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07/19/2023
Graph Federated Learning Based on the Decentralized Framework
Graph learning has a wide range of applications in many scenarios, which...
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05/08/2023
A Drop of Ink may Make a Million Think: The Spread of False Information in Large Language Models
Large language models (LLMs) like ChatGPT have gained increasing promine...
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04/11/2023
Loop Closure Detection Based on Object-level Spatial Layout and Semantic Consistency
Visual simultaneous localization and mapping (SLAM) systems face challen...
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06/21/2022
Optimally Controllable Perceptual Lossy Compression
Recent studies in lossy compression show that distortion and perceptual ...
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05/25/2022
An Experimental Comparison Between Temporal Difference and Residual Gradient with Neural Network Approximation
Gradient descent or its variants are popular in training neural networks...
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02/23/2022
Skeleton Sequence and RGB Frame Based Multi-Modality Feature Fusion Network for Action Recognition
Action recognition has been a heated topic in computer vision for its wi...
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08/04/2021
Optimal Transport for Unsupervised Restoration Learning
Recently, much progress has been made in unsupervised restoration learni...
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07/15/2021
A life-long SLAM approach using adaptable local maps based on rasterized LIDAR images
Most real-time autonomous robot applications require a robot to traverse...
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06/05/2021
On Perceptual Lossy Compression: The Cost of Perceptual Reconstruction and An Optimal Training Framework
Lossy compression algorithms are typically designed to achieve the lowes...
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03/19/2021
6-DOF Feature based LIDAR SLAM using ORB Features from Rasterized Images of 3D LIDAR Point Cloud
An accurate and computationally efficient SLAM algorithm is vital for mo...
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08/04/2020
Simultaneous Consensus Maximization and Model Fitting
Maximum consensus (MC) robust fitting is a fundamental problem in low-le...
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06/16/2019
Blind Image Deblurring Using Patch-Wise Minimal Pixels Regularization
Blind image deblurring is a long standing challenging problem in image p...
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03/02/2019
Matrix Completion via Nonconvex Regularization: Convergence of the Proximal Gradient Algorithm
Matrix completion has attracted much interest in the past decade in mach...
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12/15/2018
3DTI-Net: Learn Inner Transform Invariant 3D Geometry Features using Dynamic GCN
Deep learning on point clouds has made a lot of progress recently. Many ...
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08/16/2018
Nonconvex Regularization Based Sparse and Low-Rank Recovery in Signal Processing, Statistics, and Machine Learning
In the past decade, sparse and low-rank recovery have drawn much attenti...
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08/09/2018
Efficient Outlier Removal for Large Scale Global Structure-from-Motion
This work addresses the outlier removal problem in large-scale global st...
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04/02/2018
Benefit of Joint DOA and Delay Estimation with Application to Indoor Localization in WiFi and 5G
Accurate indoor localization has long been a challenging problem due to ...
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04/02/2018
Joint DOA and Delay Estimation for 3D Indoor Localization in Next Generation WiFi and 5G
This paper address the joint direction-of-arrival (DOA) and time delay (...
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04/15/2016