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06/23/2022
Universal Learned Image Compression With Low Computational Cost
Recently, learned image compression methods have developed rapidly and e...
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04/04/2022
Context-aware Visual Tracking with Joint Meta-updating
Visual object tracking acts as a pivotal component in various emerging v...
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03/04/2022
Transformations in Learned Image Compression from a Modulation Perspective
In this paper, a unified transformation method in learned image compress...
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02/09/2022
Exploring Structural Sparsity in Neural Image Compression
Neural image compression have reached or out-performed traditional metho...
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03/03/2021
Surrogate-assisted cooperative signal optimization for large-scale traffic networks
Reasonable setting of traffic signals can be very helpful in alleviating...
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03/01/2021
Enhancing hierarchical surrogate-assisted evolutionary algorithm for high-dimensional expensive optimization via random projection
By remarkably reducing real fitness evaluations, surrogate-assisted evol...
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01/19/2021
A Surrogate-Assisted Variable Grouping Algorithm for General Large Scale Global Optimization Problems
Problem decomposition plays a vital role when applying cooperative coevo...
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06/05/2020
TCDesc: Learning Topology Consistent Descriptors
Triplet loss is widely used for learning local descriptors from image pa...
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04/05/2020
An Eigenspace Divide-and-Conquer Approach for Large-Scale Optimization
Divide-and-conquer-based (DC-based) evolutionary algorithms (EAs) have a...
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03/01/2018
Niching an Archive-based Gaussian Estimation of Distribution Algorithm via Adaptive Clustering
As a model-based evolutionary algorithm, estimation of distribution algo...
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03/01/2018
A Global Information Based Adaptive Threshold for Grouping Large Scale Global Optimization Problems
By taking the idea of divide-and-conquer, cooperative coevolution (CC) p...
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03/01/2018
Enhancing Cooperative Coevolution for Large Scale Optimization by Adaptively Constructing Surrogate Models
It has been shown that cooperative coevolution (CC) can effectively deal...
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02/27/2018
Surrogate Model Assisted Cooperative Coevolution for Large Scale Optimization
It has been shown that cooperative coevolution (CC) can effectively deal...
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02/27/2018
Boosting Cooperative Coevolution for Large Scale Optimization with a Fine-Grained Computation Resource Allocation Strategy
Cooperative coevolution (CC) has shown great potential in solving large ...
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02/25/2018
Enhancing Gaussian Estimation of Distribution Algorithm by Exploiting Evolution Direction with Archive
As a typical model-based evolutionary algorithm (EA), estimation of dist...
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12/22/2017