Yue Song

IEEE Trans. Pattern Anal. Mach. Intell., April, 2025

Gyrogroup Batch Normalization.

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[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Understanding Matrix Function Normalizations in Covariance Pooling through the Lens of Riemannian Geometry.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Is CLIP Ideal? No. Can We Fix It? Yes!

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[DOI]

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

Unsupervised Region-Based Image Editing of Denoising Diffusion Models.

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[DOI]

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

2024

Adaptive Log-Euclidean Metrics for SPD Matrix Learning.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2024

Product Geometries on Cholesky Manifolds with Applications to SPD Manifolds.

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[DOI]

CoRR, 2024

RMLR: Extending Multinomial Logistic Regression into General Geometries.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

A Lie Group Approach to Riemannian Batch Normalization.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Riemannian Multinomial Logistics Regression for SPD Neural Networks.

[BibT_eX]

[DOI]

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

2023

Orthogonal SVD Covariance Conditioning and Latent Disentanglement.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Fast Differentiable Matrix Square Root and Inverse Square Root.

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[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

On the Eigenvalues of Global Covariance Pooling for Fine-Grained Visual Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Disentangle Saliency Detection into Cascaded Detail Modeling and Body Filling.

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[DOI]

ACM Trans. Multim. Comput. Commun. Appl., January, 2023

Flow Factorized Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Riemannian Multiclass Logistics Regression for SPD Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Latent Traversals in Generative Models as Potential Flows.

[BibT_eX]

[DOI]

CoRR, 2023

Adaptive Riemannian Metrics on SPD Manifolds.

[BibT_eX]

[DOI]

CoRR, 2023

Flow Factorized Representation Learning.

[BibT_eX]

[DOI]

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

Latent Traversals in Generative Models as Potential Flows.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Householder Projector for Unsupervised Latent Semantics Discovery.

[BibT_eX]

[DOI]

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

Masked Jigsaw Puzzle: A Versatile Position Embedding for Vision Transformers.

[BibT_eX]

[DOI]

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

2022

Quasi-Equilibrium Feature Pyramid Network for Salient Object Detection.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2022

Breaking the Chain of Gradient Leakage in Vision Transformers.

[BibT_eX]

[DOI]

CoRR, 2022

RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection.

[BibT_eX]

[DOI]

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

Fast Differentiable Matrix Square Root.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Improving Covariance Conditioning of the SVD Meta-layer by Orthogonality.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision, 2022

Batch-Efficient EigenDecomposition for Small and Medium Matrices.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance Pooling?

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[DOI]