3 accepted papers
Deep neural networks have shown great achievements in solving complex problems. However, there are fundamental challenges which limit their real world applications. Lack of a measurable criterion for estimating uncertainty of the network predictions is one of these challenges. However, we can comput…
Sparse representations over redundant dictionaries have shown to produce high quality results in various signal and image processing tasks. Recent advancements in learning of the sparsifying dictionaries have made image compression based on sparse representation a promising field. In this paper, we…
Despite the rapid growth of 3D displays in the last few years, insufficient supply of 3D contents has led to considerable effort in devising 2D to 3D conversion algorithms. Inferring associated depth from single 2D image is still a controversial issue in these algorithms. In this paper we propose an…