Guoping Qiu
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View article: Integration of epidemiological surveys, network pharmacology, and molecular docking simulation to explore the potential key targets of propofol-induced euphoria
Integration of epidemiological surveys, network pharmacology, and molecular docking simulation to explore the potential key targets of propofol-induced euphoria Open
Propofol is a widely used anesthetic that has been associated with post-anesthetic euphoria, particularly among women. Since anhedonia is a core component of female sexual dysfunction (FSD), we aimed to evaluate the clinical incidence of p…
View article: Towards Smart Point-and-Shoot Photography
Towards Smart Point-and-Shoot Photography Open
Hundreds of millions of people routinely take photos using their smartphones as point and shoot (PAS) cameras, yet very few would have the photography skills to compose a good shot of a scene. While traditional PAS cameras have built-in fu…
View article: MO-CTranS: A unified multi-organ segmentation model learning from multiple heterogeneously labelled datasets
MO-CTranS: A unified multi-organ segmentation model learning from multiple heterogeneously labelled datasets Open
Multi-organ segmentation holds paramount significance in many clinical tasks. In practice, compared to large fully annotated datasets, multiple small datasets are often more accessible and organs are not labelled consistently. Normally, an…
View article: Failure Law of Sandstone and Identification of Premonitory Deterioration Information Based on Digital Image Correlation–Acoustic Emission Multi-Source Information Fusion
Failure Law of Sandstone and Identification of Premonitory Deterioration Information Based on Digital Image Correlation–Acoustic Emission Multi-Source Information Fusion Open
Efficiently extracting effective information from the massive experimental data from physical mechanics and accurately identifying the premonitory failure information from coal rock are key and difficult points of intelligent research on r…
View article: CFFormer: Cross CNN-Transformer Channel Attention and Spatial Feature Fusion for Improved Segmentation of Heterogeneous Medical Images
CFFormer: Cross CNN-Transformer Channel Attention and Spatial Feature Fusion for Improved Segmentation of Heterogeneous Medical Images Open
Medical image segmentation plays an important role in computer-aided diagnosis. Existing methods mainly utilize spatial attention to highlight the region of interest. However, due to limitations of medical imaging devices, medical images e…
View article: TAVP: Task-Adaptive Visual Prompt for Cross-domain Few-shot Segmentation
TAVP: Task-Adaptive Visual Prompt for Cross-domain Few-shot Segmentation Open
While large visual models (LVM) demonstrated significant potential in image understanding, due to the application of large-scale pre-training, the Segment Anything Model (SAM) has also achieved great success in the field of image segmentat…
View article: Ultrasonic guided Wave Signal Denoising Method Based on one-dimensional convolution and Full connection Model Fusion Denoising autoencoder
Ultrasonic guided Wave Signal Denoising Method Based on one-dimensional convolution and Full connection Model Fusion Denoising autoencoder Open
Ultrasonic guided wave (UGW) detection is widely used in pipeline monitoring but faces challenges from weak flaw echo signals within the detection data, making weak UGW signals difficult to recognize. It is essential to denoise the UGW det…
View article: LoopSparseGS: Loop Based Sparse-View Friendly Gaussian Splatting
LoopSparseGS: Loop Based Sparse-View Friendly Gaussian Splatting Open
Despite the photorealistic novel view synthesis (NVS) performance achieved by the original 3D Gaussian splatting (3DGS), its rendering quality significantly degrades with sparse input views. This performance drop is mainly caused by the li…
View article: Enhancing Edge Detection by Texture Handling Architecture and Noiseless Training Data
Enhancing Edge Detection by Texture Handling Architecture and Noiseless Training Data Open
Image edge detection (ED) is a fundamental task in computer vision. While convolution-based models have significantly advanced ED performance, achieving high precision under strict error tolerance constraints remains challenging. Furthermo…
View article: Geometric Distortion Guided Transformer for Omnidirectional Image Super-Resolution
Geometric Distortion Guided Transformer for Omnidirectional Image Super-Resolution Open
As virtual and augmented reality applications gain popularity, omnidirectional image (ODI) super-resolution has become increasingly important. Unlike 2D plain images that are formed on a plane, ODIs are projected onto spherical surfaces. A…
View article: Vision Language Modeling of Content, Distortion and Appearance for Image Quality Assessment
Vision Language Modeling of Content, Distortion and Appearance for Image Quality Assessment Open
The visual quality of an image is confounded by a number of intertwined factors including its semantic content, distortion characteristics and appearance properties such as brightness, contrast, sharpness, and colourfulness. Distilling hig…
View article: Finding Beautiful and Happy Images for Mental Health and Well-being Applications
Finding Beautiful and Happy Images for Mental Health and Well-being Applications Open
This paper explores how artificial intelligence (AI) technology can contribute to achieve progress on good health and well-being, one of the United Nations' 17 Sustainable Development Goals. It is estimated that one in ten of the global po…
View article: 3D Reconstruction and New View Synthesis of Indoor Environments based on a Dual Neural Radiance Field
3D Reconstruction and New View Synthesis of Indoor Environments based on a Dual Neural Radiance Field Open
