Guoqiang Liang

Orcid: 0000-0002-8710-5520

Affiliations:

Northwestern Polytechnical University, National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science, China
Xi'an Jiaotong University, nstitute of Artificial Intelligence and Robotics, China (PhD 2018)
University of South Carolina, Columbia, SC, USA (2017)

According to our database¹, Guoqiang Liang authored at least 37 papers between 2016 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Nearest-neighbor class prototype prompt and simulated logits for continual learning.

[BibT_eX]

[DOI]

Pattern Recognit., 2026

Attention Retention for Continual Learning with Vision Transformers.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

CoLeCLIP: Open-Domain Continual Learning via Joint Task Prompt and Vocabulary Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., August, 2025

Multi-level Collaborative Distillation Meets Global Workspace Model: A Unified Framework for OCIL.

[BibT_eX]

[DOI]

CoRR, August, 2025

Pseudo Labeling Methods for Semi-Supervised Semantic Segmentation: A Review and Future Perspectives.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., April, 2025

Frequency-Guided Spatial Adaptation for Camouflaged Object Detection.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2025

Prompt-Based Modality Alignment for Effective Multi-Modal Object Re-Identification.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2025

A masking, linkage and guidance framework for online class incremental learning.

[BibT_eX]

[DOI]

Pattern Recognit., 2025

Boosting Multi-Modal Alignment: Geometric Feature Separation for Class Incremental Learning.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Gradient Decomposition and Alignment for Incremental Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Training Consistent Mixture-of-Experts-Based Prompt Generator for Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

MS-DETR: Multispectral Pedestrian Detection Transformer With Loosely Coupled Fusion and Modality-Balanced Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., December, 2024

Non-Exemplar Class-Incremental Learning by Random Auxiliary Classes Augmentation and Mixed Features.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., September, 2024

New Insights on Relieving Task-Recency Bias for Online Class Incremental Learning.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., May, 2024

Dual Modality Prompt Tuning for Vision-Language Pre-Trained Model.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2024

Semi-Supervised Semantic Segmentation Based on Pseudo-Labels: A Survey.

[BibT_eX]

[DOI]

CoRR, 2024

DMAT: A Dynamic Mask-Aware Transformer for Human De-occlusion.

[BibT_eX]

[DOI]

CoRR, 2024

Dual Supervised Contrastive Learning Based on Perturbation Uncertainty for Online Class Incremental Learning.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 27th International Conference, 2024

2023

Non-exemplar Class-incremental Learning by Random Auxiliary Classes Augmentation and Mixed Features.

[BibT_eX]

[DOI]

CoRR, 2023

Multispectral Pedestrian Detection via Reference Box Constrained Cross Attention and Modality Balanced Optimization.

[BibT_eX]

[DOI]

CoRR, 2023

Ground-to-Aerial Person Search: Benchmark Dataset and Approach.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Text-based Person Search in Full Images via Semantic-Driven Proposal Generation.

[BibT_eX]

[DOI]

Proceedings of the 4th International Workshop on Human-centric Multimedia Analysis, 2023

Learning Conditional Attributes for Compositional Zero-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Video summarization with a convolutional attentive adversarial network.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

Video summarization with a dual-path attentive network.

[BibT_eX]

[DOI]

Neurocomputing, 2022

Class-Aware Visual Prompt Tuning for Vision-Language Pre-Trained Model.

[BibT_eX]

[DOI]

CoRR, 2022

2021

Attend to the Difference: Cross-Modality Person Re-Identification via Contrastive Correlation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2021

An adversarial human pose estimation network injected with graph structure.

[BibT_eX]

[DOI]

Pattern Recognit., 2021

Unsupervised Video Summarization with a Convolutional Attentive Adversarial Network.

[BibT_eX]

[DOI]

CoRR, 2021

Local-enhanced Interaction for Temporal Moment Localization.

[BibT_eX]

[DOI]

Guoqiang Liang

Shiyu Ji

Yanning Zhang

Proceedings of the ICMR '21: International Conference on Multimedia Retrieval, 2021

2020

An Adaptive Viewpoint Transformation Network for 3D Human Pose Estimation.

[BibT_eX]

[DOI]

IEEE Access, 2020

2019

Cross-View Person Identification Based on Confidence-Weighted Human Pose Matching.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2019

2018

A Limb-Based Graphical Model for Human Pose Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2018

Cross-View Person Identification by Matching Human Poses Estimated With Confidence on Each Body Joint.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Pose-and-illumination-invariant face representation via a triplet-loss trained deep reconstruction model.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2017

Intention-Based Human Robot Collaboration.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Robotics and Applications - 10th International Conference, 2017

2016

Human pose estimation based on human limbs.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Guoqiang Liang

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Bibliography

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