Xin Li

Orcid: 0000-0002-1670-1368

Affiliations:
  • Peng Cheng Laboratory, Shenzhen, China
  • Harbin Institute of Technology Shenzhen Graduate School, Department of Computer Science, China (Ph.D.)


According to our database1, Xin Li authored at least 36 papers between 2014 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
VisEvent: Reliable Object Tracking via Collaboration of Frame and Event Flows.
IEEE Trans. Cybern., March, 2024

2023
Siamese residual network for efficient visual tracking.
Inf. Sci., May, 2023

Learning Dual-Level Deep Representation for Thermal Infrared Tracking.
IEEE Trans. Multim., 2023

2022
SiamCorners: Siamese Corner Networks for Visual Tracking.
IEEE Trans. Multim., 2022

Object Tracking via Spatial-Temporal Memory Network.
IEEE Trans. Circuits Syst. Video Technol., 2022

Target-Aware State Estimation for Visual Tracking.
IEEE Trans. Circuits Syst. Video Technol., 2022

Noise-Suppressing Deep Tracking.
IEEE Trans. Circuits Syst. Video Technol., 2022

How Image Generation Helps Visible-to-Infrared Person Re-Identification?
CoRR, 2022

Context-aware Visual Tracking with Joint Meta-updating.
CoRR, 2022

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

Multi-Object Tracking Meets Moving UAV.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Learning Deep Multi-Level Similarity for Thermal Infrared Object Tracking.
IEEE Trans. Multim., 2021

Learning dual-margin model for visual tracking.
Neural Networks, 2021

Interactive convolutional learning for visual tracking.
Knowl. Based Syst., 2021

An Informative Tracking Benchmark.
CoRR, 2021

Crop-Transform-Paste: Self-Supervised Learning for Visual Tracking.
CoRR, 2021

Saliency-Associated Object Tracking.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
PTB-TIR: A Thermal Infrared Pedestrian Tracking Benchmark.
IEEE Trans. Multim., 2020

Dual-regression model for visual tracking.
Neural Networks, 2020

Visual object tracking with adaptive structural convolutional network.
Knowl. Based Syst., 2020

LSOTB-TIR: A Large-Scale High-Diversity Thermal Infrared Object Tracking Benchmark.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Negative-Aware Training: Be Aware of Negative Samples.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Multi-Task Driven Feature Models for Thermal Infrared Tracking.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Hierarchical spatial-aware Siamese network for thermal infrared object tracking.
Knowl. Based Syst., 2019

Region-filtering correlation tracking.
Knowl. Based Syst., 2019

Multi-Task Driven Feature Models for Thermal Infrared Tracking.
CoRR, 2019

The Seventh Visual Object Tracking VOT2019 Challenge Results.
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Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Target-Aware Deep Tracking.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2017
Hierarchical Siamese Network for Thermal Infrared Object Tracking.
CoRR, 2017

Multiple object tracking by incorporating a particle filter into the min-cost flow model.
Proceedings of the International Conference on Security, Pattern Analysis, and Cybernetics, 2017

2016
Connected Component Model for Multi-Object Tracking.
IEEE Trans. Image Process., 2016

A multi-view model for visual tracking via correlation filters.
Knowl. Based Syst., 2016

The Visual Object Tracking VOT2016 Challenge Results.
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Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016


2015
A robust local sparse tracker with global consistency constraint.
Signal Process., 2015

2014
A novel joint tracker based on occlusion detection.
Knowl. Based Syst., 2014


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