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Found 4 papers, 3 papers with code
Learning by Aligning: Visible-Infrared Person Re-identification using Cross-Modal Correspondences
We address the problem of visible-infrared person re-identification (VI-reID), that is, retrieving a set of person images, captured by visible or infrared cameras, in a cross-modal setting.
Learning Memory-guided Normality for Anomaly Detection
To address this problem, we present an unsupervised learning approach to anomaly detection that considers the diversity of normal patterns explicitly, while lessening the representation capacity of CNNs.
Anomaly Detection In Surveillance Videos
General Action Video Anomaly Detection
+1
Relation Network for Person Re-identification
To address this issue, we propose a new relation network for person reID that considers relations between individual body parts and the rest of them.
Ranked #3 on
Person Re-Identification
on CUHK03-C
Temporally Consistent Depth Prediction with Flow-Guided Memory Units
To address this problem, we propose to memorize temporal consistency in the video sequence, and leverage it for the task of depth prediction.
