Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVRP 2016)

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Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVRP 2016)

Curran Associates, Inc., 2016.

Under the general editorship: R. Chellappa, Z. Zhang, A. Hoogs

CVRP is the premiere annual Computer Vision event comprising the main CVRP conference and 27 co-located workshops and short courses.

Efficient Indexing of Billion-Scale datasets of deep descriptors

Babenko A., Lempitsky V., , in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVRP 2016).: Curran Associates, Inc., 2016. P. 2055–2063.

Existing billion-scale nearest neighbor search systems have mostly been compared on a single dataset of a billion of SIFT vectors, where systems based on the Inverted Multi-Index (IMI) have been performing very well, achieving state-of-the-art recall in several milliseconds. SIFT-like descriptors, however, are quickly being replaced with descriptors based on deep neural networks (DNN) that ...

Added: December 26, 2017

Priority areas: IT and mathematics

Language: English

Keywords: computer vision

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVRP 2016)

ML-based Fast Simulation of FARICH Responses

Shipilov F., Barnyakov A., Ivanov A. et al., / Series Physics "arxiv.org". 2026.

A fast simulation of the detector response is a vital task in high-energy physics (HEP). Traditional Monte-Carlo methods form the backbone of modern particle physics simulation software but are computationally expensive. We present a machine-learning-based approach to fast simulation of the Focusing Aerogel Ring Imaging Cherenkov (FARICH) detector response. Given a particle track and momentum, ...

Added: May 19, 2026

Natural hazard database from Internet publications: text mining with a large language model

Derkacheva A., Sakirkina M., Kraev G. et al., /. 2026.

Comprehensive data on natural hazards and their consequences are crucial for effective for risk assessment, adaptation planning, and emergency response. However, many countries face challenges with fragmented, inconsistent, and inaccessible data, particularly regarding local-scale events. To address this data gap in Russia, we developed an end-to-end processing pipeline that scrapes news from various online sources, ...

Added: April 28, 2026

Algorithmic overlaps as thermodynamic variables: from local to cluster Monte Carlo dynamics in critical phenomena

Pilé I., Deng Y., Shchur L., / Series arXiv "math". 2026. No. 2604.10254.

We investigate the spatial overlap of successive spin configurations in Markov chain Monte Carlo simulations using the local Metropolis algorithm and the Svendsen-Wang and Wolff cluster algorithms. We examine the dynamics of these algorithms for two models in different universality classes: the Ising model and the Potts model with three components. The overlap of two ...

Added: April 20, 2026

Using predefined vector systems to speed up neural network multimillion class classification

Gabdullin N., Androsov I., / Series Computer Science "arxiv.org". 2026.

Label prediction in neural networks (NNs) has O(n) complexity proportional to the number of classes. This holds true for classification using fully connected layers and cosine similarity with some set of class prototypes. In this paper we show that if NN latent space (LS) geometry is known and possesses specific properties, label prediction complexity can ...

Added: April 2, 2026

Iterative Ricci-Foster Curvature Flow with GMM-Based Edge Pruning: A Novel Approach to Community Detection

Sorokin K., Beketov M., Онучин А. et al., / arxiv.org. Серия cs.SI "Social and Information Networks ". 2025.

Community detection in complex networks is a fundamental problem, open to new approaches in various scientific settings. We introduce a novel community detection method, based on Ricci flow on graphs. Our technique iteratively updates edge weights (their metric lengths) according to their (combinatorial) Foster version of Ricci curvature computed from effective resistance distance between the ...

Added: January 15, 2026

Implementing Transport Coding in OMNeT++ for Message Delay Reduction

Petrovanov I., Sergeev A., / Series Computer Science "arxiv.org". 2025. No. 2512.18332.

Transport coding reduces message delay in packet-switched networks by introducing controlled redundancy at the transport layer: original packets are encoded into coded packets, and the message is reconstructed after the first successful deliveries, effectively shifting latency from the maximum packet delay to the -th order statistic. We present a concise, reproducible discrete-event implementation of transport coding in OMNeT++, including ...

