355 Result(s)
within
English
Computer Science
Artificial Intelligence
Zhigang **
-
Article
Agent-based crowd simulation: an in-depth survey of determining factors for heterogeneous behavior
In recent years, the field of crowd simulation has experienced significant advancements, attributed in part to the improvement of hardware performance, coupled with a notable emphasis on agent-based characteri...
-
Article
Open AccessNoise4Denoise: Leveraging noise for unsupervised point cloud denoising
Existing deep learning-based point cloud denoising methods are generally trained in a supervised manner that requires clean data as ground-truth labels. However, in practice, it is not always feasible to obtai...
-
Article
Dual-stage temporal perception network for continuous sign language recognition
Continuous sign language recognition (CSLR) aims to identify a sequence of glosses from a sign language video with only a sentence-level label provided in a weakly supervised way. In sign language videos, the ...
-
Article
Masked self-supervised ECG representation learning via multiview information bottleneck
In recent years, self-supervised learning-based models have been widely used for electrocardiogram (ECG) representation learning. However, most of the models utilize contrastive learning that strongly depend o...
-
Article
Multi-level relation learning for cross-domain few-shot hyperspectral image classification
Cross-domain few-shot hyperspectral image classification focuses on learning prior knowledge from a large number of labeled samples from source domains and then transferring the knowledge to the tasks which co...
-
Article
Image-only place recognition based on regional aggregating ConvNet features for underground parking lots
Place recognition searches the closest map node to the query node, which is an important task for vehicle localization. Traditional visual place recognition methods for underground parking lots require the dep...
-
Chapter and Conference Paper
DiffMoCa: Diffusion Model Based Multi-modality Cut and Paste
The Multi-mOdality Cut and pAste (MoCa) method cuts data from other frames and pastes it onto the current training data frame to increase the number of training object samples. However, the samples used by MoC...
-
Chapter and Conference Paper
FlashViT: A Flash Vision Transformer with Large-Scale Token Merging for Congenital Heart Disease Detection
Congenital heart disease (CHD) is the most common congenital malformation and imaging examination is an important means to diagnose it. Currently, deep learning-based methods have achieved remarkable results i...
-
Chapter and Conference Paper
Industrial Noisy Speech Enhancement Using Joint Time-Frequency Loss Function Based on U-Net
Single-channel speech enhancement research in complex industrial production environments is limited. Current methods, whether based on attention mechanisms or generative adversarial networks, primarily focus o...
-
Chapter and Conference Paper
RTMDet-R2: An Improved Real-Time Rotated Object Detector
Object detection in remote sensing images is challenging due to the absence of visible features and variations in object orientation. Efficient detection of objects in such images can be achieved using rotated...
-
Chapter and Conference Paper
CSFuser: A Cascade Siamese Fusion Architecture for RGB-Infrared Object Detection
RGB-Infrared multi-modal object detection harnesses diverse and complementary information from RGB and infrared images, offering significant advantages in intelligent transportation. The primary challenge lies...
-
Article
Learning facial expression-aware global-to-local representation for robust action unit detection
The task of detecting facial action units (AU) often utilizes discrete expression categories, such as Angry, Disgust, and Happy, as auxiliary information to enhance performance. However, these categories are u...
-
Chapter and Conference Paper
False Negative Sample Aware Negative Sampling for Recommendation
Negative sampling plays a key role in implicit feedback collaborative filtering. It draws high-quality negative samples from a large number of uninteracted samples. Existing methods primarily focus on hard neg...
-
Chapter and Conference Paper
Parking Space Matching and Path Planning Based on Wolf Feeding Decision Algorithm in Large Underground Garage
As cities grow, the number of complex underground parking garages with multiple entrances and exits is increasing. Randomly assigning parking spaces can lead to longer wait times for car owners during the park...
-
Chapter and Conference Paper
Improved Sparrow Search Algorithm Optimized Neural Network Analysis of Traffic Congestion
Accurate traffic congestion prediction is of great significance for applications such as traffic control and route optimization. However, the traffic situation is affected by many complex factors, and the trad...
-
Article
Open AccessFuzzy-based indoor scene modeling with differentiated examples
Well-designed indoor scenes incorporate interior design knowledge, which has been an essential prior for most indoor scene modeling methods. However, the layout qualities of indoor scene datasets are often une...
-
Article
AMGAN: An Attribute-Matched Generative Adversarial Network for UAV Virtual Sample Generation
The recognition and detection of unmanned aerial vehicles (UAV) usually face the difficulty of insufficient samples. Given a limited number of real UAV images, it is a challenging task to generate virtual UAV ...
-
Article
Data representation learning via dictionary learning and self-representation
Dictionary learning is an effective feature learning method, leading to many remarkable results in data representation and classification tasks. However, dictionary learning is performed on the original data r...
-
Article
Graph-aware transformer for skeleton-based action recognition
Recently, graph convolutional networks (GCNs) play a critical role in skeleton-based human action recognition. However, most GCN-based methods still have two main limitations: (1) The semantic-level adjacency ...
-
Article
Novel fixed-time stability criteria of nonlinear systems and applications in fuzzy competitive neural network and Chua’s oscillator
Since the fixed-time stability forms of nonlinear systems satisfy strict conditions, there are few general forms for nonlinear systems to achieve fixed-time stability. This work proposes a new class of more ge...
