36 Result(s)
within
English
Computer Science
Image Processing and Computer Vision
**zhi Li
Conference Paper
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Chapter and Conference Paper
Explaining Federated Learning Through Concepts in Image Classification
Federated learning is a machine learning framework that solves the problem of data silos under secure data protection measures and is gradually becoming a machine learning paradigm for future AI development. I...
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Chapter and Conference Paper
Test-and-Decode: A Partial Recovery Scheme for Verifiable Coded Computing
Coded computing has proven its efficiency in tolerating stragglers in distributed computing. Workers return the sub-computation results to the master after computing, and the master recovers the final computat...
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Chapter and Conference Paper
RecAGT: Shard Testable Codes with Adaptive Group Testing for Malicious Nodes Identification in Sharding Permissioned Blockchain
Recently, permissioned blockchain has been extensively explored in various fields, such as asset management, supply chain, healthcare, and many others. Many scholars are dedicated to improving its verifiabilit...
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Chapter and Conference Paper
A Full-Level Based Network to Detect Every Aircraft in Airport Scene
The rapid development of civil aviation has led to increasingly crowded airports. The complex airport environment and large number of aircraft make airport object detection a difficult task. Due to the large e...
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Chapter and Conference Paper
Multisymplectic Unscented Kalman Filter for Geometrically Exact Beams
This paper introduces an unscented Kalman filter for the dynamics of geometrically exact beams based on multisymplectic geometry and Hamel’s formalism for classical field theories. The presented approach is a ...
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Chapter and Conference Paper
Semantic Relation Transfer for Non-overlapped Cross-domain Recommendations
Although cross-domain recommender systems (CDRSs) are promising approaches to solving the cold-start problem, most CDRSs require overlapped users, which significantly limits their applications. To remove the o...
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Chapter and Conference Paper
CAT: Controllable Attribute Translation for Fair Facial Attribute Classification
As the social impact of visual recognition has been under scrutiny, several protected-attribute balanced datasets emerged to address dataset bias in imbalanced datasets. However, in facial attribute classificatio...
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Chapter and Conference Paper
A Large-Scale Multiple-objective Method for Black-box Attack Against Object Detection
Recent studies have shown that detectors based on deep models are vulnerable to adversarial examples, even in the black-box scenario where the attacker cannot access the model information. Most existing attack...
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Chapter and Conference Paper
Nested Named Entity Recognition from Medical Texts: An Adaptive Shared Network Architecture with Attentive CRF
Recognizing useful named entities plays a vital role in medical information processing, which helps drive the development of medical area research. Deep learning methods have achieved good results in medical n...
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Chapter and Conference Paper
Weakly-Supervised Temporal Action Detection for Fine-Grained Videos with Hierarchical Atomic Actions
Action understanding has evolved into the era of fine granularity, as most human behaviors in real life have only minor differences. To detect these fine-grained actions accurately in a label-efficient way, we...
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Chapter and Conference Paper
HULC: 3D HUman Motion Capture with Pose Manifold SampLing and Dense Contact Guidance
Marker-less monocular 3D human motion capture (MoCap) with scene interactions is a challenging research topic relevant for extended reality, robotics and virtual avatar generation. Due to the inherent depth am...
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Chapter and Conference Paper
Building of Chemical Reaction Modules and Design of Chaotic Oscillatory System Based on DNA Strand Displacement
DNA strand displacement as a new type of technology has provided different ways to build complex circuits. Research on chemical kinetics is helpful for exploiting the inherent potential property of biomolecula...
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Chapter and Conference Paper
Risk Prediction of Esophageal Cancer Using SOM Clustering, SVM and GA-SVM
In order to find the blood indicators significantly associated with the survival of esophageal cancer and predict the classification of patients’ risk levels in an affordable, convenient, and accurate manner, ...
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Chapter and Conference Paper
Designing, Modeling and Testing of the Flexible Space Probe-Cone Docking and Refueling Mechanism
According to the requirements of docking and refueling satellites for deep space exploration, the paper presents a docking and refueling mechanism under a weak impact rendezvous and docking conditions. The fle...
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Chapter and Conference Paper
Efficient and Accurate Iris Detection and Segmentation Based on Multi-scale Optimized Mask R-CNN
Iris segmentation plays an important role in iris recognition. However, traditional iris segmentation performance decreases dramatically on non-constrained conditions, which stops iris recognition system from...
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Chapter and Conference Paper
Conceptual Design of Ejection, Aerostat and Rolling Group Detectors
Floating exploration in near Mars is a new mode between orbiting detection and landing detection, synthesized with the advantages of orbiter’s global coverage and rover’s high image definition. Rolling explora...
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Chapter and Conference Paper
Research on Spatial Target Classification and Recognition Technology Based on Deep Learning
With the progress of human space technology, mankind stepped into more distant space. Due to the long distance from the earth in deep space exploration, higher requirements were put forward for intelligent cog...
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Chapter and Conference Paper
The Intelligent Monitoring for the Elderly Based on WiFi Signals
With the increasing aging population, the intelligent monitoring for the elderly living alone has become a hot research topic. As the universal of WiFi, the intelligent monitoring system based on WiFi Channel...
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Chapter and Conference Paper
A Novel High Efficiency Distributed UEP Rateless Coding Scheme for Satellite Network Data Transmission
As the satellite networks can provide Internet access services, there are more and more kinds of data are transmitted on it. To ensure all kinds of data can be transmitted satisfied their own reliable requirem...
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Chapter and Conference Paper
Transfer Learning Method for Convolutional Neural Network in Automatic Modulation Classification
Automatic modulation classification (AMC) plays an important role in many fields to identify the modulation type of signals, in which the deep learning methods have shown attractive potential development. In o...
