Feilin Liu

According to our database1, Feilin Liu authored at least 10 papers between 2020 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Links

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Bibliography

2022
Efficient Adaptive Upsampling Module for Real-Time Semantic Segmentation.
Int. J. Pattern Recognit. Artif. Intell., November, 2022

Road Friction Coefficient Estimation Via Weakly Supervised Semantic Segmentation and Uncertainty Estimation.
Int. J. Pattern Recognit. Artif. Intell., November, 2022

Identification of winter road friction coefficient based on multi-task distillation attention network.
Pattern Anal. Appl., 2022

Review the state-of-the-art technologies of semantic segmentation based on deep learning.
Neurocomputing, 2022

UPC-Faster-RCNN: A Dynamic Self-Labeling Algorithm for Open-Set Object Detection Based on Unknown Proposal Clustering.
Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2022

CLSD: Continual Learning for Lane Line Segmentation Across Domains.
Proceedings of the 7th IEEE International Conference on Intelligent Transportation Engineering, 2022

2021
GPU-Efficient Dense Convolutional Network for Real-time Semantic Segmentation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Multi Spatial Convolution Block for Lane Lines Semantic Segmentation.
Proceedings of the Intelligent Computing Theories and Application, 2021

2020
A Survey of Vision-Based Road Parameter Estimating Methods.
Proceedings of the Intelligent Computing Methodologies - 16th International Conference, 2020

Dense Dual-Path Network for Real-Time Semantic Segmentation.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020


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