activity
20182022
most citedMIDV-2019: Challenges of the modern mobile-based document OCR

50 citations · 76 across the 9 of their papers we have counts for

collaborators

12 papers

cs.LG20222 cited

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…

cs.CV202115 cited

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…

cs.CV2020

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…

cs.CV2020

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…

cs.CV2020

Fast Approximate Modelling of the Next Combination Result for Stopping the Text Recognition in a Video

Konstantin Bulatov, Nadezhda Fedotova, Vladimir V. Arlazarov

In this paper, we consider a task of stopping the video stream recognition process of a text field, in which each frame is recognized independently and the individual results are c…

cs.DC20207 cited

Fast Implementation of Morphological Filtering Using ARM NEON Extension

Elena Limonova, Arseny Terekhin, Dmitry Nikolaev +1

In this paper we consider speedup potential of morphological image filtering on ARM processors. Morphological operations are widely used in image analysis and recognition and their…