Xinrong Hu
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View article: SD-GASNet: Efficient Dual-Domain Multi-Scale Fusion Network with Self-Distillation for Surface Defect Detection
SD-GASNet: Efficient Dual-Domain Multi-Scale Fusion Network with Self-Distillation for Surface Defect Detection Open
Surface defect detection is vital in industrial quality control. While deep learning has largely automated inspection, accurately locating defects with large-scale variations or those difficult to distinguish from similar backgrounds remai…
View article: 3D reconstruction of concave specular objects via single-pixel imaging and implicit representations
3D reconstruction of concave specular objects via single-pixel imaging and implicit representations Open
3D reconstruction of concave specular objects poses significant challenges in computer vision, industrial inspection, optical calibration, and augmented reality. Their complex geometry, strong specular reflections, and multiple interreflec…
View article: Yarn Color Measurement Method Based on Digital Photography
Yarn Color Measurement Method Based on Digital Photography Open
To overcome the complexity of yarn color measurement using spectrophotometry with yarn winding techniques and to enhance consistency with human visual perception, a yarn color measurement method based on digital photography is proposed. Th…
View article: Analysis of the temporal and spatial evolution of China’s air passenger transportation and the impact of policies on passenger flows
Analysis of the temporal and spatial evolution of China’s air passenger transportation and the impact of policies on passenger flows Open
The spatial-temporal evolution of air passenger flows in China’s aviation sector is critical for optimizing route networks and capacity allocation, particularly in assessing the efficacy of policy interventions to inform future regulatory …
View article: Protein structure prediction via deep learning: an in-depth review
Protein structure prediction via deep learning: an in-depth review Open
The application of deep learning algorithms in protein structure prediction has greatly influenced drug discovery and development. Accurate protein structures are crucial for understanding biological processes and designing effective thera…
View article: Deconfounded fashion image captioning with transformer and multimodal retrieval
Deconfounded fashion image captioning with transformer and multimodal retrieval Open
Background: The annotation of fashion images is a significantly important task in the fashion industry as well as social media and e-commerce. However, owing to the complexity and diversity of fashion images, this task entails multiple cha…
View article: CDPMF-DDA: contrastive deep probabilistic matrix factorization for drug-disease association prediction
CDPMF-DDA: contrastive deep probabilistic matrix factorization for drug-disease association prediction Open
The process of new drug development is complex, whereas drug-disease association (DDA) prediction aims to identify new therapeutic uses for existing medications. However, existing graph contrastive learning approaches typically rely on sin…
View article: GarTemFormer: Temporal transformer-based for optimizing virtual garment animation
GarTemFormer: Temporal transformer-based for optimizing virtual garment animation Open
Virtual garment animation and deformation constitute a pivotal research direction in computer graphics, finding extensive applications in domains such as computer games, animation, and film. Traditional physics-based methods can simulate t…
View article: Contrastive Learning with Synthetic Positives
Contrastive Learning with Synthetic Positives Open
Contrastive learning with the nearest neighbor has proved to be one of the most efficient self-supervised learning (SSL) techniques by utilizing the similarity of multiple instances within the same class. However, its efficacy is constrain…
View article: Enhancing 3D Transformer Segmentation Model for Medical Image with Token-level Representation Learning
Enhancing 3D Transformer Segmentation Model for Medical Image with Token-level Representation Learning Open
In the field of medical images, although various works find Swin Transformer has promising effectiveness on pixelwise dense prediction, whether pre-training these models without using extra dataset can further boost the performance for the…
View article: A highly conserved amino acid mutation in TaCHLI-7D affects leaf color and yield-related traits in wheat
A highly conserved amino acid mutation in TaCHLI-7D affects leaf color and yield-related traits in wheat Open
Chlorophyll is essential for plant growth and productivity. The CHLI subunit of the magnesium chelatase protein plays a key role inserting magnesium into protoporphyrin IX during chlorophyll biosynthesis. Here, we identify a novel wheat mu…
View article: COTER: Conditional Optimal Transport meets Table Retrieval
