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Scene recognition is an important and challenging task in computer vision. We propose an end-to-end pipeline by combing convolutional neural networks (CNNs) with explicit attention model to determine several meaningful regions of original images for scene recognition. In the proposed pipeline, the spatial transformer network is leveraged as the attention module, which can automatically learn the scales...
Underground pipeline network suffered severe breakages caused by external road excavation equipments in the mainland of China in nowadays. The frequent underground pipeline network breakages caused serious economic loss to urban living and industry manufacturers. Therefore, designing a surveillance system which can automatically detect potential damages caused by excavation equipments is essential...
In this paper, our goal is to speed up a standard sliding window detector while maintaining detection accuracies. We do this by decomposing its weight template into multiple component detectors with no redundancy. Each component detector captures partial discriminative appearance, and they can be used in a cascade detection pipeline to aggressively reduce the size of search space. We formulate the...
Extracting opinion words and opinion targets from online reviews is an important task for fine-grained opinion mining. Usually, traditional extraction methods under the pipeline-based framework have higher precision but lower recall, while methods in the propagation-based framework possess greater recall but poorer precision. To achieve better performance both in precision and recall, this paper proposes...
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