Added: December 24, 2025

Ансамбль современных моделей компьютерного зрения для задачи обнаружения дипфейков

Pikul A. S., Безопасность информационных технологий 2024 Т. 31 № 4 С. 116–127

This article explores the potential use of modern computer vision architectures for the task of deepfake detection. The following architectures are considered: EfficientNet, Vision Transformer (ViT), VisionLSTM (ViL), Vision KAN, and Mamba Vision. The novelty of the approach lies in the application and comparison of these architectures, as well as their combination into paired ensembles ...

Added: December 12, 2025

Hessian-based lightweight neural network for brain vessel segmentation on a minimal training dataset

Меньшиков И. А., Бернадотт А. К., Elvimov N. S., / Series arXie "Statistical mechanics". 2025.

Accurate segmentation of blood vessels in brain magnetic resonance angiography (MRA) is essential for successful surgical procedures, such as aneurysm repair or bypass surgery. Currently, annotation is primarily performed through manual segmentation or classical methods, such as the Frangi filter, which often lack sufficient accuracy. Neural networks have emerged as powerful tools for medical image ...

Added: December 1, 2025

2026 IEEE/CVF Winter Conference on Applications of Computer Vision

[б.и.], 2026.

The Winter Conference on Applications of Computer Vision is the premier international computer vision event comprising the main conference and several co-located workshops and tutorials. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers. ...

Added: November 24, 2025

Determining the boundary of dynamical chaos in the generalized Chirikov map via machine learning

Chernyshov D., Satanin A., Shchur L., / Series arXiv "math". 2025.

We investigate the boundary separating regular and chaotic dynamics in the generalized Chirikov map, an extension of the standard map with phase-shifted secondary kicks. Lyapunov maps were computed across the parameter space (K,K(α, τ)) and used to train a convolutional neural network (ResNet18) for binary classification of dynamical regimes. The model reproduces the known critical ...

Added: November 21, 2025

Эффективный алгоритм торговли на фондовом рынке: ретроспективный анализ, основанный на данных по S&P-500.

Rubchinskiy A., Chubarova D., / Series WP7 "Математические методы анализа решений в экономике, бизнесе и политике". 2025. No. WP7/2025/01.

The article examines one of the most famous examples of socio-economic systems, characterized by significant uncertainty – the S&P-500 stock market, where shares of 500 largest US companies are traded. No assumptions are made about the probabilistic characteristics of the stock market. A flexible algorithm for daily trading has been developed, based on both known fixed data ...

Added: November 9, 2025

2025 2nd International Conference on Intelligent Computing and Robotics (ICICR)

Dalian: IEEE, 2025.

The increasing complexity of modern software development necessitates intelligent, automated security analysis frameworks that can effectively pay attention of human on high-risk software releases. This paper introduces a Multi Agent System (MAS) framework designed to enhance the security assessment process by leveraging artificial intelligence (AI) and intelligent computing for real-time release analysis. The proposed system ...

Added: November 3, 2025

Diffusion on language model embeddings for protein sequence generation

Meshchaninov V., Strashnov, P., Shevtsov A. et al., / Cornell University. Серия CoRR, arXiv:2403.03726 "Computing Research Repository,". 2025.

Protein design requires a deep understanding of the inherent complexities of the protein universe. While many efforts lean towards conditional generation or focus on specific families of proteins, the foundational task of unconditional generation remains underexplored and undervalued. Here, we explore this pivotal domain, introducing DiMA, a model that leverages continuous diffusion on embeddings derived ...

Added: October 5, 2025

Smoothie: Smoothing Diffusion on Token Embeddings for Text Generation

Shabalin A., Meshchaninov V., Vetrov D., / Series cs.CL, arXiv:2505.18853 "Computation and Language". 2025.

Diffusion models have achieved state-of-the-art performance in generating images, audio, and video, but their adaptation to text remains challenging due to its discrete nature. Prior approaches either apply Gaussian diffusion in continuous latent spaces, which inherits semantic structure but struggles with token decoding, or operate in categorical simplex space, which respect discreteness but disregard semantic ...

