Haiyun Guo

Orcid: 0000-0001-9241-6211

According to our database1, Haiyun Guo authored at least 33 papers between 2015 and 2023.

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

Timeline

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On csauthors.net:

Bibliography

2023
Learning Semantics-Consistent Stripes With Self-Refinement for Person Re-Identification.
IEEE Trans. Neural Networks Learn. Syst., November, 2023

Effectiveness of information and communication technology(ICT) for addictive behaviors: An umbrella review of systematic reviews and meta-analysis of randomized controlled trials.
Comput. Hum. Behav., October, 2023

Bi-Level Implicit Semantic Data Augmentation for Vehicle Re-Identification.
IEEE Trans. Intell. Transp. Syst., April, 2023

Pseudo Label Rectification With Joint Camera Shift Adaptation and Outlier Progressive Recycling for Unsupervised Person Re-Identification.
IEEE Trans. Intell. Transp. Syst., March, 2023

Continual Instruction Tuning for Large Multimodal Models.
CoRR, 2023

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

Instance-Proxy Loss for Semi-supervised Learning with Coarse Labels.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

2022
Hybrid Modality Metric Learning for Visible-Infrared Person Re-Identification.
ACM Trans. Multim. Comput. Commun. Appl., 2022

Multi-Granularity Mutual Learning Network for Object Re-Identification.
IEEE Trans. Intell. Transp. Syst., 2022

Plug-and-Play Pseudo Label Correction Network for Unsupervised Person Re-identification.
CoRR, 2022

Part-Aware Self-Supervised Pre-Training for Person Re-Identification.
CoRR, 2022

Graph Neural Networks Based Multi-granularity Feature Representation Learning for Fine-Grained Visual Categorization.
Proceedings of the MultiMedia Modeling - 28th International Conference, 2022

PASS: Part-Aware Self-Supervised Pre-Training for Person Re-Identification.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Unsupervised cycle-consistent person pose transfer.
Neurocomputing, 2021

AAformer: Auto-Aligned Transformer for Person Re-Identification.
CoRR, 2021

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

Unsupervised Domain Adaptive Re-Identification with Feature Adversarial Learning and Self-similarity Clustering.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Identity-Guided Human Semantic Parsing for Person Re-identification.
Proceedings of the Computer Vision - ECCV 2020, 2020

Adaptive Variance Based Label Distribution Learning for Facial Age Estimation.
Proceedings of the Computer Vision - ECCV 2020, 2020

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

Two-Level Attention Network With Multi-Grain Ranking Loss for Vehicle Re-Identification.
IEEE Trans. Image Process., 2019

Elite Loss for scene text detection.
Neurocomputing, 2019

Vehicle Re-Identification with Refined Part Model.
Proceedings of the IEEE International Conference on Multimedia & Expo Workshops, 2019

Cascade Attention Network for Person Re-Identification.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Semantic Alignment: Finding Semantically Consistent Ground-Truth for Facial Landmark Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Learning Coarse-to-Fine Structured Feature Embedding for Vehicle Re-Identification.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Deep embedding network for robust age estimation.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016
Multi-View 3D Object Retrieval With Deep Embedding Network.
IEEE Trans. Image Process., 2016

Multiple deep features learning for object retrieval in surveillance videos.
IET Comput. Vis., 2016

Scale-Adaptive Deconvolutional Regression Network for Pedestrian Detection.
Proceedings of the Computer Vision - ACCV 2016, 2016

2015
Learning Multi-view Deep Features for Small Object Retrieval in Surveillance Scenarios.
Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

Learning deep compact descriptor with bagging auto-encoders for object retrieval.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015



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