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Deep convolutional neural networks have achieved significant improvements on face recognition task due to their ability to learn highly discriminative features from tremendous amounts of face images. Many large scale face datasets exhibit long-tail distribution where a small number of entities (persons) have large number of face images while a large number of persons only have very few face samples...
Vision-based vehicle detection and classification is an important problem in machine vision and attracted widespread attention due to its wide range of applications in intelligent traffic system. Most of the current vehicle type classification methods require to precisely locate car positions and use the cropped car regions as input. In this paper, we propose deep convolutional neural networks for...
This paper proposes a new affine registration algorithm for 2D point matching. It is a two-step iterative registration algorithm by soft weight assignment based on bidirectional distance. At each iteration, the affine transformation is updated by two optimization steps, in which the model data and the test data are matched from each other respectively. By the optimization of registration at separate...
In our previous works, a structural pronunciation representation was proposed to extract the linguistic features from dialect pronunciation and classify speakers based on their dialects. In this paper, in order to prove that the structural method can extract the purely speaker-invariant dialectal features, several new experiments are carried out. First, using the data of 19 speakers from different...
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