which aims to distil the most informative frames …
Clothing status awareness for long-term person re-identification
Long-Term person re-identification (LT-reID) exposes extreme challenges because of the
longer time gaps between two recording footages where a person is likely to change …
longer time gaps between two recording footages where a person is likely to change …
Mitigating bias in face recognition using skewness-aware reinforcement learning
Racial equality is an important theme of international human rights law, but it has been
largely obscured when the overall face recognition accuracy is pursued blindly. More facts …
largely obscured when the overall face recognition accuracy is pursued blindly. More facts …
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 …
Person re-identification by contour sketch under moderate clothing change
Person re-identification (re-id), the process of matching pedestrian images across different
camera views, is an important task in visual surveillance. Substantial development of re-id …
camera views, is an important task in visual surveillance. Substantial development of re-id …
The application of two-level attention models in deep convolutional neural network for fine-grained image classification
Fine-grained classification is challenging because categories can only be discriminated by
subtle and local differences. Variances in the pose, scale or rotation usually make the …
subtle and local differences. Variances in the pose, scale or rotation usually make the …
See the forest for the trees: Joint spatial and temporal recurrent neural networks for video-based person re-identification
Surveillance cameras have been widely used in different scenes. Accordingly, a demanding
need is to recognize a person under different cameras, which is called person re …
need is to recognize a person under different cameras, which is called person re …