664 citations
- Moscow Institute of Physics and TechnologyRU91 papers
- P.N. Lebedev Physical Institute of the Russian Academy of SciencesRU58 papers
- National Research University Higher School of EconomicsRU39 papers
- Kurchatov InstituteRU38 papers
- Institute for Theoretical and Experimental PhysicsRU28 papers
- Landau Institute for Theoretical PhysicsRU19 papers
- Lomonosov Moscow State UniversityRU17 papers
- Russian Academy of SciencesRU13 papers
- National Research Nuclear University MEPhIRU12 papers
- Skolkovo Institute of Science and TechnologyRU12 papers
- Steklov Mathematical InstituteRU11 papers
- Centre National de la Recherche ScientifiqueFR9 papers
9 papers · 1 filter
LSDNet: Trainable Modification of LSD Algorithm for Real-Time Line Segment Detection
Lev Teplyakov, Leonid Erlygin, Evgeny Shvets
As of today, the best accuracy in line segment detection (LSD) is achieved by algorithms based on convolutional neural networks - CNNs. Unfortunately, these methods utilize deep, h…
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…
The Cube++ Illumination Estimation Dataset
Egor Ershov, Alex Savchik, Illya Semenkov +6
Computational color constancy has the important task of reducing the influence of the scene illumination on the object colors. As such, it is an essential part of the image process…
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…
Linear colour segmentation revisited
Anna Smagina, Valentina Bozhkova, Sergey Gladilin +1
In this work we discuss the known algorithms for linear colour segmentation based on a physical approach and propose a new modification of segmentation algorithm. This algorithm is…