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09/15/2023
A Bayesian Approach to Robust Inverse Reinforcement Learning
We consider a Bayesian approach to offline model-based inverse reinforce...
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04/27/2023
Exploiting Inductive Bias in Transformer for Point Cloud Classification and Segmentation
Discovering inter-point connection for efficient high-dimensional featur...
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03/27/2023
An active inference model of car following: Advantages and applications
Driver process models play a central role in the testing, verification, ...
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01/07/2023
Dynamic Local Feature Aggregation for Learning on Point Clouds
Existing point cloud learning methods aggregate features from neighbouri...
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02/11/2022
Dilated convolutional neural network-based deep reference picture generation for video compression
Motion estimation and motion compensation are indispensable parts of int...
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06/20/2021
Underwater Image Restoration via Contrastive Learning and a Real-world Dataset
Underwater image restoration is of significant importance in unveiling t...
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03/17/2021
Single Underwater Image Restoration by Contrastive Learning
Underwater image restoration attracts significant attention due to its i...
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09/25/2020
Integration of Formal Proof into Unified Assurance Cases with Isabelle/SACM
Assurance cases are often required to certify critical systems. The use ...
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04/11/2020
Object-oriented SLAM using Quadrics and Symmetry Properties for Indoor Environments
Aiming at the application environment of indoor mobile robots, this pape...
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10/11/2019
Coarse-To-Fine Visual Localization Using Semantic Compact Map
Robust visual localization for urban vehicles remains challenging and un...
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05/07/2019
Model Based System Assurance Using the Structured Assurance Case Metamodel
Assurance cases are used to demonstrate confidence in system properties ...
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04/01/2019