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UTD-MHAD: A multimodal dataset for human action recognition utilizing a depth camera and a wearable inertial sensor
TLDR
This paper describes a freely available dataset, named UTD-MHAD, which consists of four temporally synchronized data modalities, including RGB videos, depth videos, skeleton positions, and inertial signals from a Kinect camera and a wearable inertial sensor for a comprehensive set of 27 human actions. Expand
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Real-World Anomaly Detection in Surveillance Videos
TLDR
We propose to learn anomaly through the deep multiple instance ranking framework by leveraging weakly labeled training videos, i.e. the training labels are at video-level instead of clip-level. Expand
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Local Binary Patterns and Extreme Learning Machine for Hyperspectral Imagery Classification
TLDR
It is of great interest in exploiting texture information for classification of hyperspectral imagery. Expand
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Robust Image and Video Dehazing with Visual Artifact Suppression via Gradient Residual Minimization
TLDR
An image-guided, depth-edge-aware smoothing algorithm is proposed to refine the initial atmosphere transmission map generated by local priors. Expand
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A Memory Retrieval-Extinction Procedure to Prevent Drug Craving and Relapse
Disrupting Drug Memories In drug recovery programs, conditioned responses to drug cues can be inhibited by extinction protocols. However, extinguished behavioral responses can return after renewedExpand
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Enhanced skeleton visualization for view invariant human action recognition
TLDR
Enhanced skeleton visualization method encodes spatio-temporal skeletons as visual and motion enhanced color images in a compact yet distinctive manner for view invariant human action recognition. Expand
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Resilient Distribution System by Microgrids Formation After Natural Disasters
TLDR
This paper proposes a novel distribution system operational approach by forming multiple microgrids energized by DG from the radial distribution system in real-time operations to restore critical loads from the power outage. Expand
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Compressed-sensing recovery of images and video using multihypothesis predictions
TLDR
In this paper, we considered how the high degree of spatial correlation in images and frame-to-frame temporal correlation in video signals can be exploited to enhance CS reconstruction. Expand
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PP1-mediated dephosphorylation of phosphoproteins at mitotic exit is controlled by inhibitor-1 and PP1 phosphorylation
Loss of cell division cycle 2 (Cdc2, also known as Cdk1) activity after cyclin B degradation is necessary, but not sufficient, for mitotic exit. Proteins phosphorylated by Cdc2 and downstream mitoticExpand
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Real-time human action recognition based on depth motion maps
TLDR
This paper presents a human action recognition method by using depth motion maps (DMMs). Expand
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