26 citations · 102 across the 15 of their papers we have counts for
9 papers · 1 filter
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…
Line detection via a lightweight CNN with a Hough Layer
Lev Teplyakov, Kirill Kaymakov, Evgeny Shvets +1
Line detection is an important computer vision task traditionally solved by Hough Transform. With the advance of deep learning, however, trainable approaches to line detection beca…
Approach for Document Detection by Contours and Contrasts
Daniil V. Tropin, Sergey A. Ilyuhin, Dmitry P. Nikolaev +1
This paper considers arbitrary document detection performed on a mobile device. The classical contour-based approach often fails in cases featuring occlusion, complex background, o…
Accelerated FBP for computed tomography image reconstruction
Anastasiya Dolmatova, Marina Chukalina, Dmitry Nikolaev
Filtered back projection (FBP) is a commonly used technique in tomographic image reconstruction demonstrating acceptable quality. The classical direct implementations of this algor…
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…
Computational optimization of convolutional neural networks using separated filters architecture
Elena Limonova, Alexander Sheshkus, Dmitry Nikolaev
This paper considers a convolutional neural network transformation that reduces computation complexity and thus speedups neural network processing. Usage of convolutional neural ne…
Vanishing Point Detection with Direct and Transposed Fast Hough Transform inside the neural network
A. Sheshkus, A. Chirvonaya, D. Matveev +2
In this paper, we suggest a new neural network architecture for vanishing point detection in images. The key element is the use of the direct and transposed Fast Hough Transforms s…