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Soft tissue tracking is crucial for computer-assisted interventions. Existing approaches mainly rely on extracting discriminative features from the template and videos to recover corresponding matches. However, it is difficult to adopt…

计算机视觉与模式识别 · 计算机科学 2024-05-27 Jiaxin Guo , Jiangliu Wang , Zhaoshuo Li , Tongyu Jia , Qi Dou , Yun-Hui Liu

Many surface reconstruction methods incorporate normal integration, which is a process to obtain a depth map from surface gradients. In this process, the input may represent a surface with discontinuities, e.g., due to self-occlusion. To…

计算机视觉与模式识别 · 计算机科学 2024-04-05 Hyomin Kim , Yucheol Jung , Seungyong Lee

Deep neural operators can learn nonlinear mappings between infinite-dimensional function spaces via deep neural networks. As promising surrogate solvers of partial differential equations (PDEs) for real-time prediction, deep neural…

机器学习 · 计算机科学 2023-05-17 Min Zhu , Handi Zhang , Anran Jiao , George Em Karniadakis , Lu Lu

Modern multi-core systems have a large number of design parameters, most of which are discrete-valued, and this number is likely to keep increasing as chip complexity rises. Further, the accurate evaluation of a potential design choice is…

分布式、并行与集群计算 · 计算机科学 2015-07-15 Neha V. Karanjkar , Madhav P. Desai

We present a nonlinear interpolation technique for parametric fields that exploits optimal transportation of coherent structures of the solution to achieve accurate performance. The approach generalizes the nonlinear interpolation procedure…

数值分析 · 数学 2023-10-09 Simona Cucchiara , Angelo Iollo , Tommaso Taddei , Haysam Telib

Multi-camera tracking plays a pivotal role in various real-world applications. While end-to-end methods have gained significant interest in single-camera tracking, multi-camera tracking remains predominantly reliant on heuristic techniques.…

计算机视觉与模式识别 · 计算机科学 2026-02-03 Alexandru Niculescu-Mizil , Deep Patel , Iain Melvin

Richardson extrapolation is applied to a simple first-order upwind difference scheme for the approximation of solutions of singularly perturbed convection-diffusion problems in one dimension. Robust a posteriori error bounds are derived for…

数值分析 · 数学 2023-08-07 Torsten Linß , Goran Radojev

Physical and budget constraints often result in irregular sampling, which complicates accurate subsurface imaging. Pre-processing approaches, such as missing trace or shot interpolation, are typically employed to enhance seismic data in…

图像与视频处理 · 电气工程与系统科学 2023-08-09 Paul Goyes , Edwin Vargas , Claudia Correa , Yu Sun , Ulugbek Kamilov , Brendt Wohlberg , Henry Arguello

In Multiple Object Tracking, objects often exhibit non-linear motion of acceleration and deceleration, with irregular direction changes. Tacking-by-detection (TBD) trackers with Kalman Filter motion prediction work well in…

计算机视觉与模式识别 · 计算机科学 2024-03-21 Weiyi Lv , Yuhang Huang , Ning Zhang , Ruei-Sung Lin , Mei Han , Dan Zeng

We present a new skeletal representation along with a matching framework to address the deformable shape recognition problem. The disconnectedness arises as a result of excessive regularization that we use to describe a shape at an…

计算机视觉与模式识别 · 计算机科学 2011-04-15 C. Aslan , A. Erdem , E. Erdem , S. Tari

For uncertainty propagation of highly complex and/or nonlinear problems, one must resort to sample-based non-intrusive approaches [1]. In such cases, minimizing the number of function evaluations required to evaluate the response surface is…

数值分析 · 数学 2017-12-04 Anindya Bhaduri , Lori Graham-Brady

Most modern multiple object tracking (MOT) systems follow the tracking-by-detection paradigm, consisting of a detector followed by a method for associating detections into tracks. There is a long history in tracking of combining motion and…

计算机视觉与模式识别 · 计算机科学 2021-06-08 Mohamed Chaabane , Peter Zhang , J. Ross Beveridge , Stephen O'Hara

In this paper, a new extrapolation economy cascadic multigrid method is proposed to solve the image restoration model. The new method combines the new extrapolation formula and quadratic interpolation to design a nonlinear prolongation…

数值分析 · 数学 2023-11-07 Zhaoteng Chu , Ziqi Yan , Chenliang Li

Disordered solids, straddling the solid-fluid boundary, lack a comprehensive continuum mechanical description. They exhibit a complex microstructure wherein multiple meta-stable states exist. Deforming disordered solids induces particles…

软凝聚态物质 · 物理学 2024-04-23 Yael Cohen , Amit Schiller , Dong Wang , Joshua Dijksman , Michael Moshe

Infinitesimal electric and magnetic dipoles are widely used as an equivalent radiating source model. In this paper, an improved method for dipole extraction from magnitude-only electromagnetic-field data based on genetic algorithm and…

信号处理 · 电气工程与系统科学 2019-01-23 Chunyu Wu , Ze Sun , Xu Wang , Yansheng Wang , Ben Kim , Jun Fan

We present a method to detect discontinuity curves, usually called faults, from a set of scattered data. The scheme first extracts from the data set a subset of points close to the faults. This selection is based on an indicator obtained by…

数值分析 · 数学 2019-05-16 Cesare Bracco , Oleg Davydov , Carlotta Giannelli , Alessandra Sestini

This paper considers a safe trajectory tracking of the Stefan problem with a second-order moving boundary dynamics. The model is given by a parabolic Partial Differential Equation (PDE) defined on a time-varying domain of moving boundary…

最优化与控制 · 数学 2026-05-26 Shumon Koga , Miroslav Krstic

We are concerned with the stability of multidimensional (M-D) transonic shocks in steady supersonic flow past multidimensional wedges. One of our motivations is that the global stability issue for the M-D case is much more sensitive than…

偏微分方程分析 · 数学 2017-05-23 Gui-Qiang Chen , Beixiang Fang

Event cameras provide microsecond latency, making them suitable for 6D object pose tracking in fast, dynamic scenes where conventional RGB and depth pipelines suffer from motion blur and large pixel displacements. We introduce EventTrack6D,…

计算机视觉与模式识别 · 计算机科学 2026-04-07 Jae-Young Kang , Hoonhee Cho , Taeyeop Lee , Minjun Kang , Bowen Wen , Youngho Kim , Kuk-Jin Yoon

High-Energy Physics experiments are rapidly escalating in generated data volume, a trend that will intensify with the upcoming High-Luminosity LHC upgrade. This surge in data necessitates critical revisions across the data processing…