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06/09/2023
RePaint-NeRF: NeRF Editting via Semantic Masks and Diffusion Models
The emergence of Neural Radiance Fields (NeRF) has promoted the developm...
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04/15/2023
Multi-View Graph Representation Learning Beyond Homophily
Unsupervised graph representation learning(GRL) aims to distill diverse ...
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11/28/2022
Learning to Learn: How to Continuously Teach Humans and Machines
Our education system comprises a series of curricula. For example, when ...
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05/22/2022
Incentivizing Federated Learning
Federated Learning is an emerging distributed collaborative learning par...
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05/19/2022
Unconventional Visual Sensors for Autonomous Vehicles
Autonomous vehicles rely on perception systems to understand their surro...
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03/03/2022
Graph Representation Learning Beyond Node and Homophily
Unsupervised graph representation learning aims to distill various graph...
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02/22/2022
3D ToF LiDAR in Mobile Robotics: A Review
In the past ten years, the use of 3D Time-of-Flight (ToF) LiDARs in mobi...
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09/07/2021
OdoNet: Untethered Speed Aiding for Vehicle Navigation Without Hardware Wheeled Odometer
Odometer has been proven to significantly improve the accuracy of the Gl...
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02/05/2021
Fusion of neural networks, for LIDAR-based evidential road mapping
LIDAR sensors are usually used to provide autonomous vehicles with 3D re...
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12/11/2020
Pair-view Unsupervised Graph Representation Learning
Low-dimension graph embeddings have proved extremely useful in various d...
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12/08/2020
KNN-enhanced Deep Learning Against Noisy Labels
Supervised learning on Deep Neural Networks (DNNs) is data hungry. Optim...
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10/16/2020
Melody Classifier with Stacked-LSTM
Attempts to use generative models for music generation have been common ...
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10/13/2020
InsClustering: Instantly Clustering LiDAR Range Measures for Autonomous Vehicle
LiDARs are usually more accurate than cameras in distance measuring. Hen...
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08/10/2020
Driving among Flatmobiles: Bird-Eye-View occupancy grids from a monocular camera for holistic trajectory planning
Camera-based end-to-end driving neural networks bring the promise of a l...
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07/13/2020
Inertial Sensing Meets Artificial Intelligence: Opportunity or Challenge?
The inertial navigation system (INS) has been widely used to provide sel...
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04/17/2020
Lidar for Autonomous Driving: The principles, challenges, and trends for automotive lidar and perception systems
Autonomous vehicles rely on their perception systems to acquire informat...
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04/09/2020
Deep Reinforcement Learning (DRL): Another Perspective for Unsupervised Wireless Localization
Location is key to spatialize internet-of-things (IoT) data. However, it...
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04/07/2020
Location-Enabled IoT (LE-IoT): A Survey of Positioning Techniques, Error Sources, and Mitigation
The Internet of Things (IoT) has started to empower the future of many i...
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03/14/2020