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04/03/2023
A Hierarchical Multi-Vehicle Coordinated Motion Planning Method based on Interactive Spatio-Temporal Corridors
Multi-vehicle coordinated motion planning has always been challenged to ...
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11/06/2021
Prediction of Pedestrian Spatiotemporal Risk Levels for Intelligent Vehicles: A Data-driven Approach
In recent years, road safety has attracted significant attention from re...
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08/22/2020
A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability
People with diabetes are at risk of developing an eye disease called dia...
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05/20/2020
Fingerprinting Encrypted Voice Traffic on Smart Speakers with Deep Learning
This paper investigates the privacy leakage of smart speakers under an e...
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01/23/2020
Data Inference from Encrypted Databases: A Multi-dimensional Order-Preserving Matching Approach
Due to increasing concerns of data privacy, databases are being encrypte...
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12/10/2019
DR-GAN: Conditional Generative Adversarial Network for Fine-Grained Lesion Synthesis on Diabetic Retinopathy Images
Diabetic retinopathy (DR) is a complication of diabetes that severely af...
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07/10/2019
Evaluation of Retinal Image Quality Assessment Networks in Different Color-spaces
Retinal image quality assessment (RIQA) is essential for controlling the...
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07/04/2019
Regeneration and Joining of the Learned Motion Primitives for Automated Vehicle Motion Planning Applications
How to integrate human factors into the motion planning system is of gre...
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09/17/2018
Learning to Segment and Represent Motion Primitives from Driving Data for Motion Planning Applications
Developing an intelligent vehicle which can perform human-like actions r...
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06/02/2018