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Articulated human pose estimation is a fundamental yet challenging task in computer vision. The difficulty is particularly pronounced in scale variations of human body parts when camera view changes or severe foreshortening happens. Although pyramid methods are widely used to handle scale changes at inference time, learning feature pyramids in deep convolutional neural networks (DCNNs) is still not...
Textual-visual matching aims at measuring similarities between sentence descriptions and images. Most existing methods tackle this problem without effectively utilizing identity-level annotations. In this paper, we propose an identity-aware two-stage framework for the textual-visual matching problem. Our stage-1 CNN-LSTM network learns to embed cross-modal features with a novel Cross-Modal Cross-Entropy...
Existing person re-identification benchmarks and methods mainly focus on matching cropped pedestrian images between queries and candidates. However, it is different from real-world scenarios where the annotations of pedestrian bounding boxes are unavailable and the target person needs to be searched from a gallery of whole scene images. To close the gap, we propose a new deep learning framework for...
Traditional classification algorithms often perform well when training and testing data are drawn from the identical distribution. However, in real applications, this condition may be not satisfied. Domain adaptation is an effective approach to deal with this problem. In this paper, we propose an efficient two-stage algorithm for domain adaptation. In the label transfer stage, we utilize training...
With the development of educational technology, more and more modern science and technology begins to be applied in teaching and training. Based on introduction of the definition and characters of virtual reality (VR) technology, the VR technology was introduced into the field of teaching and training. The application circumstance of VR in teaching and training was also discussed. Using VR technology,...
In order to reduce the computational cost of engineering analysis in the reliability assessment of structures, the response surface method (RSM) has been widely used in the literatures. This work examines the application of support vector machine (SVM) to the reliability assessment of structures. A new SVM based RSM is proposed for structural reliability assessment, in which an efficient sampling...
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