Y. Liu

A novel knowledge distillation framework to optimize DETR for sonar image object detection

Shixu Yang, Xiaoyu Zhang, Panlong Tan, Y. Liu

cn (code pays fourni par la source)

Accelerated Physics-Guided Diffusion Model for 3-D Limited-Angle Reconstruction of Cardiac Computed Tomography

Shuo Han, Bahareh Morovati, Y. Liu, Changsheng Fang et autres

Cardiovascular diseases (CVDs) remain the leading cause of morbidity and mortality worldwide. Computed tomography (CT) plays an important role in the diagnosis and management of CVDs. However, the temporal resolution of current cardiac CT imaging techniques is still insufficient to freeze the …

us (code pays fourni par la source)

Detecting underwater salient objects via self-supervised depth priors and task-driven optimization

Y. Liu, K.‐L. Zhang, Biting Ma, Rongji Yang et autres

Underwater salient object detection (USOD) is important for marine exploration, ecological monitoring, and autonomous underwater vehicle navigation. However, the performance of existing methods remains limited by underwater optical distortions, color casts, and the absence of reliable depth sensing. To address these challenges, …

An Enhanced DETR Network for Sonar Image Object Detection

Xiaoyu Zhang, Panlong Tan, Y. Liu, Xiangrun Du

This work proposes the more Precise and Faster Detection Transformer (PAF-DETR), a real-time and high-precision sonar image object detector based on the transformer architecture. The method fully considers the challenges posed by weak objects, blurred contours, and real-time requirements in practical underwater …

cn (code pays fourni par la source)

ResPF: Residual Poisson Flow Generative Model for Efficient and Physically Consistent Sparse-View CT Reconstruction

Changsheng Fang, Y. Liu, Bahareh Morovati, Han Shuo et autres

Sparse-view CT reduces radiation dose but leads to an ill-posed inverse problem that challenges accurate reconstruction. While deep learning and diffusion-based methods have shown promising results, they often lack physical consistency or suffer from high computational cost due to iterative sampling from …

us (code pays fourni par la source)

ρ-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3d Computed Tomography Reconstruction

L. P. Zhou, Changsheng Fang, Bahareh Morovati, Y. Liu et autres

This paper introduces ρ-NeRF, a novel approach that integrates attenuation priors into neural radiance fields, setting a new benchmark in novel view synthesis (NVS) and computed tomography (CT) reconstruction. ρ-NeRF models a continuous volumetric radiance field enriched with physics-based attenuation priors, representing …

us (code pays fourni par la source)

ResPF: Residual Poisson Flow for Efficient and Physically Consistent Sparse-View CT Reconstruction

Changsheng Fang, Y. Liu, Bahareh Morovati, Han Shuo et autres

Sparse-view computed tomography (CT) is a practical solution to reduce radiation dose, but the resulting ill-posed inverse problem poses significant challenges for accurate image reconstruction. Although deep learning and diffusion-based methods have shown promising results, they often lack physical interpretability or suffer …

HDANet: Enhancing Underwater Salient Object Detection With Physics-Inspired Multimodal Joint Learning

Y. Liu, Jinchao Zhu, Biting Ma, Yutai Duan et autres

Underwater salient object detection (USOD) poses a significantly greater challenge than traditional terrestrial scenes, due to both the complex image degradation and the absence of multimodal information in underwater environments. Existing image enhancement methods are not specifically optimized for USOD, while current …

cn (code pays fourni par la source)

$ρ$-NeRF: Leveraging Attenuation Priors in Neural Radiance Field for 3D Computed Tomography Reconstruction

L. P. Zhou, Changsheng Fang, Bahareh Morovati, Y. Liu et autres

This paper introduces $ρ$-NeRF, a self-supervised approach that sets a new standard in novel view synthesis (NVS) and computed tomography (CT) reconstruction by modeling a continuous volumetric radiance field enriched with physics-based attenuation priors. The $ρ$-NeRF represents a three-dimensional (3D) volume through …

PHP91 Is There an Overuse of Computed Tomography (CT) Scanning of Patients in United States Hospitals? A Review of the Evidence

Zhuhao Wang, Elizabeth Boswell, F.K. Kokkotos, Xin Dong et autres

us (code pays fourni par la source)

Jet production rates in association with W and Z bosons in pp collisions at $ \sqrt {s} = 7 {\text{TeV}} $

S. Chatrchyan, V. Khachatryan, A. M. Sirunyan, A. Tumasyan et autres

Measurements of jet production rates in association with W and Z bosons for jet transverse momenta above 30 GeV are reported, using a sample of proton-proton collision events recorded by CMS at s√=7TeV , corresponding to an integrated luminosity of 36 pb …

am, at, be (code pays fourni par la source)

Search for Bs0→μ+μ− and B0→μ+μ− Decays in pp Collisions at s=7 TeV

S. Chatrchyan, V. Khachatryan, A. M. Sirunyan, A. Tumasyan et autres

A search for the rare decays ${B}_{s}^{0}\ensuremath{\rightarrow}{\ensuremath{\mu}}^{+}{\ensuremath{\mu}}^{\ensuremath{-}}$ and ${B}^{0}\ensuremath{\rightarrow}{\ensuremath{\mu}}^{+}{\ensuremath{\mu}}^{\ensuremath{-}}$ is performed in $pp$ collisions at $\sqrt{s}=7\text{ }\text{ }\mathrm{TeV}$, with a data sample corresponding to an integrated luminosity of $1.14\text{ }\text{ }{\mathrm{fb}}^{\ensuremath{-}1}$, collected by the CMS experiment at the LHC. In both cases, …

am, at, be (code pays fourni par la source)