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Article
Softmax-Free Linear Transformers
Vision transformers (ViTs) have pushed the state-of-the-art for visual perception tasks. The self-attention mechanism underpinning the strength of ViTs has a quadratic complexity in both computation and memory...
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Article
Open AccessRegional bias in monolingual English language models
In Natural Language Processing (NLP), pre-trained language models (LLMs) are widely employed and refined for various tasks. These models have shown considerable social and geographic biases creating skewed or ...
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Article
Retraction Note: Quality assessment for virtual reality technology based on real scene
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Article
Learnable scene prior for point cloud semantic segmentation
In this paper, we propose a Geo-SceneEncoder framework to handle point cloud scene semantic segmentation, including a SceneEncoder to learn a scene prior, an advanced geometric kernel to learn geometry informa...
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Chapter and Conference Paper
Space Brain: An AI Autonomous Spatial Decision System
Ubiquitous computing has proposed the idea of seamless integration of computing devices into smart spaces earlier. The proliferation of Internet of Things (IoT) technologies offers users an expanding array of ...
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Chapter and Conference Paper
Where to Turn: Road Fork Detection in Sparse 3D Point Cloud
Intersection detection plays a crucial role in localizing and planning the path of autonomous vehicles in urban environments. This paper presents a novel approach, PVWO, for adaptive intersection detection in ...
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Chapter and Conference Paper
4DFA: Four-Dimensional Full-Anatomy Reconstruction of Individualized Digital Human Models Based on Motion Videos
Reconstructing personalized models of the human body is a key step for digital twin modeling of sports motion. There have been many studies reconstructing the body surface models based on video sequences, but ...
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Chapter and Conference Paper
Leveraging Panoptic Prior for 3D Zero-Shot Semantic Understanding Within Language Embedded Radiance Fields
Language Embedded Radiance Fields (LERF) achieves promising results in real-time dense relevancy maps within NeRF 3D scenes. Although LERF shows impressive zero-shot ability in many long-tail open-vocabulary q...
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Article
Image Quality Assessment via Inter-class and Intra-class Differences for Efficient Classification
With the development of data-centric artificial intelligence, more and more people pay attention to the importance of image information quality. Based on the core idea that images in datasets have different in...
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Article
Mixture of Experts Residual Learning for Hamming Hashing
Image retrieval has drawn growing attention due to the rapid emergence of images on the Internet. Due to the high storage and computation efficiency, hashing methods are widely employed in approximate nearest ...
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Article
Multi-perspective contrastive learning framework guided by sememe knowledge and label information for sarcasm detection
Sarcasm is a prevailing rhetorical device that intentionally uses words that literally meaning opposite the real meaning. Due to this deliberate ambiguity, accurately detecting sarcasm can encourage the compre...
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Article
HSNet: hierarchical semantics network for scene parsing
Scene parsing is one of the fundamental tasks in computer vision. Humans tend to perceive a scene in a hierarchical manner, i.e., first identifying the coarse category (e.g., vehicle) of a group of objects and...
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Article
Attention-based deep convolutional neural network for spectral efficiency optimization in MIMO systems
Spectral efficiency (SE) optimization in massive multiple input multiple output (MIMO) antenna cognitive systems is a challenge originated from the coexistence restrictions. Traditional power allocation can op...
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Chapter and Conference Paper
Cross-Sensor Fingerprint Recognition Based on Style Transfer Network and Score Fusion
With the emergence of various types of fingerprint sensors, the fingerprint images collected by different sensors are distinct from each other due to systemic deformation and the different imaging style. Most ...
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Chapter and Conference Paper
Verification of IoT-Aware Business Processes Based on Extended Petri Nets
With the rapid development of cloud computing and Internet of Things (IoT)technology, the convergence of BPM (Business Process Management) and IoT big data has attracted more and more attention. Integrating Io...
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Chapter and Conference Paper
Perching Control for UAV Based on Feedback Control and Visual Servo
This paper presents a perching control strategy for a novel tiltable Unmanned Aerial Vehicle (UAV). The control scheme is based on the position-based visual servo and double-loop control method. Firstly, the d...
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Chapter and Conference Paper
GC-GAN: Photo Cartoonization Using Guided Cartoon Generative Adversarial Network
Image cartoonization, a subfield of image translation, has gained increasing attention in recent years. However, the overall performance of existing methods is limited by shortcomings such as poorly fitting re...
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Chapter and Conference Paper
Horizontal Federated Traffic Speed Prediction Base on Secure Node Attribute Aggregation
Federated graph learning has been widely used in distributed graph machine learning tasks. The data distribution of existing graph-based federated Spatio-temporal prediction methods is mainly segmented by grap...
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Chapter and Conference Paper
Easy Induction: A Serious Game Using Participatory Design
College freshmen often face difficulties adjusting to the new academic and social environment of university life. It is critical to help them adapt to academic and personal life, while also improving their sen...
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Article
Open AccessWhen Research Topic Trend Prediction Meets Fact-Based Annotations
The unprecedented growth of publications in many research domains brings the great convenience for tracing and analyzing the evolution and development of research topics. Despite the significant contributions ...