15 citations · 38 across the 8 of their papers we have counts for
17 papers
Fast matrix multiplication for binary and ternary CNNs on ARM CPU
Anton Trusov, Elena Limonova, Dmitry Nikolaev +1
Low-bit quantized neural networks are of great interest in practical applications because they significantly reduce the consumption of both memory and computational resources. Bina…
Advanced Hough-based method for on-device document localization
D. V. Tropin, A. M. Ershov, D. P. Nikolaev +1
The demand for on-device document recognition systems increases in conjunction with the emergence of more strict privacy and security requirements. In such systems, there is no dat…
ProLab: perceptually uniform projective colour coordinate system
Ivan A. Konovalenko, Anna A. Smagina, Dmitry P. Nikolaev +1
In this work, we propose proLab: a new colour coordinate system derived as a 3D projective transformation of CIE XYZ. We show that proLab is far ahead of the widely used CIELAB coo…
Illumination Estimation Challenge: experience of past two years
Egor Ershov, Alex Savchik, Ilya Semenkov +15
Illumination estimation is the essential step of computational color constancy, one of the core parts of various image processing pipelines of modern digital cameras. Having an acc…
ResNet-like Architecture with Low Hardware Requirements
Elena Limonova, Daniil Alfonso, Dmitry Nikolaev +1
One of the most computationally intensive parts in modern recognition systems is an inference of deep neural networks that are used for image classification, segmentation, enhancem…
Fast Implementation of 4-bit Convolutional Neural Networks for Mobile Devices
Anton Trusov, Elena Limonova, Dmitry Slugin +2
Quantized low-precision neural networks are very popular because they require less computational resources for inference and can provide high performance, which is vital for real-t…