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Automatically learning usage behavior and generating event sequences for black-box testing of reactive systems
(The ACM Digital Library, 2019-06)
We propose a novel technique based on recurrent artificial neural networks to generate test cases for black-box testing of reactive systems. We combine functional testing inputs that are automatically generated from a model ...
Hierarchically constrained 3D hand pose estimation using regression forests from single frame depth data
(Elsevier, 2014-12-01)
The emergence of inexpensive 2.5D depth cameras has enabled the extraction of the articulated human body pose. However, human hand skeleton extraction still stays as a challenging problem since the hand contains as many ...
VISOR: A fast image processing pipeline with scaling and translation invariance for test oracle automation of visual output systems
(The ACM Digital Library, 2018-02)
A test oracle automation approach proposed for systems that produce visual output.Root causes of accuracy issues analyzed for test oracles based on image comparison.Image processing techniques employed to improve the ...
Introduction of a spatio-temporal mapping based POE method for outdoor spaces: Suburban university campus as a case study
(Elsevier, 2018-11)
Outdoor spaces are important to sustainable cities because they establish a common identity for social life by improving quality of urban living. The relation between outdoor spaces and building groups, competency, use ...
Pedestrian tracking in outdoor spaces of a suburban university campus for the investigation of occupancy patterns
(Elsevier, 2019-02)
The design of a livable and comfortable environment has been one of the main aims of sustainable university campus design. The creation of outdoor spaces for accommodating amenities has a positive effect on users with ...
Autotuning runtime specialization for sparse matrix-vector multiplication
(ACM, 2016-04)
Runtime specialization is used for optimizing programs based on partial information available only at runtime. In this paper we apply autotuning on runtime specialization of Sparse Matrix-Vector Multiplication to predict ...
ADVISOR: An adjustable framework for test oracle automation of visual output systems
(IEEE, 2020-09)
Test oracles differentiate between the correct and incorrect system behavior. Automation of test oracles for visual output systems mainly involves image comparison, where a snapshot of the output is compared with respect ...
Alt kesit seviyeleri arasında oy çoğunluğu ile sahne tanıma
(2016)
In this paper, scene recognition problem, which is a frequently-studied field of computer vision, is tackled. Proposed algorithm utilizes bag of words (BoW) method along with considering sub-segments in the image during ...
Instagram filter removal on fashionable images
(IEEE, 2021-06)
Social media images are generally transformed by filtering to obtain aesthetically more pleasing appearances. However, CNNs generally fail to interpret both the image and its filtered version as the same in the visual ...
Patch-wise contrastive style learning for instagram filter removal
(IEEE, 2022)
Image-level corruptions and perturbations degrade the performance of CNNs on different downstream vision tasks. Social media filters are one of the most common resources of various corruptions and perturbations for real-world ...
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