Simultaneously achieving 3D reconstruction and new view synthesis for indoor environments has widespread applications but is technically very challenging. State-of-the-art methods based on implicit neural functions can achieve excellent 3D…
View article: PSAvatar: A Point-based Shape Model for Real-Time Head Avatar Animation with 3D Gaussian Splatting
PSAvatar: A Point-based Shape Model for Real-Time Head Avatar Animation with 3D Gaussian Splatting Open
Despite much progress, achieving real-time high-fidelity head avatar animation is still difficult and existing methods have to trade-off between speed and quality. 3DMM based methods often fail to model non-facial structures such as eyegla…
View article: P2I-NET: Mapping Camera Pose to Image via Adversarial Learning for New View Synthesis in Real Indoor Environments
P2I-NET: Mapping Camera Pose to Image via Adversarial Learning for New View Synthesis in Real Indoor Environments Open
Given a new $6DoF$ camera pose in an indoor environment, we study the\nchallenging problem of predicting the view from that pose based on a set of\nreference RGBD views. Existing explicit or implicit 3D geometry construction\nmethods are c…
View article: Perfusion preparation of the rat bladder decellularized scaffold
Perfusion preparation of the rat bladder decellularized scaffold Open
We successfully prepared the decellularized scaffold for the rat bladder by perfusion. Our results showed that the SDS-SDC scaffold had better decellularization efficiency and reconstruction ability than the SDS scaffold, which provides a …
View article: CCDC 2107416: Experimental Crystal Structure Determination
CCDC 2107416: Experimental Crystal Structure Determination Open
An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available …
View article: Aesthetically Relevant Image Captioning
Aesthetically Relevant Image Captioning Open
Image aesthetic quality assessment (AQA) aims to assign numerical aesthetic ratings to images whilst image aesthetic captioning (IAC) aims to generate textual descriptions of the aesthetic aspects of images. In this paper, we study image A…
View article: Assessing inequities in electrification via heat pumps across the U.S
Assessing inequities in electrification via heat pumps across the U.S Open
Heat pumps are an energy-efficient and increasingly cost-effective solution for reducing greenhouse gas emissions in the building sector. However, other clean energy technologies such as rooftop solar are less likely to be adopted in under…
View article: Collaborative Auto-encoding for Blind Image Quality Assessment
Collaborative Auto-encoding for Blind Image Quality Assessment Open
Blind image quality assessment (BIQA) is a challenging problem with important real-world applications. Recent efforts attempting to exploit powerful representations by deep neural networks (DNN) are hindered by the lack of subjectively ann…
View article: Integrating satellite and street-level images for local climate zone mapping
Integrating satellite and street-level images for local climate zone mapping Open
Timely and accurate local climate zone (LCZ) classification maps are valuable for urban climate studies. The integration of remote sensing and street-level images is promising to produce high-quality LCZ maps, since the former can efficien…
View article: Cross-modal Retrieval based on Shared Proxies
Cross-modal Retrieval based on Shared Proxies Open
Inconsistency of distribution and representation across different data modalities makes measuring cross-modal similarities a very difficult problem. Learning a common space that is semantically discriminative and modality invariant is the …
View article: Deep generative image priors for semantic face manipulation
Deep generative image priors for semantic face manipulation Open
Previous works on generative adversarial networks (GANs) mainly focus on how to synthesize high-fidelity images. In this paper, we present a framework to leverage the knowledge learned by GANs for semantic face manipulation. In particular,…
View article: Responsible Urban Intelligence: Towards a Research Agenda (Vision Paper)
Responsible Urban Intelligence: Towards a Research Agenda (Vision Paper) Open
Acceleration of urbanisation is posing great challenges to sustainable development. Growing accessibility to big data and artificial intelligence (AI) technologies have revolutionised many fields and offered great potential for addressing …
View article: Video logo detection by Deep-Transfer Active Learning
Video logo detection by Deep-Transfer Active Learning Open
Brand logo detection is a special aspect of machine vision. However, Video logo detection benchmarks are scarce in the public domain. We exploit the power of a deep convolutional neural network (DCNN) and leverage established datasets rela…
View article: Aesthetically Relevant Image Captioning
Aesthetically Relevant Image Captioning Open
Image aesthetic quality assessment (AQA) aims to assign numerical aesthetic ratings to images whilst image aesthetic captioning (IAC) aims to generate textual descriptions of the aesthetic aspects of images. In this paper, we study image A…
View article: ConvTransSeg: A Multi-resolution Convolution-Transformer Network for Medical Image Segmentation
ConvTransSeg: A Multi-resolution Convolution-Transformer Network for Medical Image Segmentation Open
Convolutional neural networks (CNNs) achieved the state-of-the-art performance in medical image segmentation due to their ability to extract highly complex feature representations. However, it is argued in recent studies that traditional C…
View article: Restoration of User Videos Shared on Social Media
Restoration of User Videos Shared on Social Media Open
User videos shared on social media platforms usually suffer from degradations caused by unknown proprietary processing procedures, which means that their visual quality is poorer than that of the originals. This paper presents a new genera…