Knowledge Graph and Semantic Computing: Knowledge Graph Empowers Artificial General Intelligence
8th China Conference, CCKS 2023, Shenyang, China, August 24–27, 2023, Revised Selected Papers
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42 Result(s)
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Article
A vision-based approach for detecting occluded objects in construction sites
Ensuring the safety of workers and machinery during operations is a critical task in the construction sites. However, an inevitable circumstance in construction sites is the complex and dynamic environment, wh...
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Article
Automatic multi-view registration of point clouds via a high-quality descriptor and a novel 3D transformation estimation technique
Generally, performing multiple scans is necessary to cover entire scanning area, and multiple point clouds are thus obtained. These point clouds need to be registered together, which is the focus of our work. ...
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Article
Film-GAN: towards realistic analog film photo generation
In recent years, the art of film photography has reemerged as a topic of interest for both researchers and the community. Unlike digital photography, which relies on pixels to capture and store information, fi...
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Article
An algorithm for overlap** chromosome segmentation based on region selection
Chromosome images are commonly used in karyotype analysis to diagnose chromosomal diseases. However, there are often chromosome adhesion and overlaps in chromosome images, so effective chromosome segmentation ...
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Article
SCTV-UNet: a COVID-19 CT segmentation network based on attention mechanism
The global outbreak of COVID-19 has become an important research topic in healthcare since 2019. RT-PCR is the main method for detecting COVID-19, but the long detection time is a problem. Therefore, the patho...
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Book and Conference Proceedings
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Chapter and Conference Paper
Accurate Detection of the Workers and Machinery in Construction Sites Considering the Occlusions
Traditional supervision of safety in construction sites is usually carried out manually, which may be inefficient and lacks real-time capability. In recent years, scholars have conducted the researches that ut...
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Chapter
10 Security and Privacy Problems in Large Foundation Models
Foundation models—such as GPT, CLIP, and DINO—have achieved revolutionary progress in the past several years and are commonly believed to be a promising approach for general-purpose AI. In particular, self-sup...
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Article
Active object perception using Bayesian classifiers and haptic exploration
To recognise objects using only tactile sensing, humans employ various haptic exploratory procedures (EPs). Because the time, effort, and information acquisition costs of different EPs vary, choosing the best ...
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Chapter and Conference Paper
Causal Inference-Based Debiasing Framework for Knowledge Graph Completion
The task of Knowledge Graph Completion (KGC) entails inferring missing relations and facts in a partially specified graph to discover new knowledge. However, the discrepancy in the targets between the training...
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Chapter and Conference Paper
Contact Force Prediction for a Robotic Transesophageal Ultrasound Probe via Operating Torque Sensing
The advent of transesophageal ultrasound robots has provided a new idea to simplify relevant clinical procedures. However, the existing add-on robots often lack the ability to predict the contact force betwee...
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Chapter and Conference Paper
Hybrid Syntactic Graph Convolutional Networks for Chinese Event Detection
Event Detection (ED) is a task that aims to recognize triggers and identify the event type in sentences. Syntactic information plays a crucial role in event detection model accurately to recognize the triggers...
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Book and Conference Proceedings
Knowledge Graph and Semantic Computing: Knowledge Graph Empowers New Infrastructure Construction
6th China Conference, CCKS 2021, Guangzhou, China, November 4-7, 2021, Proceedings
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Chapter
Comprehensive Minimum Cost Models Based on Consensus Measures
Nowadays, consensus is key in Group Decision Making (GDM). Many times, decision makers who participate in a GDM problem discuss and modify their initial opinions in order to reach a consensual solution; this p...
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Article
Open AccessAdaptive force and velocity control based on intrinsic contact sensing during surface exploration of dynamic objects
Haptic exploration is a process of using haptic feedback to interact and perceive an unknown object. It is an essential approach to understand the physical and geometrical properties of the object. While numer...
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Chapter and Conference Paper
Application Analysis of Contourlet Transform in Image Denoising of Flue-Cured Tobacco Leaves
Image denoising is one of the most basic and important tasks in image processing when computer is used for quality inspection of flue-cured tobacco leaves. The Contourlet transform has the advantages of multir...
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Chapter and Conference Paper
MTNE: A Multitext Aware Network Embedding for Predicting Drug-Drug Interaction
Identifying drug-drug interactions (DDIs) is an important research topic in drug discovery. Accurate predictions of DDIs reduce the unexpected interactions during the drug development process and play a signif...
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Article
Open AccessiCLAP: shape recognition by combining proprioception and touch sensing
For humans, both the proprioception and touch sensing are highly utilized when performing haptic perception. However, most approaches in robotics use only either proprioceptive data or touch data in haptic obj...
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Chapter and Conference Paper
One-Dimensional Convolutional Network for Dosimetry Evaluation at Organs-at-Risk in Esophageal Radiation Treatment Planning
Dose volume histogram (DVH) is an important dosimetry evaluation metric and it plays an important role in guiding the development of esophageal ra-diotherapy treatment plans. Automatic DVH prediction is theref...
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Chapter and Conference Paper
Performance Analysis and Optimization of Alluxio with OLAP Workloads over Virtual Infrastructure
With the popularity of cloud computing, decoupled compute-storage architecture has become a trend