Added: October 5, 2025

VTM-GAN: video-text matcher based generative adversarial network for generating videos from textual description

- Р. М., International Journal of Information Technology (Singapore) 2024 Article 1

Added: October 1, 2025

A Feature Engineering Framework for Computer Vision Based on Topological Data Analysis

Абрамов А. С., Chernyshev V. L., Mikhaylets E. et al., / Series Social Science Research Network "Social Science Research Network". 2025.

Computer vision is one of the most relevant modern research areas with broad practical applications. However, traditional solutions based on deep learning have signicant limitations and can be misleading. Topological data analysis, on the other hand, is a modern approach to solving similar problems using mathematically deterministic methods of algebraic topology that reduce the risk ...

Added: September 23, 2025

On the construction of frieze patterns from partitions of convex polygons by nonintersecting diagonals

Kochetkov Y., / Series arXiv.org e-print archive "arXiv.math". 2025. No. 07600.

We demonstrate in an elementary way how to construct a frieze pattern of width m-3 from a partition of a convex m-gon by not intersecting diagonals. ...

Added: September 17, 2025

On one property of Catalan numbers

Kochetkov Y., / Series arXiv.org e-print archive "arXiv.math". 2025. No. 20584.

We give a new proof of the following statement: the Catalan number C_n is divisible by n+2, if n is odd and n<> 3k+1. ...

Added: September 9, 2025

Software and hardware solution for the problem of searching for lost people based on UAV data

Slastnikov S., Petr Rybakov, Matvei Antonov et al., , in: 24th International Conference, NEW2AN 2024, and 17th Conference, ruSMART 2024, Marrakesh, Morocco, December 11–12, 2024, Proceedings, Part I. Internet of Things, Smart Spaces, and Next Generation Networks and Systems. (LNCS, volume 15554)* 1.: Cham: Springer, 2025. P. 11–18.

An algorithmic and architectural solution is presented for the Search And Rescue (SAR) problem in open areas using image data from UAVs in real time. The solution is an original software and hardware complex that includes a UAV, on-board deployed machine vision application with a novel object detection model and a transmitter to send coordinates ...

Added: June 11, 2025

Computer Vision – ECCV 2024 Workshops, Milan, Italy, September 29–October 4, 2024, Proceedings, Part VII. (LNCS, volume 15629)

Springer, 2025.

The multi-volume set LNCS 15623 until LNCS 15646 constitutes the proceedings of the workshops that were held in conjunction with the 18th European Conference on Computer Vision, ECCV 2024, which took place in Milan, Italy, during September 29–October 4, 2024. These LNCS volumes contain 574 accepted papers from 53 of the 73 workshops. The list of ...

Added: June 1, 2025

Generation of Artificial Images of Cross Sections of WC/Co Composite Alloys Using Diffusion Networks

Kagramanyan D., Shchur L., Lobachevskii Journal of Mathematics 2025 Vol. 46 No. 3 P. 1315–1321

The study of statistical properties of microstructures of composite materials is carried out by analysing microphotographs of material cuts. The obtained two-dimensional structure represents cuts of composite elements, the geometrical properties of which can be studied by computer vision methods. Hundreds of micro-images can be collected from one microstructure, which allows to study statistical properties ...

Added: January 13, 2025

18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part LXXXIX. Computer Vision - ECCV 2024. (LNCS, volume 15147)

Springer, 2024.

Added: December 9, 2024

Development of a Detector for Stamps on Images

Kseniia Prokudina, Mikhail Skriplyonok, Alexander Vostrikov, , in: 2024 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM), 20-24 May 2024.: IEEE, 2024. P. 865–869.

Added: November 26, 2024

18th European Conference, Milan, Italy, September 29–October 4, 2024, Proceedings, Part LXXI. Computer Vision – ECCV 2024. (LNCS, volume 15129)

Springer, 2024.

The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29–October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal ...

Added: November 26, 2024