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Spatial-temporal Vehicle Re-identification
Vehicle re-identification (ReID) in a large-scale camera network is important in public safety, traffic control, and security.
Weighted Intersection over Union (wIoU): A New Evaluation Metric for Image Segmentation
Using the proposed metric, we expect more flexible and intuitive evaluation in semantic segmentation filed are possible.
Product Inspection Methodology via Deep Learning: An Overview
In this work, we present a framework for product quality inspection based on deep learning techniques.
Distance-based Camera Network Topology Inference for Person Re-identification
The proposed distance-based topology can be applied adaptively to each person according to its speed and handle diverse transition time of people between non-overlapping cameras.
Joint Person Re-identification and Camera Network Topology Inference in Multiple Cameras
Person re-identification is the task of recognizing or identifying a person across multiple views in multi-camera networks.
PaMM: Pose-aware Multi-shot Matching for Improving Person Re-identification
Person re-identification is the problem of recognizing people across different images or videos with non-overlapping views.
Unified Framework for Automated Person Re-identification and Camera Network Topology Inference in Camera Networks
Person re-identification in large-scale multi-camera networks is a challenging task because of the spatio-temporal uncertainty and high complexity due to large numbers of cameras and people.
Improving Person Re-Identification via Pose-Aware Multi-Shot Matching
Person re-identification is the problem of recognizing people across images or videos from non-overlapping views.
