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Articulated objects are prevalent in daily life and robotic manipulation tasks. However, compared to rigid objects, pose tracking for articulated objects remains an underexplored problem due to their inherent kinematic constraints. To…

Computer Vision and Pattern Recognition · Computer Science 2025-11-13 Xianhui Meng , Yukang Huo , Li Zhang , Liu Liu , Haonan Jiang , Yan Zhong , Pingrui Zhang , Cewu Lu , Jun Liu

Traces and their extension called combined traces (comtraces) are two formal models used in the analysis and verification of concurrent systems. Both models are based on concepts originating in the theory of formal languages, and they are…

Logic in Computer Science · Computer Science 2015-07-01 Lukasz Mikulski

Many real-world problems can be naturally described by mathematical formulas. The task of finding formulas from a set of observed inputs and outputs is called symbolic regression. Recently, neural networks have been applied to symbolic…

Machine Learning · Computer Science 2022-10-24 Martin Vastl , Jonáš Kulhánek , Jiří Kubalík , Erik Derner , Robert Babuška

Providing intelligent support to surgical teams is a key frontier in automated surgical scene understanding, with the long-term goal of improving patient outcomes. Developing personalized intelligence for all staff members requires…

Computer Vision and Pattern Recognition · Computer Science 2025-08-12 Tony Danjun Wang , Christian Heiliger , Nassir Navab , Lennart Bastian

We describe TensoriaCalc, a tensor calculus package written to be smoothly consistent with the Wolfram Language, so as to ensure ease of usage. It allows multiple metrics to be defined in a given session; and, once a metric is computed,…

General Relativity and Quantum Cosmology · Physics 2025-12-23 Wei-Hao Chen , Yi-Zen Chu , Vaidehi Varma

Garments are important to humans. A visual system that can estimate and track the complete garment pose can be useful for many downstream tasks and real-world applications. In this work, we present a complete package to address the…

Computer Vision and Pattern Recognition · Computer Science 2025-04-16 Han Xue , Wenqiang Xu , Jieyi Zhang , Tutian Tang , Yutong Li , Wenxin Du , Ruolin Ye , Cewu Lu

In video object tracking, there exist rich temporal contexts among successive frames, which have been largely overlooked in existing trackers. In this work, we bridge the individual video frames and explore the temporal contexts across them…

Computer Vision and Pattern Recognition · Computer Science 2021-03-25 Ning Wang , Wengang Zhou , Jie Wang , Houqaing Li

This paper addresses the problem of appearance matching across different challenges while doing visual face tracking in real-world scenarios. In this paper, FaceTrack is proposed that utilizes multiple appearance models with its long-term…

Computer Vision and Pattern Recognition · Computer Science 2018-08-31 Tanushri Chakravorty , Guillaume-Alexandre Bilodeau , Eric Granger

We present two numerical schemes for passive tracer particles in the hydrodynamical moving-mesh code AREPO, and compare their performance for various problems, from simple setups to cosmological simulations. The purpose of tracer particles…

Instrumentation and Methods for Astrophysics · Physics 2013-08-20 Shy Genel , Mark Vogelsberger , Dylan Nelson , Debora Sijacki , Volker Springel , Lars Hernquist

We present a compressed data structure to store free trajectories of moving objects (ships over the sea, for example) allowing spatio-temporal queries. Our method, GraCT, uses a $k^2$-tree to store the absolute positions of all objects at…

Data Structures and Algorithms · Computer Science 2016-12-13 Nieves R. Brisaboa , Adrián Gómez-Brandón , Gonzalo Navarro , José R. Paramá

Matrices and more generally multidimensional arrays, form the backbone of computational studies. In this paper we demonstrate increases in computational efficiency by performing partial-tracing/tensor-contractions on sparse-arrays. It was…

Data Structures and Algorithms · Computer Science 2023-03-21 Julio Candanedo

The paper focuses on a classical tracking model, subspace learning, grounded on the fact that the targets in successive frames are considered to reside in a low-dimensional subspace or manifold due to the similarity in their appearances. In…

Computer Vision and Pattern Recognition · Computer Science 2022-04-19 Yao Sui , Guanghui Wang , Li Zhang

Detection-based tracking is one of the main methods of multi-object tracking. It can obtain good tracking results when using excellent detectors but it may associate wrong targets when facing overlapping and low-confidence detections. To…

Computer Vision and Pattern Recognition · Computer Science 2023-05-17 Huan Mao , Yulin Chen , Zongtan Li , Feng Chen , Pingping Chen

In this paper, we present a new tracking architecture with an encoder-decoder transformer as the key component. The encoder models the global spatio-temporal feature dependencies between target objects and search regions, while the decoder…

Computer Vision and Pattern Recognition · Computer Science 2021-04-01 Bin Yan , Houwen Peng , Jianlong Fu , Dong Wang , Huchuan Lu

Tracers provide users with useful information about program executions. In this article, we propose a ``tracer driver''. From a single tracer, it provides a powerful front-end enabling multiple dynamic analysis tools to be easily…

Software Engineering · Computer Science 2008-12-18 Ludovic Langevine , Mireille Ducasse

Recent advances in transformer-based lightweight object tracking have established new standards across benchmarks, leveraging the global receptive field and powerful feature extraction capabilities of attention mechanisms. Despite these…

Computer Vision and Pattern Recognition · Computer Science 2026-01-15 Junze Shi , Yang Yu , Jian Shi , Haibo Luo

We present a prototype of an integrated reasoning environment for educational purposes. The presented tool is a fragment of a proof assistant and automated theorem prover. We describe the existing and planned functionality of the theorem…

Human-Computer Interaction · Computer Science 2018-03-06 Mario Frank , Christoph Kreitz

Decoder-only methods, such as GPT, have demonstrated superior performance in many areas compared to traditional encoder-decoder structure transformer methods. Over the years, end-to-end methods based on the traditional transformer…

Computer Vision and Pattern Recognition · Computer Science 2025-07-10 Liao Pan , Yang Feng , Zhao Wenhui , Yua Jinwen , Zhang Dingwen

Fast, incremental evolution of physics instrumentation raises the question of efficient software abstraction and transferability of algorithms across similar technologies. This contribution aims to provide an answer by introducing Track…

Instrumentation and Detectors · Physics 2024-01-08 Petr Mánek , Petr Burian , Eric David-Bosne , Petr Smolyanskiy , Benedikt Bergmann

Tables organize valuable content in a concise and compact representation. This content is extremely valuable for systems such as search engines, Knowledge Graph's, etc, since they enhance their predictive capabilities. Unfortunately, tables…

Computer Vision and Pattern Recognition · Computer Science 2022-03-14 Ahmed Nassar , Nikolaos Livathinos , Maksym Lysak , Peter Staar