Search Results for author: Pei Li

Found 11 papers, 1 papers with code

Demystifying Deep Reinforcement Learning-Based Autonomous Vehicle Decision-Making

no code implementations18 Mar 2024 Hanxi Wan, Pei Li, Arpan Kusari

With the advent of universal function approximators in the domain of reinforcement learning, the number of practical applications leveraging deep reinforcement learning (DRL) has exploded.

Autonomous Vehicles Continuous Control +2

Transmission Line Detection Based on Improved Hough Transform

no code implementations5 Feb 2024 Wei Song, Pei Li, Man Wang

To address the challenges of low detection accuracy and high false positive rates of transmission lines in UAV (Unmanned Aerial Vehicle) images, we explore the linear features and spatial distribution.

Line Detection

FedBA: Non-IID Federated Learning Framework in UAV Networks

no code implementations10 Oct 2022 Pei Li, Zhijun Liu, Luyi Chang, Jialiang Peng, Yi Wu

This is because most drones still use centralized cloud-based data processing, which may lead to leakage of data collected by drones.

Federated Learning

A Probabilistic Framework for Estimating the Risk of Pedestrian-Vehicle Conflicts at Intersections

no code implementations28 Jul 2022 Pei Li, Huizhong Guo, Shan Bao, Arpan Kusari

To evaluate pedestrian safety proactively, surrogate safety measures (SSMs) have been widely used in traffic conflict-based studies as they do not require historical crashes as inputs.

Graph Neural Network-Based Scheduling for Multi-UAV-Enabled Communications in D2D Networks

no code implementations15 Feb 2022 Pei Li, Lingyi Wang, Wei Wu, Fuhui Zhou, Baoyun Wang, Qihui Wu

In this paper, we propose a novel graph neural networks (GNN) based approach that can map the considered system into a specific graph structure and achieve the optimal solution in a low complexity manner.

Scheduling

Task-Based Graph Signal Compression

1 code implementation24 Oct 2021 Pei Li, Nir Shlezinger, Haiyang Zhang, Baoyun Wang, Yonina C. Eldar

The common framework for graph signal compression is based on sampling, resulting in a set of continuous-amplitude samples, which in turn have to be quantized into a finite bit representation.

Quantization

Measuring Human Perception to Improve Handwritten Document Transcription

no code implementations7 Apr 2019 Samuel Grieggs, Bingyu Shen, Greta Rauch, Pei Li, Jiaqi Ma, David Chiang, Brian Price, Walter J. Scheirer

The subtleties of human perception, as measured by vision scientists through the use of psychophysics, are important clues to the internal workings of visual recognition.

On Low-Resolution Face Recognition in the Wild: Comparisons and New Techniques

no code implementations29 May 2018 Pei Li, Loreto Prieto, Domingo Mery, Patrick Flynn

Although face recognition systems have achieved impressive performance in recent years, the low-resolution face recognition (LRFR) task remains challenging, especially when the LR faces are captured under non-ideal conditions, as is common in surveillance-based applications.

Face Identification Face Recognition +1

Face Recognition in Low Quality Images: A Survey

no code implementations29 May 2018 Pei Li, Loreto Prieto, Domingo Mery, Patrick Flynn

Its applications lie widely in the real-world environment when high-resolution or high-quality images are hard to capture.

Deblurring Face Recognition +1

An Anti-fraud System for Car Insurance Claim Based on Visual Evidence

no code implementations30 Apr 2018 Pei Li, Bingyu Shen, Weishan Dong

Both local and global deep features are extracted using VGG model\cite{Simonyan14c}, which are fused later for more robust system performance.

Scene Understanding

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