41 Result(s)
within
**nwei Zhu
Computer Science
English
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Article
Open AccessTemporally Consistent Enhancement of Low-Light Videos via Spatial-Temporal Compatible Learning
Temporal inconsistency is the annoying artifact that has been commonly introduced in low-light video enhancement, but current methods tend to overlook the significance of utilizing both data-centric clues and ...
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Article
Open AccessRed-billed blue magpie optimizer: a novel metaheuristic algorithm for 2D/3D UAV path planning and engineering design problems
Numerical optimization, Unmanned Aerial Vehicle (UAV) path planning, and engineering design problems are fundamental to the development of artificial intelligence. Traditional methods show limitations in deali...
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Article
Adaptive distractor-aware for siamese tracking via enhancement confidence evaluator
Siamese networks have recently attracted much attention due to balancing accuracy and speed in tracking. However, most Siamese trackers emphasize how to learn target features, ignoring background information. ...
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Article
Enhance understanding and reasoning ability for image captioning
Image captioning aims to generate a grammatically correct and semantically accurate natural language description of a given image. To better capture the complex information contained in an image and expand the...
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Chapter and Conference Paper
Language Guided Gras** of Unknown Concepts Based on Knowledge System
Language guided gras** in cultter environment has become a hot topic for robotic arms, where the robot is supposed to grasp a specific object according to the language instruction. However, existing studies ...
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Chapter and Conference Paper
Black-box Domain Adaptative Cell Segmentation via Multi-source Distillation
Cell segmentation plays a critical role in diagnosing various cancers. Although deep learning techniques have been widely investigated, the enormous types and diverse appearances of histopathological cells sti...
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Chapter and Conference Paper
Fine-Grained Bidirectional Attention-Based Generative Networks for Image-Text Matching
In this paper, we propose a method called BiKA (Bidirectional Knowledge-assisted embedding and Attention-based generation) for the task of image-text matching. It mainly improves the embedding ability of image...
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Chapter and Conference Paper
A Data-driven Intermediate Estimator-based Approach for Collaborative Fault-tolerant Tracking Control of Multi-agent Systems
This paper presents a data-driven distributed intermediate estimator-based cooperative tracking control method for multi-agent systems with actuator faults and unknown model parameters. A residual generator is...
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Article
PBGN: Phased Bidirectional Generation Network in Text-to-Image Synthesis
Text-to-image synthesis methods are mainly evaluated from two aspects: one is the quality and diversity of the generated images, and the other is the semantic consistency between the generated images and the i...
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Chapter and Conference Paper
Natural Gas Consumption Forecasting Based on KNN-REFCV-MA-DNN Model
Natural gas is an important energy source for urban development and residents’ lives. Excessive or insufficient natural gas will cause huge problems. Accurate prediction of natural gas consumption is an import...
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Chapter and Conference Paper
Design of Partial Discharge Detection System for High Voltage Electrical Equipment Based on Intelligent Video Detection Algorithm
Whether the high-voltage electrical equipment can operate smoothly has a direct impact on the power supply and power safety. However, in this kind of equipment itself, it is difficult to maintain a stable stat...
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Chapter and Conference Paper
Algorithm of Collaborative Filtering Recommendation and Its Application in Electronic Shop** Mall
According to the different objects concerned in collaborative filtering recommendation algorithm, it is divided into user-based and item-based collaborative filtering recommendation algorithm. This article ana...
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Chapter and Conference Paper
StyleFace: Towards Identity-Disentangled Face Generation on Megapixels
Identity swap** and de-identification are two essential applications of identity-disentangled face image generation. Although sharing a similar problem definition, the two tasks have been long studied separa...
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Chapter and Conference Paper
SeedFormer: Patch Seeds Based Point Cloud Completion with Upsample Transformer
Point cloud completion has become increasingly popular among generation tasks of 3D point clouds, as it is a challenging yet indispensable problem to recover the complete shape of a 3D object from its partial ...
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Article
Improve relation extraction with dual attention-guided graph convolutional networks
To better learn the dependency relationship between nodes, we address the relationship extraction task by capturing rich contextual dependencies based on the attention mechanism, and using distributional reinf...
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Chapter and Conference Paper
AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results
This paper reviews the video extreme super-resolution challenge associated with the AIM 2020 workshop at ECCV 2020. Common scaling factors for learned video super-resolution (VSR) do not go beyond factor 4. Mi...
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Article
Principal component analysis based on block-norm minimization
Principal Component Analysis (PCA) has attracted considerable interest for years in the studies of image recognition. So far, several state-of-the-art PCA-based robust feature extraction techniques have been p...
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Article
A blind watermarking algorithm based on adaptive quantization in Contourlet domain
Aiming at the copyright protection of digital works, a blind watermarking algorithm in Contourlet domain based on adaptive quantization is proposed. The algorithm adaptively regulates quantization step size in...
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Chapter and Conference Paper
Improved Particle Swarm Optimization Based Workflow Scheduling in Cloud-Fog Environment
Mobile edge devices with high requirements typically need to obtain faster response on local network services. Fog computing is an emerging computing paradigm motivated by this need, which currently is viewed ...
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Chapter and Conference Paper
Matrix Regression-Based Classification for Face Recognition
Partially occlusion is a common difficulty arisen in applications of face recognition, and many algorithms based on linear representation may pay attention to such cases. In this paper, we consider the partial...