COTER: Conditional Optimal Transport meets Table Retrieval Open
Ad hoc table retrieval refers to the task of performing semantic matching between given queries and candidate tables. In recent years, the approach to addressing this retrieval task has undergone significant shifts, transitioning from util…
View article: SCAD: Subspace Clustering based Adversarial Detector
SCAD: Subspace Clustering based Adversarial Detector Open
Adversarial examples pose significant challenges for Natural Language Processing (NLP) model robustness, often causing notable performance degradation. While various detection methods have been proposed with the aim of differentiating clea…
View article: Intelligent 3D garment system of the human body based on deep spiking neural network
Intelligent 3D garment system of the human body based on deep spiking neural network Open
Background: Intelligent garments, a burgeoning class of wearable devices, have extensive applications in domains such as sports training and medical rehabilitation. Nonetheless, existing research in the smart wearables domain predominantly…
View article: Digital Grading the Color Fastness to Rubbing of Fabrics Based on Spectral Reconstruction and BP Neural Network
Digital Grading the Color Fastness to Rubbing of Fabrics Based on Spectral Reconstruction and BP Neural Network Open
To digital grade the staining color fastness of fabrics after rubbing, an automatic grading method based on spectral reconstruction technology and BP neural network was proposed. Firstly, the modeling samples are prepared by rubbing the fa…
View article: GSNet: Generating 3D garment animation via graph skinning network
GSNet: Generating 3D garment animation via graph skinning network Open
The goal of digital dress body animation is to produce the most realistic dress body animation possible. Although a method based on the same topology as the body can produce realistic results, it can only be applied to garments with the sa…
View article: Construction of the Quality Evaluation System for Innovation and Entrepreneurship Teaching
Construction of the Quality Evaluation System for Innovation and Entrepreneurship Teaching Open
With the advancement of the wave of innovation and entrepreneurship education reform, how to establish a perfect and efficient innovation and entrepreneurship education quality evaluation system has also been widely concerned by educators.…
View article: Digital Grading the Color Fastness to Rubbing of Fabrics Based on Spectral Reconstruction and BP Neural Network
Digital Grading the Color Fastness to Rubbing of Fabrics Based on Spectral Reconstruction and BP Neural Network Open
To digital grade the color fastness of fabrics after rubbing, an automatic grading method based on spectral reconstruction technology and BP neural network was proposed. Firstly, the modeling samples are prepared by rubbing the fabrics acc…
View article: How to Efficiently Adapt Large Segmentation Model(SAM) to Medical Images
How to Efficiently Adapt Large Segmentation Model(SAM) to Medical Images Open
The emerging scale segmentation model, Segment Anything (SAM), exhibits impressive capabilities in zero-shot segmentation for natural images. However, when applied to medical images, SAM suffers from noticeable performance drop. To make SA…
View article: Conditional Diffusion Models for Weakly Supervised Medical Image Segmentation
Conditional Diffusion Models for Weakly Supervised Medical Image Segmentation Open
Recent advances in denoising diffusion probabilistic models have shown great success in image synthesis tasks. While there are already works exploring the potential of this powerful tool in image semantic segmentation, its application in w…
View article: Additional Positive Enables Better Representation Learning for Medical Images
Additional Positive Enables Better Representation Learning for Medical Images Open
This paper presents a new way to identify additional positive pairs for BYOL, a state-of-the-art (SOTA) self-supervised learning framework, to improve its representation learning ability. Unlike conventional BYOL which relies on only one p…
View article: CFD Simulation and Optimization of the Leaf Collecting Mechanism for the Riding-Type Tea Plucking Machine
CFD Simulation and Optimization of the Leaf Collecting Mechanism for the Riding-Type Tea Plucking Machine Open
In the process of tea plucking and leaf gathering, the structure optimization design of the leaf collecting mechanism is the key element responsible for collecting fresh leaves. The unreasonable design and manufacture of leaf collecting me…
View article: Pedestrian trajectory prediction based on improved avoidance force algorithm
Pedestrian trajectory prediction based on improved avoidance force algorithm Open
The complexity of interactions between pedestrians poses a challenge to pedestrian trajectory prediction, and existing trajectory prediction methods based on data-driven models lack interpretation for modeling interactions between pedestri…