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We present OpenGlue: a free open-source framework for image matching, that uses a Graph Neural Network-based matcher inspired by SuperGlue \cite{sarlin20superglue}. We show that including additional geometrical information, such as local…

Computer Vision and Pattern Recognition · Computer Science 2022-04-20 Ostap Viniavskyi , Mariia Dobko , Dmytro Mishkin , Oles Dobosevych

Video-based bug reports are increasingly being used to document bugs for programs centered around a graphical user interface (GUI). However, developing automated techniques to manage video-based reports is challenging as it requires…

Software Engineering · Computer Science 2024-07-12 Yanfu Yan , Nathan Cooper , Oscar Chaparro , Kevin Moran , Denys Poshyvanyk

Identification of minimum number of local regions of a handwritten character image, containing well-defined discriminating features which are sufficient for a minimal but complete description of the character is a challenging task. A new…

Computer Vision and Pattern Recognition · Computer Science 2016-05-03 Ritesh Sarkhel , Amit K Saha , Nibaran Das

We propose HAMSI (Hessian Approximated Multiple Subsets Iteration), which is a provably convergent, second order incremental algorithm for solving large-scale partially separable optimization problems. The algorithm is based on a local…

Recombination is an important event in the evolution of HIV. It affects the global spread of the pandemic as well as evolutionary escape from host immune response and from drug therapy within single patients. Comprehensive computational…

Genomics · Quantitative Biology 2007-05-23 Niko Beerenwinkel , Colin N. Dewey , Kevin M. Woods

Popular text-to-image (T2I) systems are trained on web-scraped data, which is heavily Amero and Euro-centric, underrepresenting the cultures of the Global South. To analyze these biases, we introduce CuRe, a novel and scalable benchmarking…

Computer Vision and Pattern Recognition · Computer Science 2025-06-11 Aniket Rege , Zinnia Nie , Mahesh Ramesh , Unmesh Raskar , Zhuoran Yu , Aditya Kusupati , Yong Jae Lee , Ramya Korlakai Vinayak

The problem of cross-platform binary code similarity detection aims at detecting whether two binary functions coming from different platforms are similar or not. It has many security applications, including plagiarism detection, malware…

Cryptography and Security · Computer Science 2018-07-30 Xiaojun Xu , Chang Liu , Qian Feng , Heng Yin , Le Song , Dawn Song

Motif discovery is one of the most challenging problems in bioinformatics today. DNA sequence motifs are becoming increasingly important in analysis of gene regulation. Motifs are short, recurring patterns in DNA that have a biological…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-05-05 Umang Vipul

There is little debate about the importance of the ancestral recombination graph in population genetics. An important theoretical tool, the main obstacle to its widespread usage is the computational cost required to match the…

Populations and Evolution · Quantitative Biology 2026-05-14 Patrick Fournier , Fabrice Larribe

Streaming graphs are drawing increasing attention in both academic and industrial communities as many graphs in real applications evolve over time. Continuous subgraph matching (shorted as CSM) aims to report the incremental matches of a…

Data Structures and Algorithms · Computer Science 2023-04-26 Rongjian Yang , Zhijie Zhang , Weiguo Zheng , Jeffery Xu Yu

This paper introduces Tiramisu, a polyhedral framework designed to generate high performance code for multiple platforms including multicores, GPUs, and distributed machines. Tiramisu introduces a scheduling language with novel extensions…

Finger vein biometrics is an approach to identifying individuals based on the unique patterns of blood vessels in their fingers, and the technology is advanced in image capture and processing techniques, which is leading to more efficient,…

Image and Video Processing · Electrical Eng. & Systems 2024-05-21 George Kumi Kyeremeh , M. Abdul-Al , R. Qahwaji , R. A. Abd-Alhameed

Due to its low storage cost and fast query speed, cross-modal hashing (CMH) has been widely used for similarity search in multimedia retrieval applications. However, almost all existing CMH methods are based on hand-crafted features which…

Information Retrieval · Computer Science 2016-02-16 Qing-Yuan Jiang , Wu-Jun Li

The Smatch metric is a popular method for evaluating graph distances, as is necessary, for instance, to assess the performance of semantic graph parsing systems. However, we observe some issues in the metric that jeopardize meaningful…

Computation and Language · Computer Science 2025-10-17 Juri Opitz

Rapid development of modern sequencing platforms enabled an unprecedented growth of protein families databases. The abundance of sets composed of hundreds of thousands sequences is a great challenge for multiple sequence alignment…

Genomics · Quantitative Biology 2017-03-03 Sebastin Deorowicz , Agnieszka Debudaj-Grabysz , Adam Gudys

CSA is a web server for the comprehensive comparison of pairwise protein structure alignments. Its exact alignment engine computes either optimal, top-scoring alignments or heuristic alignments with quality guarantee for the inter-residue…

Quantitative Methods · Quantitative Biology 2012-02-14 Inken Wohlers , Noël Malod-Dognin , Rumen Andonov , Gunnar W. Klau

Analysis of the sequence-structure relationship in RNA molecules are essential to evolutionary studies but also to concrete applications such as error-correction methodologies in sequencing technologies. The prohibitive sizes of the…

Quantitative Methods · Quantitative Biology 2013-05-31 Vladimir Reinharz , Yann Ponty , Jérôme Waldispühl

Nanopore sequencing can read substantially longer sequences of nucleic acid molecules, called reads, than other sequencing methods, which has led to advances in genomic analysis such as the gapless human genome assembly. By analyzing the…

Genomics · Quantitative Biology 2026-05-21 Simon Ambrozak , Ulysse McConnell , Bhargav Srinivasan , Burak Ozkan , Ernest Zhang , Can Firtina

Background: While the importance of gene-gene interactions in human diseases has been well recognized, identifying them has been a great challenge, especially through association studies with millions of genetic markers and thousands of…

Quantitative Methods · Quantitative Biology 2015-05-07 Changshuai Wei , Qing Lu

In semi-supervised segmentation, capturing meaningful semantic structures from unlabeled data is essential. This is particularly challenging in histopathology image analysis, where objects are densely distributed. To address this issue, we…

Computer Vision and Pattern Recognition · Computer Science 2025-10-03 Meilong Xu , Xiaoling Hu , Shahira Abousamra , Chen Li , Chao Chen