382 Result(s)
within
Zhen**g Yang
Computer Science
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Article
Open Set Recognition in Real World
Open set recognition (OSR) constitutes a critical endeavor within the domain of computer vision, frequently deployed in applications, such as autonomous driving and medical imaging recognition. Existing OSR me...
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Article
STransLOT: splitting-refusion transformer for low-light object tracking
In the field of tracking, more and more trackers are using the great potential of the transformer to form the framework. Most of them use the Siamese-based backbone and employ the attention mechanism to captur...
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Article
JoCaD: a joint training method by combining consistency and diversity
Noisy labels due to mistakes in manual labeling or data collecting are challenging for the expansion of deep neural network applications. Current robust network learning methods such as Decoupling, Co-teaching...
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ControlService: a containerized solution for control-algorithm-as-a-service in cloud control systems
As an extension of networked control systems, cloud control systems (CCSs) have emerged as a new control paradigm to improve the service quality of emerging control missions, such as data-driven modeling and a...
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Article
SimAC: simulating agile collaboration to generate acceptance criteria in user story elaboration
In agile requirements engineering, Generating Acceptance Criteria (GAC) to elaborate user stories plays a pivotal role in the sprint planning phase, which provides a reference for delivering functional solutio...
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A deep learning-based method for predicting the emerging degree of research topics using emerging index
With the exponential growth of the volume of scientific literature, it is particularly important to grasp the research frontier. Predicting emerging research topics will help research institutions and scholars...
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BGFNet: boundary information-aided graph structure fusion network for semantic segmentation of remote sensing images
Semantic segmentation of high-resolution remote sensing (RS) images faces challenges in multi-scale transformation. Although feature fusion is widely used in this task, the existing methods do not fully consid...
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Improved YOLOv4 based on dilated coordinate attention for object detection
Classical YOLOv4 object detector transcends some famous object detectors in speed and accuracy. However, despite its superior performance, it still has some limitations such as the insufficient for extracting ...
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Weighted coupled neural P systems with inhibitory rules and multiple channels
Coupled neural P systems (CNP systems) a model for computing, which is abstracted by the neuronal model of the mammalian visual cortex developed by Eckhorn. To improve the model’s controllability and consisten...
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Article
Residual aggregation U-shaped network for image super-resolution
Recent research on image super-resolution (SR) task has greatly progressed with the development of convolutional neural networks (CNNs). Most previous studies with single-scale feature enhance expressiveness b...
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Article
Weighted target indications spiking neural P systems with inhibitory rules and time schedule
Spiking neural P systems with target indications are a branch of parallel distributed computing models in which neurons communicate information through spikes. Target indications guide the transmission directi...
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Article
Batch data recovery from gradients based on generative adversarial networks
In the federated learning scenario, the private data are kept local, and gradients are shared to train the global model. Because gradients are updated according to the private training data, the features of th...
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Article
Quasi-projective synchronization of discrete-time BAM neural networks by discrete inequality techniques
In this paper, we primarily concentrate on the quasi-projective synchronization of master–slave discrete-time BAM neural networks. Without using the LMI and matrix measure methods, by applying discrete inequal...
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Article
ET-PointPillars: improved PointPillars for 3D object detection based on optimized voxel downsampling
The preprocessing of point cloud data has always been an important problem in 3D object detection. Due to the large volume of point cloud data, voxelization methods are often used to represent the point cloud ...
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Article
Towards efficient simulation-based constrained temporal graph pattern matching
In the context of searching a single data graph G, graph pattern matching is to find all the occurrences of a pattern graph Q in G, specified by a matching rule. It is of paramount importance in many real applica...
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Article
Open AccessSkeleton Ground Truth Extraction: Methodology, Annotation Tool and Benchmarks
Skeleton Ground Truth (GT) is critical to the success of supervised skeleton extraction methods, especially with the popularity of deep learning techniques. Furthermore, we see skeleton GTs used not only for t...
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Open Access3D point cloud-based place recognition: a survey
Place recognition is a fundamental topic in computer vision and robotics. It plays a crucial role in simultaneous localization and map** (SLAM) systems to retrieve scenes from maps and identify previously vi...
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Research and implementation of adaptive stereo matching algorithm based on ZYNQ
Stereo matching is an important method in computer vision for simulating human binocular vision to acquire spatial distance information. Implementing high-precision and real-time stereo-matching algorithms on ...
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Article
Nonconvex \(\gamma \) -norm and Laplacian scale mixture with salient map for moving object detection
Moving object detection which has attracted wide attention is the critical issue of computer vision. Consequently, the low-rank and sparse decomposition (LRSD) has been a powerful technology for extracting the...
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Neighbor enhanced contextual graph neural network for session-based recommendation
Session-based recommender system (SBRS) has received increasingly extensive attention in many fields, predicting whether a user will click on the next item according to the session sequence. Nevertheless, most...
