31 citations · 32 across the 3 of their papers we have counts for
4 papers
Virtually Enriched NYU Depth V2 Dataset for Monocular Depth Estimation: Do We Need Artificial Augmentation?
Dmitry Ignatov, Andrey Ignatov, Radu Timofte
We present ANYU, a new virtually augmented version of the NYU depth v2 dataset, designed for monocular depth estimation. In contrast to the well-known approach where full 3D scenes…
Controlling Information Capacity of Binary Neural Network
Dmitry Ignatov, Andrey Ignatov
Despite the growing popularity of deep learning technologies, high memory requirements and power consumption are essentially limiting their application in mobile and IoT areas. Whi…
Decision Stream: Cultivating Deep Decision Trees
Dmitry Ignatov, Andrey Ignatov
Various modifications of decision trees have been extensively used during the past years due to their high efficiency and interpretability. Tree node splitting based on relevant fe…
Automatic Analysis, Decomposition and Parallel Optimization of Large Homogeneous Networks
Dmitry Yu. Ignatov, Alexander N. Filippov, Andrey D. Ignatov +1
The life of the modern world essentially depends on the work of the large artificial homogeneous networks, such as wired and wireless communication systems, networks of roads and p…