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Multi-modal fusion has emerged as a promising paradigm for accurate 3D object detection. However, performance degrades substantially when deployed in target domains different from training. In this work, focusing on dual-branch…

Computer Vision and Pattern Recognition · Computer Science 2026-03-25 Yuchen Wu , Kun Wang , Yining Pan , Na Zhao

The growing diversity of digital face manipulation techniques has led to an urgent need for a universal and robust detection technology to mitigate the risks posed by malicious forgeries. We present a blended-based detection approach that…

Computer Vision and Pattern Recognition · Computer Science 2023-12-14 Yuyang Sun , Huy H. Nguyen , Chun-Shien Lu , ZhiYong Zhang , Lu Sun , Isao Echizen

We introduce fusion-based quantum computing (FBQC) - a model of universal quantum computation in which entangling measurements, called fusions, are performed on the qubits of small constant-sized entangled resource states. We introduce a…

Change Detection (CD) enables the identification of alterations between images of the same area captured at different times. However, existing CD methods still struggle to address pseudo changes resulting from domain information differences…

Computer Vision and Pattern Recognition · Computer Science 2024-10-15 Yi Xiao , Bin Luo , Jun Liu , Xin Su , Wei Wang

The complexity of binary droplet collisions increases for the collision of immiscible liquids with the occurrence of triple lines and thin encapsulating films. The Volume of Fluid (VOF) method is extended with an efficient interface…

Fluid Dynamics · Physics 2023-06-22 Johanna Potyka , Kathrin Schulte

Multi-frame depth estimation generally achieves high accuracy relying on the multi-view geometric consistency. When applied in dynamic scenes, e.g., autonomous driving, this consistency is usually violated in the dynamic areas, leading to…

Computer Vision and Pattern Recognition · Computer Science 2023-04-19 Rui Li , Dong Gong , Wei Yin , Hao Chen , Yu Zhu , Kaixuan Wang , Xiaozhi Chen , Jinqiu Sun , Yanning Zhang

Robots operating at night using conventional vision cameras face significant challenges in reconstruction due to noise-limited images. Previous work has demonstrated that burst-imaging techniques can be used to partially overcome this…

Robotics · Computer Science 2022-09-21 Ahalya Ravendran , Mitch Bryson , Donald G. Dansereau

Cross-modality fusing complementary information of multispectral remote sensing image pairs can improve the perception ability of detection algorithms, making them more robust and reliable for a wider range of applications, such as…

Computer Vision and Pattern Recognition · Computer Science 2021-12-07 Qingyun Fang , Zhaokui Wang

Accurate representation of interfaces and flux exchange is vital for coupled multiphysics simulations across a broad range of applications. Currently, coupling approaches are limited by the underlying discretization or to specific physical…

Fluid Dynamics · Physics 2026-03-10 Ethan Huff , Savio J. Poovathingal

2D-based Industrial Anomaly Detection has been widely discussed, however, multimodal industrial anomaly detection based on 3D point clouds and RGB images still has many untouched fields. Existing multimodal industrial anomaly detection…

Computer Vision and Pattern Recognition · Computer Science 2023-09-08 Yue Wang , Jinlong Peng , Jiangning Zhang , Ran Yi , Yabiao Wang , Chengjie Wang

The variational quantum Monte Carlo (VQMC) method received significant attention in the recent past because of its ability to overcome the curse of dimensionality inherent in many-body quantum systems. Close parallels exist between VQMC and…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-07-01 Tianchen Zhao , Saibal De , Brian Chen , James Stokes , Shravan Veerapaneni

Force-based multiphysics coupling methods have become popular since they provide a simple and efficient coupling mechanism, avoiding the difficulties in formulating and implementing a consistent coupling energy. They are also the only known…

Numerical Analysis · Mathematics 2011-04-12 Mitchell Luskin , Christoph Ortner

We present a three-dimensional (3D) common-refinement method for non-matching meshes between discrete non-overlapping subdomains of incompressible fluid and nonlinear hyperelastic structure. To begin, we first investigate the accuracy of…

Computational Physics · Physics 2018-08-15 Yulong Li , Yun Zhi Law , Vaibhav Joshi , Rajeev Kumar Jaiman

The photonic crystal fibers (PCF) or air-silica microstructured fibers consist of a periodic array of dielectric transverse. By introducing a defect in this structure, it is possible to guide the light by a photonic bandgap effect, whose…

Optics · Physics 2015-04-13 Mohammed Debbal , Mohammed Chikh-Bled

Phase shifting profilometry (PSP) is favored in high-precision 3D scanning due to its high accuracy, robustness, and pixel-wise property. However, a fundamental assumption of PSP that the object should remain static is violated in dynamic…

Computer Vision and Pattern Recognition · Computer Science 2024-10-29 Geyou Zhang , Ce Zhu , Kai Liu

We propose a novel fast and robust 3D point clouds segmentation framework via coupled feature selection, named 3DCFS, that jointly performs semantic and instance segmentation. Inspired by the human scene perception process, we design a…

Robotics · Computer Science 2020-03-03 Liang Du , Jingang Tan , Xiangyang Xue , Lili Chen , Hongkai Wen , Jianfeng Feng , Jiamao Li , Xiaolin Zhang

The potential of mean force (PMF) between two nano crystals (NCs) represents an effective interaction potential that can be used to study the assembly of NCs to various superstructures. For a given temperature, the effective interaction is…

Mesoscale and Nanoscale Physics · Physics 2015-12-31 Alexander Lange , Fabian Danecker , Gernot Bauer , Nadezda Gribova , Joachim Gross

We derive an analytical expression for the solution of a two-dimensional quasicontinuum method with a planar interface. The expression is used to prove that the ghost force may lead to a finite size error for the gradient of the solution.…

Numerical Analysis · Mathematics 2012-05-29 Jingrun Chen , Pingbing Ming

Brute force cross-validation (CV) is a method for predictive assessment and model selection that is general and applicable to a wide range of Bayesian models. Naive or `brute force' CV approaches are often too computationally costly for…

Methodology · Statistics 2024-01-17 Alex Cooper , Aki Vehtari , Catherine Forbes , Lauren Kennedy , Dan Simpson

Quantum correlations become formidable tools for beating classical capacities of measurement. Preserving these advantages in practical systems, where experimental imperfections are unavoidable, is a challenge of the utmost importance. Here…

Quantum Physics · Physics 2019-12-18 Elena Losero , Ivano Ruo Berchera , Alice Meda , Alessio Avella , Olga Sambataro , Marco Genovese