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08/30/2023
Two-Stage Violence Detection Using ViTPose and Classification Models at Smart Airports
This study introduces an innovative violence detection framework tailore...
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07/29/2023
Dynamic deep-reinforcement-learning algorithm in Partially Observed Markov Decision Processes
Reinforcement learning has been greatly improved in recent studies and a...
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12/30/2022
An Auction-based Coordination Strategy for Task-Constrained Multi-Agent Stochastic Planning with Submodular Rewards
In many domains such as transportation and logistics, search and rescue,...
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09/08/2022
Incremental Correction in Dynamic Systems Modelled with Neural Networks for Constraint Satisfaction
This study presents incremental correction methods for refining neural n...
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07/12/2022
Estimation of non-symmetric and unbounded region of attraction using shifted shape function and R-composition
A general numerical method using sum of squares programming is proposed ...
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05/30/2022
A Transistor Operations Model for Deep Learning Energy Consumption Scaling Law
Deep Learning (DL) has transformed the automation of a wide range of ind...
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03/05/2022
Bayesian Learning Approach to Model Predictive Control
This study presents a Bayesian learning perspective towards model predic...
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10/25/2021
Variational Probabilistic Multi-Hypothesis Tracking
This paper proposes a novel multi-target tracking (MTT) algorithm for sc...
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08/18/2021
Scarce Data Driven Deep Learning of Drones via Generalized Data Distribution Space
Increased drone proliferation in civilian and professional settings has ...
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03/09/2021
Computational Impact Time Guidance: A Learning-Based Prediction-Correction Approach
This paper investigates the problem of impact-time-control and proposes ...
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02/21/2021
Model Checking for Decision Making System of Long Endurance Unmanned Surface Vehicle
This work aims to develop a model checking method to verify the decision...
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11/25/2020
Relation3DMOT: Exploiting Deep Affinity for 3D Multi-Object Tracking from View Aggregation
Autonomous systems need to localize and track surrounding objects in 3D ...
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09/09/2020
RoIFusion: 3D Object Detection from LiDAR and Vision
When localizing and detecting 3D objects for autonomous driving scenes, ...
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06/10/2020
Scalable Partial Explainability in Neural Networks via Flexible Activation Functions
Achieving transparency in black-box deep learning algorithms is still an...
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02/27/2020
Improving Learning Effectiveness For Object Detection and Classification in Cluttered Backgrounds
Usually, Neural Networks models are trained with a large dataset of imag...
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09/23/2019
Go Wider: An Efficient Neural Network for Point Cloud Analysis via Group Convolutions
In order to achieve better performance for point cloud analysis, many re...
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09/03/2019
Threshold Greedy Based Task Allocation for Multiple Robot Operations
This paper deals with large-scale decentralised task allocation problems...
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08/19/2019
Computational Flight Control: A Domain-Knowledge-Aided Deep Reinforcement Learning Approach
This papers aims to examine the potential of using the emerging deep rei...
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06/10/2019
Fast Hierarchical Neural Network for Feature Learning on Point Cloud
The analyses relying on 3D point clouds are an utterly complex task, oft...
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05/21/2019
GAPNet: Graph Attention based Point Neural Network for Exploiting Local Feature of Point Cloud
Exploiting fine-grained semantic features on point cloud is still challe...
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11/19/2018
Fast submodular maximization subject to k-extendible system constraints
As the scales of data sets expand rapidly in some application scenarios,...
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11/18/2017
Anonymous Hedonic Game for Task Allocation in a Large-Scale Multiple Agent System
This paper proposes a novel game-theoretical autonomous decision-making ...
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11/18/2017