Julien Malik

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We present a model of human preattentive texture perception. This model consists of three stages: (1) convolution of the image with a bank of even-symmetric linear filters followed by half-wave rectification to give a set of responses modeling outputs of V1 simple cells, (2) inhibition, localized in space, within and among the neural-response profiles that(More)
In this paper, we investigate different architectures for an efficient object detection processing chain for high resolution remote sensing imagery, inspired from work in natural images where object detection has reached an almost operational state. Such a processing chain consists of several tasks, and for each of them, one or more methods are proposed in(More)
Vision extracts useful information from images. Reconstructing the three-dimensional structure of our environment and recognizing the objects that populate it are among the most important functions of our visual system. Computer vision researchers study the computational principles of vision and aim at designing algorithms that reproduce these functions.(More)
The task of automatically or semi-automatically deriving land-cover and land-use maps is difficult to achieve in the context of high spatial resolution images. The level of details that can be observed as well as the diversity of objects in the images imply to define many classes. Moreover, the pixel or neighborhood based approaches are not able to capture(More)
Processing large very high-resolution remote sensing images on resource-constrained devices is a challenging task because of the large size of these data sets. For applications such as environmental monitoring or natural resources management, complex algorithms have to be used to extract information from the images. The memory required to store the images(More)
Large scale segmentation remains a challenging task because of time and memory consuming. A usual strategy to process efficiently a large volume of data is to divide into chunks to be processed separately, either sequentially to reduce memory footprint or in parallel in order to speed up the computation. In image processing in general this boils down to(More)
In this paper, the problem of combining estimates provided by multiple models is considered, with application to vehicle tracking. Two tracking systems, based on the bounding-box and on the 2-D pattern of the targets, provide individual motion parameters estimates to the combining method, which in turn produces a global estimate. Two methods are proposed to(More)
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