Peixia Li

Orcid: 0000-0002-8702-4149

According to our database1, Peixia Li authored at least 15 papers between 2018 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
SiamSampler: Video-Guided Sampling for Siamese Visual Tracking.
IEEE Trans. Circuits Syst. Video Technol., April, 2023

Semi-Supervised Semantic Segmentation under Label Noise via Diverse Learning Groups.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Backbone is All Your Need: A Simplified Architecture for Visual Object Tracking.
Proceedings of the Computer Vision - ECCV 2022, 2022

Unsupervised Learning of Accurate Siamese Tracking.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Residual multi-task learning for facial landmark localization and expression recognition.
Pattern Recognit., 2021

PSViT: Better Vision Transformer via Token Pooling and Attention Sharing.
CoRR, 2021

Real-Time Visual Object Tracking via Few-Shot Learning.
CoRR, 2021

GLiT: Neural Architecture Search for Global and Local Image Transformer.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

BN-NAS: Neural Architecture Search with Batch Normalization.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Visual tracking by dynamic matching-classification network switching.
Pattern Recognit., 2020

2019
Multi attention module for visual tracking.
Pattern Recognit., 2019

GradNet: Gradient-Guided Network for Visual Object Tracking.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Deep visual tracking: Review and experimental comparison.
Pattern Recognit., 2018

The Sixth Visual Object Tracking VOT2018 Challenge Results.
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Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Real-Time 'Actor-Critic' Tracking.
Proceedings of the Computer Vision - ECCV 2018, 2018


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