research
∙
07/18/2023
Online Self-Supervised Thermal Water Segmentation for Aerial Vehicles
We present a new method to adapt an RGB-trained water segmentation netwo...
share
research
∙
06/24/2023
Open-Set RF Fingerprinting via Improved Prototype Learning
Deep learning has been widely used in radio frequency (RF) fingerprintin...
research
∙
06/24/2023
Radio Generation Using Generative Adversarial Networks with An Unrolled Design
As a revolutionary generative paradigm of deep learning, generative adve...
research
∙
05/18/2023
mdctGAN: Taming transformer-based GAN for speech super-resolution with Modified DCT spectra
Speech super-resolution (SSR) aims to recover a high resolution (HR) spe...
research
∙
04/28/2023
Semi-Supervised RF Fingerprinting with Consistency-Based Regularization
As a promising non-password authentication technology, radio frequency (...
research
∙
10/09/2022
Unsupervised RGB-to-Thermal Domain Adaptation via Multi-Domain Attention Network
This work presents a new method for unsupervised thermal image classific...
research
∙
07/20/2022
K-Means Based Constellation Optimization for Index Modulated Reconfigurable Intelligent Surfaces
Reconfigurable intelligent surface (RIS) has recently emerged as a promi...
research
∙
07/07/2022
Energy-based Legged Robots Terrain Traversability Modeling via Deep Inverse Reinforcement Learning
This work reports on developing a deep inverse reinforcement learning me...
research
∙
05/18/2022
Deep Reinforcement Learning Based on Location-Aware Imitation Environment for RIS-Aided mmWave MIMO Systems
Reconfigurable intelligent surface (RIS) has recently gained popularity ...
research
∙
02/16/2022
RNGDet: Road Network Graph Detection by Transformer in Aerial Images
Road network graphs provide critical information for autonomous vehicle ...
research
∙
11/12/2021
A Robust Deep Learning-Based Beamforming Design for RIS-assisted Multiuser MISO Communications with Practical Constraints
Reconfigurable intelligent surface (RIS) has become a promising technolo...
research
∙
11/11/2021
csBoundary: City-scale Road-boundary Detection in Aerial Images for High-definition Maps
High-Definition (HD) maps can provide precise geometric and semantic inf...
research
∙
11/09/2021
Time-Varying Channel Prediction for RIS-Assisted MU-MISO Networks via Deep Learning
To mitigate the effects of shadow fading and obstacle blocking, reconfig...
research
∙
10/22/2021
The Optimal Pilot Power Allocation Strategy for Multi-IRS Assisted Communication Systems
Intelligent reflecting surface (IRS) is a promising technology that enab...
research
∙
10/18/2021
Reconfigurable Intelligent Surface-Enhanced OFDM Communications via Delay Adjustable Metasurface
Reconfigurable intelligent surface (RIS) is a promising technology for e...
research
∙
08/06/2021
Dynamic Semantic Occupancy Mapping using 3D Scene Flow and Closed-Form Bayesian Inference
This paper reports on a dynamic semantic mapping framework that incorpor...
research
∙
07/27/2021
Low-Complexity Improved-Throughput Generalised Spatial Modulation: Bit-to-Symbol Mapping, Detection and Performance Analysis
Low-complexity improved-throughput generalised spatial modulation (LCIT-...
research
∙
06/28/2021
Multi-Task Learning for Scalable and Dense Multi-Layer Bayesian Map Inference
This paper presents a novel and flexible multi-task multi-layer Bayesian...
research
∙
05/30/2021
Joint Training of the Superimposed Direct and Reflected Links in Reconfigurable Intelligent Surface Assisted Multiuser Communications
In Reconfigurable intelligent surface (RIS)-assisted systems the acquisi...
research
∙
04/16/2020
Hercules: An Autonomous Logistic Vehicle for Contact-less Goods Transportation During the COVID-19 Outbreak
Since December 2019, the coronavirus disease 2019 (COVID-19) has spread ...
research
∙
09/10/2019
Bayesian Spatial Kernel Smoothing for ScalableDense Semantic Mapping
This paper develops a Bayesian continuous 3D semantic occupancy map from...
research
∙
08/23/2019
LiDARTag: A Real-Time Fiducial Tag using Point Clouds
Image-based fiducial markers are widely used in robotics and computer vi...
research
∙
03/20/2018
Hybrid Contact Preintegration for Visual-Inertial-Contact State Estimation within Factor Graphs
The factor graph framework is a convenient modeling technique for roboti...
research
∙
12/15/2017
Legged Robot State-Estimation Through Combined Forward Kinematic and Preintegrated Contact Factors
State-of-the-art robotic perception systems have achieved sufficiently g...
research
∙
06/16/2015