Gensheng Pei

Orcid: 0000-0002-7677-7487

According to our database¹, Gensheng Pei authored at least 39 papers between 2019 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Links

On csauthors.net:

Bibliography

2026

PEARL: Geometry Aligns Semantics for Training-Free Open-Vocabulary Semantic Segmentation.

[BibT_eX]

[DOI]

CoRR, March, 2026

Efficiency Follows Global-Local Decoupling.

[BibT_eX]

[DOI]

CoRR, March, 2026

PCA-Seg: Revisiting Cost Aggregation for Open-Vocabulary Semantic and Part Segmentation.

[BibT_eX]

[DOI]

CoRR, March, 2026

PKINet-v2: Towards Powerful and Efficient Poly-Kernel Remote Sensing Object Detection.

[BibT_eX]

[DOI]

CoRR, March, 2026

Iris: Bringing Real-World Priors into Diffusion Model for Monocular Depth Estimation.

[BibT_eX]

[DOI]

CoRR, March, 2026

Towards Remote Sensing Change Detection with Neural Memory.

[BibT_eX]

[DOI]

CoRR, February, 2026

Taming SAM3 in the Wild: A Concept Bank for Open-Vocabulary Segmentation.

[BibT_eX]

[DOI]

CoRR, February, 2026

DepMatch: Boosting Semi-Supervised Semantic Segmentation by Exploring Depth Difference Knowledge.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2026

CAFCL: Class-aware flow-based contrastive learning for out-of-distribution detection.

[BibT_eX]

[DOI]

Pattern Recognit., 2026

Beyond Quadratic: Linear-Time Change Detection with RWKV.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Beyond Frequency: Scoring-Driven Debiasing for Object Detection via Blueprint-Prompted Image Synthesis.

[BibT_eX]

[DOI]

CoRR, October, 2025

Semi-supervised Semantic Segmentation with Multi-Constraint Consistency Learning.

[BibT_eX]

[DOI]

CoRR, March, 2025

Semi-Supervised Semantic Segmentation With Multi-Constraint Consistency Learning.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2025

ChangeTitans: Toward Remote Sensing Change Detection With Neural Memory.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2025

PASS-SAM: Integration of Segment Anything Model for Large-Scale Unsupervised Semantic Segmentation.

[BibT_eX]

[DOI]

Comput. Vis. Media, 2025

Cycle-Consistent Learning for Joint Layout-to-Image Generation and Object Detection.

[BibT_eX]

[DOI]

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

Seeing What Matters: Empowering CLIP with Patch Generation-to-Selection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

EEG-Based Seizure Detection and Type Classification with Structured State Space Modeling and Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024

LTFormer: A light-weight transformer-based self-supervised matching network for heterogeneous remote sensing images.

[BibT_eX]

[DOI]

Inf. Fusion, 2024

Relating CNN-Transformer Fusion Network for Change Detection.

[BibT_eX]

[DOI]

CoRR, 2024

Universal Organizer of SAM for Unsupervised Semantic Segmentation.

[BibT_eX]

[DOI]

CoRR, 2024

A Light-weight Transformer-based Self-supervised Matching Network for Heterogeneous Images.

[BibT_eX]

[DOI]

CoRR, 2024

Dynamic in Static: Hybrid Visual Correspondence for Self-Supervised Video Object Segmentation.

[BibT_eX]

[DOI]

CoRR, 2024

Enhancing Robustness in Learning with Noisy Labels: An Asymmetric Co-Training Approach.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Universal Organizer of Segment Anything Model for Unsupervised Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Relating CNN-Transformer Fusion Network for Remote Sensing Change Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Knowledge Transfer with Simulated Inter-image Erasing for Weakly Supervised Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

VideoMAC: Video Masked Autoencoders Meet ConvNets.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Hierarchical Co-Attention Propagation Network for Zero-Shot Video Object Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2023

Hierarchical Graph Pattern Understanding for Zero-Shot Video Object Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2023

Hierarchical Graph Pattern Understanding for Zero-Shot VOS.

[BibT_eX]

[DOI]

CoRR, 2023

Co-attention Propagation Network for Zero-Shot Video Object Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Feature Hierarchical Differentiation for Remote Sensing Image Change Detection.

[BibT_eX]

[DOI]

Gensheng Pei

Lulu Zhang

IEEE Geosci. Remote. Sens. Lett., 2022

Feature Difference Enhancement Fusion for Remote Sensing Image Change Detection.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

A Novel Multi-Sample Data Augmentation Method for Oriented Object Detection in Remote Sensing Images.

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE International Workshop on Multimedia Signal Processing, 2022

Hierarchical Feature Alignment Network for Unsupervised Video Object Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Feature-label dual-mapping for missing label-specific features learning.

[BibT_eX]

[DOI]

Soft Comput., 2021

2019

Multi-label learning with kernel extreme learning machine autoencoder.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2019

Joint Label-Density-Margin Space and Extreme Elastic Net for Label-Specific Features.

[BibT_eX]

[DOI]

IEEE Access, 2019

Gensheng Pei

Timeline

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On csauthors.net:

Bibliography

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