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Flow visualization technologies such as particle tracking velocimetry (PTV) are broadly used in understanding the all-pervasiveness three-dimensional (3D) turbulent flow from nature and industrial processes. Despite the advances in 3D…

Fluid Dynamics · Physics 2022-11-01 Jiaming Liang , Chao Xu , Shengze Cai

3D Visual Grounding (3DVG) aims to localize objects in 3D scenes using natural language descriptions. Although supervised methods achieve higher accuracy in constrained settings, zero-shot 3DVG holds greater promise for real-world…

Computer Vision and Pattern Recognition · Computer Science 2025-08-29 Jiawen Lin , Shiran Bian , Yihang Zhu , Wenbin Tan , Yachao Zhang , Yuan Xie , Yanyun Qu

Tracking a desired Pointing Direction and simultaneously obtaining a reference Angular Velocity (PDAV) around the pointing direction constitutes a very involved and complicated motion encountered in a variaty of robotic, industrial and…

Optimization and Control · Mathematics 2017-11-09 Michalis Ramp , Evangelos Papadopoulos

The intuitive nature of drag-based interaction has led to its growing adoption for controlling object trajectories in image-to-video synthesis. Still, existing methods that perform dragging in the 2D space usually face ambiguity when…

Computer Vision and Pattern Recognition · Computer Science 2025-03-31 Hanlin Wang , Hao Ouyang , Qiuyu Wang , Wen Wang , Ka Leong Cheng , Qifeng Chen , Yujun Shen , Limin Wang

Visual perception tasks often require vast amounts of labelled data, including 3D poses and image space segmentation masks. The process of creating such training data sets can prove difficult or time-intensive to scale up to efficacy for…

Robotics · Computer Science 2022-08-03 Xiaotong Chen , Huijie Zhang , Zeren Yu , Stanley Lewis , Odest Chadwicke Jenkins

LiDAR has become one of the primary 3D object detection sensors in autonomous driving. However, LiDAR's diverging point pattern with increasing distance results in a non-uniform sampled point cloud ill-suited to discretized volumetric…

Computer Vision and Pattern Recognition · Computer Science 2022-03-23 Jordan S. K. Hu , Tianshu Kuai , Steven L. Waslander

To analyze the abundance of multidimensional data, tensor-based frameworks have been developed. Traditionally, the matrix singular value decomposition (SVD) is used to extract the most dominant features from a matrix containing the…

Machine Learning · Computer Science 2021-11-02 Katherine Keegan , Tanvi Vishwanath , Yihua Xu

We present Neural 3D Strokes, a novel technique to generate stylized images of a 3D scene at arbitrary novel views from multi-view 2D images. Different from existing methods which apply stylization to trained neural radiance fields at the…

Computer Vision and Pattern Recognition · Computer Science 2024-03-13 Hao-Bin Duan , Miao Wang , Yan-Xun Li , Yong-Liang Yang

Vector graphics are essential in design, providing artists with a versatile medium for creating resolution-independent and highly editable visual content. Recent advancements in vision-language and diffusion models have fueled interest in…

Computer Vision and Pattern Recognition · Computer Science 2025-01-08 Sagi Polaczek , Yuval Alaluf , Elad Richardson , Yael Vinker , Daniel Cohen-Or

In this paper, we present a first-order Stress-Hybrid Virtual Element Method (SH-VEM) on six-noded triangular meshes for linear plane elasticity. We adopt the Hellinger--Reissner variational principle to construct a weak equilibrium…

Numerical Analysis · Mathematics 2024-02-29 Alvin Chen , Joseph E. Bishop , N. Sukumar

Identifying, measuring and reporting lesions accurately and comprehensively from patient CT scans are important yet time-consuming procedures for physicians. Computer-aided lesion/significant-findings detection techniques are at the core of…

Computer Vision and Pattern Recognition · Computer Science 2020-09-01 Jinzheng Cai , Ke Yan , Chi-Tung Cheng , Jing Xiao , Chien-Hung Liao , Le Lu , Adam P. Harrison

There has recently been great interest in neural rendering methods. Some approaches use 3D geometry reconstructed with Multi-View Stereo (MVS) but cannot recover from the errors of this process, while others directly learn a volumetric…

Computer Vision and Pattern Recognition · Computer Science 2021-09-09 Georgios Kopanas , Julien Philip , Thomas Leimkühler , George Drettakis

This paper presents an initial exploration of stress-assisted diffusion problems in three dimensions within the framework of the virtual element method (VEM). Hilbert spaces enriched with parameter-weighted norms, the extended…

Numerical Analysis · Mathematics 2025-02-05 Andres E. Rubiano

In recent years, autonomous driving has garnered escalating attention for its potential to relieve drivers' burdens and improve driving safety. Vision-based 3D occupancy prediction, which predicts the spatial occupancy status and semantics…

Computer Vision and Pattern Recognition · Computer Science 2024-07-09 Yanan Zhang , Jinqing Zhang , Zengran Wang , Junhao Xu , Di Huang

Stochastic simulators are increasingly used to expand the frontier of scientific knowledge and inform decision-making across real-world contexts. Simulator calibration, a process by which internal model inputs are tuned to match some…

Computation · Statistics 2026-05-25 David O'Gara , Arindam Fadikar , Mickaël Binois , Nicholson Collier , Jonathan Ozik

Visual localization plays a critical role in the functionality of low-cost autonomous mobile robots. Current state-of-the-art approaches for achieving accurate visual localization are 3D scene-specific, requiring additional computational…

Robotics · Computer Science 2023-09-06 Yanmei Jiao , Binxin Zhang , Peng Jiang , Chaoqun Wang , Rong Xiong , Yue Wang

Recent advancements in high-fidelity dynamic scene reconstruction have leveraged dynamic 3D Gaussians and 4D Gaussian Splatting for realistic scene representation. However, to make these methods viable for real-time applications such as…

Computer Vision and Pattern Recognition · Computer Science 2025-11-26 Saqib Javed , Ahmad Jarrar Khan , Corentin Dumery , Chen Zhao , Mathieu Salzmann

3D visual tracking is significant to deep space exploration programs, which can guarantee spacecraft to flexibly approach the target. In this paper, we focus on the studied accurate and real-time method for 3D tracking. Considering the fact…

Computer Vision and Pattern Recognition · Computer Science 2021-11-23 Dong Zhou , Gunaghui Sun , Xiaopeng Hong

Photoelasticity enables full-field stress analysis in transparent objects through stress-induced birefringence. Existing techniques are limited to 2D slices and require destructively slicing the object. Recovering the internal 3D stress…

Computer Vision and Pattern Recognition · Computer Science 2024-06-25 Akshat Dave , Tianyi Zhang , Aaron Young , Ramesh Raskar , Wolfgang Heidrich , Ashok Veeraraghavan

We study the problem of visual surface inspection of infrastructure for defects using an Unmanned Aerial Vehicle (UAV). We do not assume that the geometric model of the infrastructure is known beforehand. Our planner, termed GATSBI, plans a…

Robotics · Computer Science 2024-06-25 Harnaik Dhami , Charith Reddy , Vishnu Dutt Sharma , Troi Williams , Pratap Tokekar