31 citations · 115 across the 19 of their papers we have counts for
5 papers · 1 filter
WESPE: Weakly Supervised Photo Enhancer for Digital Cameras
Andrey Ignatov, Nikolay Kobyshev, Radu Timofte +2
Low-end and compact mobile cameras demonstrate limited photo quality mainly due to space, hardware and budget constraints. In this work, we propose a deep learning solution that tr…
A Large-Scale CNN Ensemble for Medication Safety Analysis
Liliya Akhtyamova, Andrey Ignatov, John Cardiff
Revealing Adverse Drug Reactions (ADR) is an essential part of post-marketing drug surveillance, and data from health-related forums and medical communities can be of a great signi…
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…
DSLR-Quality Photos on Mobile Devices with Deep Convolutional Networks
Andrey Ignatov, Nikolay Kobyshev, Radu Timofte +2
Despite a rapid rise in the quality of built-in smartphone cameras, their physical limitations - small sensor size, compact lenses and the lack of specific hardware, - impede them…
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…