Zongyan Han

Orcid: 0000-0002-2011-5679

According to our database1, Zongyan Han authored at least 15 papers between 2019 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Audit After Segmentation: Reference-Free Mask Quality Assessment for Language-Referred Audio-Visual Segmentation.
CoRR, February, 2026

Bring Your Dreams to Life: Continual Text-to-Video Customization.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Thinking Beyond Labels: Vocabulary-Free Fine-Grained Recognition using Reasoning-Augmented LMMs.
CoRR, December, 2025

Composed Object Retrieval: Object-level Retrieval via Composed Expressions.
CoRR, August, 2025

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning.
CoRR, May, 2025

ZS-VAT: Learning Unbiased Attribute Knowledge for Zero-Shot Recognition Through Visual Attribute Transformer.
IEEE Trans. Neural Networks Learn. Syst., April, 2025

MIRA: A Novel Framework for Fusing Modalities in Medical RAG.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

All in One: Visual-Description-Guided Unified Point Cloud Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2022
Autoencoder-Based Latent Block-Diagonal Representation for Subspace Clustering.
IEEE Trans. Cybern., 2022

Semantic Contrastive Embedding for Generalized Zero-Shot Learning.
Int. J. Comput. Vis., 2022

Domain Disentangled Generative Adversarial Network for Zero-Shot Sketch-Based 3D Shape Retrieval.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Inference guided feature generation for generalized zero-shot learning.
Neurocomputing, 2021

Contrastive Embedding for Generalized Zero-Shot Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Learning the Redundancy-Free Features for Generalized Zero-Shot Object Recognition.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019


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