Xu Zhao

Orcid: 0000-0001-5888-8872

Affiliations:
  • Chinese Academy of Sciences, Institute of Automation, National Laboratory of Pattern Recognition, Beijing, China


According to our database1, Xu Zhao authored at least 25 papers between 2017 and 2025.

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

Timeline

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Legend:

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In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2025
Learning enhancing modality-invariant features for visible-infrared person re-identification.
Int. J. Mach. Learn. Cybern., January, 2025

2024
Monocular Lane Detection Based on Deep Learning: A Survey.
CoRR, 2024

MSAOT: Enhancing Video Object Segmentation with Memory-Selective Updates and High-Quality Mask Regeneration.
Proceedings of the 2024 13th International Conference on Computing and Pattern Recognition, 2024

Knowledge Distillation Dealing with Sample-Wise Long-Tail Problem.
Proceedings of the Computer Vision - ACCV 2024, 2024

Fluctuation-Based Adaptive Structured Pruning for Large Language Models.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Pruning-aware Sparse Regularization for Network Pruning.
Int. J. Autom. Comput., 2023

Fast Segment Anything.
CoRR, 2023

FreConv: Frequency Branch-and-Integration Convolutional Networks.
CoRR, 2023

ZBS: Zero-shot Background Subtraction via Instance-level Background Modeling and Foreground Selection.
CoRR, 2023

FreConv: Frequency Branch-and-Integration Convolutional Networks.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

ZBS: Zero-Shot Background Subtraction via Instance-Level Background Modeling and Foreground Selection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
PruneFaceDet: Pruning lightweight face detection network by sparsity training.
Cogn. Comput. Syst., 2022

Transfering Low-Frequency Features for Domain Adaptation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

An Ensemble of One-Stage and Two-Stage Detectors Approach for Road Damage Detection.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Attention-Guided Knowledge Distillation for Efficient Single-Stage Detector.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

2020
Food det: Detecting foods in refrigerator with supervised transformer network.
Neurocomputing, 2020

A novel data augmentation scheme for pedestrian detection with attribute preserving GAN.
Neurocomputing, 2020

Task Decoupled Knowledge Distillation For Lightweight Face Detectors.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

PruneFaceDet: Pruning Lightweight Face Detection Network by Sparsity Training.
Proceedings of the ICCPR 2020: 9th International Conference on Computing and Pattern Recognition, Xiamen, China, October 30, 2020

2019
Attention CoupleNet: Fully Convolutional Attention Coupling Network for Object Detection.
IEEE Trans. Image Process., 2019

Real-Time Multi-Scale Face Detector on Embedded Devices.
Sensors, 2019

Elite Loss for scene text detection.
Neurocomputing, 2019

2018
Improved Single Shot Object Detector Using Enhanced Features and Predicting Heads.
Proceedings of the Fourth IEEE International Conference on Multimedia Big Data, 2018

2017
Joint background reconstruction and foreground segmentation via a two-stage convolutional neural network.
Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

CoupleNet: Coupling Global Structure with Local Parts for Object Detection.
Proceedings of the IEEE International Conference on Computer Vision, 2017


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