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Found 5 papers, 0 papers with code
Understanding the Quality of Container Security Vulnerability Detection Tools
Therefore, in this study, we investigate the quality of existing container scanning tools by proposing two metrics that reflects coverage and accuracy.
Vulnerability Detection
Cryptography and Security
Depth Extraction from Videos Using Geometric Context and Occlusion Boundaries
We propose to learn and infer depth in videos from appearance, motion, occlusion boundaries, and geometric context of the scene.
Pedestrian Detection in Low-resolution Imagery by Learning Multi-scale Intrinsic Motion Structures (MIMS)
In this paper, we give a comparative evaluation of the proposed method and demonstrate that MIMS outperforms the state of the art approaches in identifying pedestrians from low resolution airborne videos.
3D Visual Proxemics: Recognizing Human Interactions in 3D from a Single Image
g Unlike previous approaches that directly map people/face locations in 2D image space into features for classification, we first estimate camera viewpoint and people positions in 3D space and then extract spatial configuration features from explicit 3D people positions.
Video Object Segmentation through Spatially Accurate and Temporally Dense Extraction of Primary Object Regions
The proposed approach has several contributions: First, a novel layered Directed Acyclic Graph (DAG) based framework is presented for detection and segmentation of the primary object in video.
