Kai Zhu

Orcid: 0000-0001-5412-5392

Affiliations:

University of Science and Technology of China, Hefei, China

According to our database¹, Kai Zhu authored at least 22 papers between 2019 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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PhD thesis

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Bibliography

2024

Background Activation Suppression for Weakly Supervised Object Localization and Semantic Segmentation.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2024

Intention-driven Ego-to-Exo Video Generation.

[BibT_eX]

[DOI]

CoRR, 2024

Hypercorrelation Evolution for Video Class-Incremental Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

CCM: Adding Conditional Controls to Text-to-Image Consistency Models.

[BibT_eX]

[DOI]

CoRR, 2023

Likelihood-Aware Semantic Alignment for Full-Spectrum Out-of-Distribution Detection.

[BibT_eX]

[DOI]

CoRR, 2023

Eliminating Lipschitz Singularities in Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2023

Cones 2: Customizable Image Synthesis with Multiple Subjects.

[BibT_eX]

[DOI]

CoRR, 2023

Customizable Image Synthesis with Multiple Subjects.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Cones: Concept Neurons in Diffusion Models for Customized Generation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Regularized Mask Tuning: Uncovering Hidden Knowledge in Pre-trained Vision-Language Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Self-Organizing Pathway Expansion for Non-Exemplar Class-Incremental Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Uncertainty-Aware Optimal Transport for Semantically Coherent Out-of-Distribution Detection.

[BibT_eX]

[DOI]

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

Neural Dependencies Emerging from Learning Massive Categories.

[BibT_eX]

[DOI]

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

2022

FAMLP: A Frequency-Aware MLP-Like Architecture For Domain Generalization.

[BibT_eX]

[DOI]

CoRR, 2022

Uncertainty-Aware Hierarchical Refinement for Incremental Implicitly-Refined Classification.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

AS-Net: Class-Aware Assistance and Suppression Network for Few-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the MultiMedia Modeling - 28th International Conference, 2022

Self-Sustaining Representation Expansion for Non-Exemplar Class-Incremental Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

One-Shot Texture Retrieval Using Global Grouping Metric.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2021

Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Self-Supervised Tuning for Few-Shot Segmentation.

[BibT_eX]

[DOI]

CoRR, 2020

Self-Supervised Tuning for Few-Shot Segmentation.

[BibT_eX]

[DOI]

Kai Zhu

Wei Zhai

Yang Cao

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

One-Shot Texture Retrieval with Global Context Metric.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Kai Zhu

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