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This study explores a two-component dark matter model in which one component, heavier dark matter, annihilates into a lighter dark matter. The lighter dark matter is expected to generate detectable signals in detectors due to its enhanced…

High Energy Physics - Phenomenology · Physics 2025-04-18 Keiko I. Nagao , Tatsuhiro Naka , Takaaki Nomura

Circulatory system abnormalities might be an indicator of diseases or tissue damage. Early detection of vascular abnormalities might have an important role during treatment and also raise the patient's awarenes. Current detection methods…

Computer Vision and Pattern Recognition · Computer Science 2023-09-07 Ayse Altay , Abdurrahman Gumus

Finding an initial noise vector that produces an input image when fed into the diffusion process (known as inversion) is an important problem in denoising diffusion models (DDMs), with applications for real image editing. The…

Computer Vision and Pattern Recognition · Computer Science 2022-12-23 Bram Wallace , Akash Gokul , Nikhil Naik

Through capturing spectral data from a wide frequency range along with the spatial information, hyperspectral imaging (HSI) can detect minor differences in terms of temperature, moisture and chemical composition. Therefore, HSI has been…

Computer Vision and Pattern Recognition · Computer Science 2022-07-08 Yijun Yan , Jinchang Ren , Huan Zhao , James F. C. Windmill , Winifred Ijomah , Jesper de Wit , Justus von Freeden

Research interest in rapid structured-light imaging has grown increasingly for the modeling of moving objects, and a number of methods have been suggested for the range capture in a single video frame. The imaging area of a 3D object using…

Computer Vision and Pattern Recognition · Computer Science 2015-09-01 Changsoo Je , Kwang Hee Lee , Sang Wook Lee

This report covers an intelligent decision support system (IDSS), which handles an efficient and effective way to rapidly inspect containerized cargos for defection. Defection is either cargo exposure to radiation, physical damages such as…

Artificial Intelligence · Computer Science 2015-06-16 Philip B. Alipour , Matteus Magnusson , Martin W. Olsson , Nooshin H. Ghasemi , Lawrence Henesey

The traditional wisdom for achieving transparency is to minimize disordered scattering within and on the surface of materials, so as to avoid translucency. However, the lack of disordered scattering also deprives the possibility of…

LiDAR-based 3D object detection models have traditionally struggled under rainy conditions due to the degraded and noisy scanning signals. Previous research has attempted to address this by simulating the noise from rain to improve the…

Computer Vision and Pattern Recognition · Computer Science 2024-02-29 Xun Huang , Hai Wu , Xin Li , Xiaoliang Fan , Chenglu Wen , Cheng Wang

Food x-ray inspection systems are designed to detect unwanted physical contaminants in packaged food to maintain a high level of food safety for consumers. Modern day x-ray inspection systems often utilize line scan sensors to detect these…

Applied Physics · Physics 2022-05-18 Joanna Nguyen , Devon Richtsmeier , Kris Iniewski , Magdalena Bazalova-Carter

We present SSD-GS, a physically-based relighting framework built upon 3D Gaussian Splatting (3DGS) that achieves high-quality reconstruction and photorealistic relighting under novel lighting conditions. In physically-based relighting,…

Computer Vision and Pattern Recognition · Computer Science 2026-04-16 Iris Zheng , Guojun Tang , Alexander Doronin , Paul Teal , Fang-Lue Zhang

Structured light (SL) systems acquire high-fidelity 3D geometry with active illumination projection. Conventional systems exhibit challenges when working in environments with strong ambient illumination, global illumination and cross-device…

Computer Vision and Pattern Recognition · Computer Science 2022-06-22 Zhanghao Sun , Yu Zhang , Yicheng Wu , Dong Huo , Yiming Qian , Jian Wang

Ensuring the safety of surgical instruments requires reliable detection of visual defects. However, manual inspection is prone to error, and existing automated defect detection methods, typically trained on natural/industrial images, fail…

Computer Vision and Pattern Recognition · Computer Science 2025-09-29 Joseph Huang , Yichi Zhang , Jingxi Yu , Wei Chen , Seunghyun Hwang , Qiang Qiu , Amy R. Reibman , Edward J. Delp , Fengqing Zhu

Structured Illumination Microscopy is a widespread methodology to image live and fixed biological structures smaller than the diffraction limits of conventional optical microscopy. Using recent advances in image up-scaling through deep…

Image and Video Processing · Electrical Eng. & Systems 2021-02-19 Miguel Boland , Edward A. K. Cohen , Seth Flaxman , Mark A. A. Neil

The potential huge advantage of spectral computed tomography (CT) is its capability to provide accuracy material identification and quantitative tissue information. This can benefit clinical applications, such as brain angiography, early…

Image and Video Processing · Electrical Eng. & Systems 2020-08-18 Weiwen Wu , Haijun Yu , Peijun Chen , Fulin Luo , Fenglin Liu , Qian Wang , Yining Zhu , Yanbo Zhang , Jian Feng , Hengyong Yu

Diffusion-based models have shown great promise in real-world image super-resolution (Real-ISR), but often generate content with structural errors and spurious texture details due to the empirical priors and illusions of these models. To…

Computer Vision and Pattern Recognition · Computer Science 2025-01-17 Yachao Li , Dong Liang , Tianyu Ding , Sheng-Jun Huang

Deep packet inspection is widely recognized as a powerful way which is used for intrusion detection systems for inspecting, deterring and deflecting malicious attacks over the network. Fundamentally, almost intrusion detection systems have…

Cryptography and Security · Computer Science 2008-03-04 Tamer AbuHmed , Abedelaziz Mohaisen , DaeHun Nyang

We present Bidirectional Gaussian Primitives, an image-based novel view synthesis technique designed to represent and render 3D objects with surface and volumetric materials under dynamic illumination. Our approach integrates light…

Computer Vision and Pattern Recognition · Computer Science 2024-08-27 Zhenyuan Liu , Yu Guo , Xinyuan Li , Bernd Bickel , Ran Zhang

Reflective appearance, especially strong and typically near-field specular reflections, poses a fundamental challenge for accurate surface reconstruction and novel view synthesis. Existing Gaussian splatting methods either fail to model…

Computer Vision and Pattern Recognition · Computer Science 2026-03-16 Ningjing Fan , Yiqun Wang , Dongming Yan , Peter Wonka

In this paper, we study the problem of reproducing the world lighting from a single image of an object covered with random specular microfacets on the surface. We show that such reflectors can be interpreted as a randomized mapping from the…

Computer Vision and Pattern Recognition · Computer Science 2014-12-30 Zhengdong Zhang , Phillip Isola , Edward H. Adelson

A new and simple method of blood bilirubin detection through light reflection from skin is developed. The basic improvement over the existing methods is in the design of the light emitter and detector geometry which facilitates a two-stream…

Optics · Physics 2007-05-23 Bedrettin Subasilar