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08/14/2023
UniWorld: Autonomous Driving Pre-training via World Models
In this paper, we draw inspiration from Alberto Elfes' pioneering work i...
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07/06/2023
Contrastive Label Disambiguation for Self-Supervised Terrain Traversability Learning in Off-Road Environments
Discriminating the traversability of terrains is a crucial task for auto...
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07/05/2023
Traversability Analysis for Autonomous Driving in Complex Environment: A LiDAR-based Terrain Modeling Approach
For autonomous driving, traversability analysis is one of the most basic...
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05/30/2023
Occ-BEV: Multi-Camera Unified Pre-training via 3D Scene Reconstruction
Multi-camera 3D perception has emerged as a prominent research field in ...
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11/13/2022
Adversarial and Random Transformations for Robust Domain Adaptation and Generalization
Data augmentation has been widely used to improve generalization in trai...
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06/20/2022
ORFD: A Dataset and Benchmark for Off-Road Freespace Detection
Freespace detection is an essential component of autonomous driving tech...
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06/20/2022
Voxel-MAE: Masked Autoencoders for Pre-training Large-scale Point Clouds
Mask-based pre-training has achieved great success for self-supervised l...
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02/06/2022
Block shuffling learning for Deepfake Detection
Although the deepfake detection based on convolutional neural network ha...
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10/22/2021
Model Inspired Autoencoder for Unsupervised Hyperspectral Image Super-Resolution
This paper focuses on hyperspectral image (HSI) super-resolution that ai...
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05/09/2021
Trajectory Prediction for Autonomous Driving with Topometric Map
State-of-the-art autonomous driving systems rely on high definition (HD)...
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04/06/2021
Attentional Graph Neural Network for Parking-slot Detection
Deep learning has recently demonstrated its promising performance for vi...
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11/28/2020
Privacy-Preserving Federated Learning for UAV-Enabled Networks: Learning-Based Joint Scheduling and Resource Management
Unmanned aerial vehicles (UAVs) are capable of serving as flying base st...
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08/13/2020
Sparse Coding Driven Deep Decision Tree Ensembles for Nuclear Segmentation in Digital Pathology Images
In this paper, we propose an easily trained yet powerful representation ...
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05/06/2020
Drosophila-Inspired 3D Moving Object Detection Based on Point Clouds
3D moving object detection is one of the most critical tasks in dynamic ...
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04/27/2020
Eliminating NB-IoT Interference to LTE System: a Sparse Machine Learning Based Approach
Narrowband internet-of-things (NB-IoT) is a competitive 5G technology fo...
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02/13/2020
Fast Reinforcement Learning for Anti-jamming Communications
This letter presents a fast reinforcement learning algorithm for anti-ja...
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07/25/2019
Self-supervised Domain Adaptation for Computer Vision Tasks
Recent progress of self-supervised visual representation learning has ac...
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01/23/2018
Secure Mobile Crowdsensing with Deep Learning
In order to stimulate secure sensing for Internet of Things (IoT) applic...
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01/19/2018
IoT Security Techniques Based on Machine Learning
Internet of things (IoT) that integrate a variety of devices into networ...
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01/19/2018
Defense Against Advanced Persistent Threats in Dynamic Cloud Storage: A Colonel Blotto Game Approach
Advanced Persistent Threat (APT) attackers apply multiple sophisticated ...
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01/18/2018
Security in Mobile Edge Caching with Reinforcement Learning
Mobile edge computing usually uses cache to support multimedia contents ...
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12/23/2017
Learning-Based Computation Offloading for IoT Devices with Energy Harvesting
Internet of Things (IoT) devices can apply mobile-edge computing (MEC) a...
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12/19/2017
Two-dimensional Anti-jamming Mobile Communication Based on Reinforcement Learning
By using smart radio devices, a jammer can dynamically change its jammin...
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11/05/2017