Mustapha Derras

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We present the design and evaluation of the Roly-Poly Mouse (RPM), a rolling input device that combines the advantages of the mouse (position displacement) and of 3D devices (roll and rotation) to unify 2D and 3D interaction. Our first study explores RPM gesture amplitude and stability for different upper shapes (Hemispherical, Convex) and hand postures. 8(More)
This paper deals with digital archiving of cemetery heritage. A built cemetery is a tangible evidence of historical and cultural periods through the style and the shape of tombs. It gives quantitative information on the local population, about its history (by reading birth and death dates), its culture (by analysing name typology) and its temporal evolution(More)
In this paper, we deal with the problem of object detection in aerial images. A lot of efficient approaches uses a cascade of classifiers which process vectors of descriptive features such as HOG. In order to take into account the variability in object dimension, features at different resolutions are often concatenated in a large descriptor vector. This(More)
Numerous interaction devices are designed through device composition. However, there is no conceptual support for this process and designers are left out to explore the space of combinations in an ad-hoc manner. In this paper we propose a design space for device composition, DECO, which focuses on the physical aspects of the composition. This design space(More)
Today, with the higher computing power of CPUs and GPUs, many different neural network architectures have been proposed for object detection in images. However, these networks are often not optimized to process color information. In this paper, we propose a new method based on an SVM network, that efficiently extracts this color information. We describe(More)
Deep neural networks yield positive object detection results in aerial imaging. To deal with the massive computational time required, we propose to connect an SVM Network to the different feature maps of a CNN. After the training of this SVM Network, we use an activation path to cross the network in a predefined order. We stop the crossing as quickly as(More)
Standard Remote Sensing analysis uses machine learning methods such as SVMs with HOG or SIFT descriptors, but in recent years neural networks are emerging as a key tool regarding the detection of objects. Due to the heterogeneity of remote sensing information (optical, infrared, DSM) the combination of multi-source data is still an open issue. In this(More)
This paper presents the design of a new device, DISCO. In addition to the traditionnal mouse capabilities, DISCO offers multiple degrees of freedom suitable for multidimensioannl data manipulation. We present various usage scenarios and explore the handling of this device through two studies. First we observe the user's hand posture on three versions of(More)
Designing or reengineering class models in the domain of programming or modeling involves capturing technical and domain concepts, finding the right abstractions and avoiding duplications. Making this last task in a systematic way corresponds to a kind of model normalization. Several approaches have been proposed, that all converge towards the use of Formal(More)
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