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IET Computer Vision
Scopus
ISSN 1751-9640 · Wiley · 974 articles in the index
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Journal Article
Social‐ATPGNN: Prediction of multi‐modal pedestrian trajectory of non‐homogeneous social interaction
Abstract With the development of automatic driving and path planning technology, predicting the moving trajectory of pedestrians in dynamic scenes has become one of key and urgent technical problems. However, most of the existing techniques regard all pedestrians in the scene as equally important…
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Journal Article
GR‐Former: Graph‐reinforcement transformer for skeleton‐based driver action recognition
Abstract In in‐vehicle driving scenarios, composite action recognition is crucial for improving safety and understanding the driver's intention. Due to spatial constraints and occlusion factors, the driver's range of motion is limited, thus resulting in similar action patterns that are difficult to…
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Journal Article
Federated finger vein presentation attack detection for various clients
Abstract Recently, the application of finger vein recognition has become popular. Studies have shown finger vein presentation attacks increasingly threaten these recognition devices. As a result, research on finger vein presentation attack detection (fvPAD) methods has received much attention…
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Journal Article
Centre‐loss—A preferred class verification approach over sample‐to‐sample in self‐checkout products datasets
Abstract Siamese networks excel at comparing two images, serving as an effective class verification technique for a single‐per‐class reference image. However, when multiple reference images are present, Siamese verification necessitates multiple comparisons and aggregation, often unpractical at…
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Journal Article
Multi‐modal video search by examples—A video quality impact analysis
Abstract As the proliferation of video content continues, and many video archives lack suitable metadata, therefore, video retrieval, particularly through example‐based search, has become increasingly crucial. Existing metadata often fails to meet the needs of specific types of searches, especially…
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Journal Article
CR‐Net: Robot grasping detection method integrating convolutional block attention module and residual module
Abstract Grasping detection, which involves identifying and assessing the grasp ability of objects by robotic systems, has garnered significant attention in recent years due to its pivotal role in the development of robotic systems and automated assembly processes. Despite notable advancements in…
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Journal Article
IDBNet: Improved differentiable binarisation network for natural scene text detection
Abstract The text in the natural scene can express rich semantic information, which helps people understand and analyse daily things. This paper focuses on the problems of discrete text spatial distribution and variable text geometric size in natural scenes with complex backgrounds and proposes an…
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Journal Article
Representation constraint‐based dual‐channel network for face antispoofing
Abstract Although multimodal face data have obvious advantages in describing live and spoofed features, single‐modality face antispoofing technologies are still widely used when it is difficult to obtain multimodal face images or inconvenient to integrate and deploy multimodal sensors. Since the…
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Journal Article
Scene flow estimation from 3D point clouds based on dual‐branch implicit neural representations
Abstract Recently, online optimisation‐based scene flow estimation has attracted significant attention due to its strong domain adaptivity. Although online optimisation‐based methods have made significant advances, the performance is far from satisfactory as only flow priors are considered…
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Journal Article
MBMF: Constructing memory banks of multi‐scale features for anomaly detection
Abstract In industrial manufacturing, how to accurately classify defective products and locate the location of defects has always been a concern. Previous studies mainly measured similarity based on extracting single‐scale features of samples. However, only using the features of a single scale is…
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Journal Article
A Spatio‐Temporal Enhanced Graph‐Transformer AutoEncoder embedded pose for anomaly detection
Abstract Due to the robustness of skeleton data to human scale, illumination changes, dynamic camera views, and complex backgrounds, great progress has been made in skeleton‐based video anomaly detection in recent years. The spatio‐temporal graph convolutional network has been proven to be…
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Journal Article
Point cloud semantic segmentation based on local feature fusion and multilayer attention network
Abstract Semantic segmentation from a three‐dimensional point cloud is vital in autonomous driving, computer vision, and augmented reality. However, current semantic segmentation does not effectively use the point cloud's local geometric features and contextual information, essential for improving…
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Journal Article
A survey on weakly supervised 3D point cloud semantic segmentation
Abstract With the popularity and advancement of 3D point cloud data acquisition technologies and sensors, research into 3D point clouds has made considerable strides based on deep learning. The semantic segmentation of point clouds, a crucial step in comprehending 3D scenes, has drawn much…
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Journal Article
A temporal shift reconstruction network for compressive video sensing
Abstract Compressive sensing provides a promising sampling paradigm for video acquisition for resource‐limited sensor applications. However, the reconstruction of original video signals from sub‐sampled measurements is still a great challenge. To exploit the temporal redundancies within videos…
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Journal Article
Spatial feature embedding for robust visual object tracking
Abstract Recently, the offline‐trained Siamese pipeline has drawn wide attention due to its outstanding tracking performance. However, the existing Siamese trackers utilise offline training to extract ‘universal’ features, which is insufficient to effectively distinguish between the target and…
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Journal Article
Video frame interpolation via spatial multi‐scale modelling
Abstract Video frame interpolation (VFI) is a technique that synthesises intermediate frames between adjacent original video frames to enhance the temporal super‐resolution of the video. However, existing methods usually rely on heavy model architectures with a large number of parameters. The…
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Journal Article
Feature fusion over hyperbolic graph convolution networks for video summarisation
Abstract A novel video summarisation method called the Hyperbolic Graph Convolutional Network (HVSN) is proposed, which addresses the challenges of summarising edited videos and capturing the semantic consistency of video shots at different time points. Unlike existing methods that use linear video…
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Journal Article
Mirror complementary transformer network for RGB‐thermal salient object detection
Abstract Conventional RGB‐T salient object detection treats RGB and thermal modalities equally to locate the common salient regions. However, the authors observed that the rich colour and texture information of the RGB modality makes the objects more prominent compared to the background; and the…
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Journal Article
Improved triplet loss for domain adaptation
Abstract A technique known as domain adaptation is utilised to address classification challenges in an unlabelled target domain by leveraging labelled source domains. Previous domain adaptation approaches have predominantly focussed on global domain adaptation, neglecting class‐level information…