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Yue Song 0002
Person information
- affiliation: University of Trento, Trento, Italy
Other persons with the same name
- Yue Song — disambiguation page
- Yue Song 0001
— Tianjin University, Tianjin, China - Yue Song 0003
— University of Electronic Science and Technology of China, Chengdu, China - Yue Song 0004
— Beihang University, Beijing, China - Yue Song 0005
— Tongji University, Shanghai, China - Yue Song 0006
— Xinjiang University, Ürümqi, China - Yue Song 0007
— HBIS, Shijiazhuang, China - Yue Song 0008
— Shandong University of Science and Technology, Qingdao, China
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2020 – today
- 2025
[j7]Yue Song
, Wei Wang
, Nicu Sebe
:
RankFeat&RankWeight: Rank-1 Feature/Weight Removal for Out-of-Distribution Detection. IEEE Trans. Pattern Anal. Mach. Intell. 47(4): 2505-2519 (2025)
[c15]Zixiang Li
, Yue Song, Renshuai Tao, Xiaohong Jia, Yao Zhao, Wei Wang:
Unsupervised Region-Based Image Editing of Denoising Diffusion Models. AAAI 2025: 18638-18646
[c14]Ziheng Chen, Yue Song, Xiaojun Wu, Gaowen Liu, Nicu Sebe:
Understanding Matrix Function Normalizations in Covariance Pooling through the Lens of Riemannian Geometry. ICLR 2025
[c13]Ziheng Chen, Yue Song, Xiaojun Wu, Nicu Sebe:
Gyrogroup Batch Normalization. ICLR 2025- 2024
[j6]Ziheng Chen
, Yue Song
, Tianyang Xu
, Zhiwu Huang
, Xiaojun Wu
, Nicu Sebe
:
Adaptive Log-Euclidean Metrics for SPD Matrix Learning. IEEE Trans. Image Process. 33: 5194-5205 (2024)
[c12]Ziheng Chen, Yue Song, Gaowen Liu, Ramana Rao Kompella, Xiao-Jun Wu, Nicu Sebe
:
Riemannian Multinomial Logistics Regression for SPD Neural Networks. CVPR 2024: 17086-17096
[c11]Ziheng Chen, Yue Song, Yunmei Liu, Nicu Sebe:
A Lie Group Approach to Riemannian Batch Normalization. ICLR 2024
[c10]Ziheng Chen, Yue Song, Rui Wang, Xiaojun Wu, Nicu Sebe:
RMLR: Extending Multinomial Logistic Regression into General Geometries. NeurIPS 2024
[i21]Ziheng Chen, Yue Song, Yunmei Liu, Nicu Sebe:
A Lie Group Approach to Riemannian Batch Normalization. CoRR abs/2403.11261 (2024)
[i20]Ziheng Chen, Yue Song, Xiao-Jun Wu, Nicu Sebe:
Product Geometries on Cholesky Manifolds with Applications to SPD Manifolds. CoRR abs/2407.02607 (2024)
[i19]Ziheng Chen, Yue Song, Xiaojun Wu, Gaowen Liu, Nicu Sebe:
Understanding Matrix Function Normalizations in Covariance Pooling through the Lens of Riemannian Geometry. CoRR abs/2407.10484 (2024)
[i18]Ziheng Chen, Yue Song, Rui Wang, Xiaojun Wu, Nicu Sebe:
RMLR: Extending Multinomial Logistic Regression into General Geometries. CoRR abs/2409.19433 (2024)
[i17]Zixiang Li, Yue Song, Renshuai Tao, Xiaohong Jia, Yao Zhao, Wei Wang:
Unsupervised Region-Based Image Editing of Denoising Diffusion Models. CoRR abs/2412.12912 (2024)- 2023
[j5]Yue Song
, Nicu Sebe
, Wei Wang
:
On the Eigenvalues of Global Covariance Pooling for Fine-Grained Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3554-3566 (2023)
[j4]Yue Song
, Nicu Sebe
, Wei Wang
:
Fast Differentiable Matrix Square Root and Inverse Square Root. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7367-7380 (2023)
[j3]Yue Song
, Nicu Sebe
, Wei Wang
:
Orthogonal SVD Covariance Conditioning and Latent Disentanglement. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8773-8786 (2023)
[j2]Yue Song, Hao Tang, Nicu Sebe
, Wei Wang:
Disentangle Saliency Detection into Cascaded Detail Modeling and Body Filling. ACM Trans. Multim. Comput. Commun. Appl. 19(1): 7:1-7:15 (2023)
[c9]Bin Ren, Yahui Liu, Yue Song, Wei Bi, Rita Cucchiara, Nicu Sebe
, Wei Wang:
Masked Jigsaw Puzzle: A Versatile Position Embedding for Vision Transformers. CVPR 2023: 20382-20391
[c8]Yue Song, Jichao Zhang, Nicu Sebe
, Wei Wang:
Householder Projector for Unsupervised Latent Semantics Discovery. ICCV 2023: 7678-7688
[c7]Yue Song, T. Anderson Keller, Nicu Sebe, Max Welling:
Latent Traversals in Generative Models as Potential Flows. ICML 2023: 32288-32303
[c6]Yue Song, Andy Keller, Nicu Sebe, Max Welling:
Flow Factorized Representation Learning. NeurIPS 2023
[i16]Ziheng Chen, Tianyang Xu, Zhiwu Huang, Yue Song, Xiao-Jun Wu, Nicu Sebe:
Adaptive Riemannian Metrics on SPD Manifolds. CoRR abs/2303.15477 (2023)
[i15]Yue Song, Andy Keller, Nicu Sebe, Max Welling:
Latent Traversals in Generative Models as Potential Flows. CoRR abs/2304.12944 (2023)
[i14]Ziheng Chen, Yue Song, Gaowen Liu, Ramana Rao Kompella, Xiaojun Wu, Nicu Sebe:
Riemannian Multiclass Logistics Regression for SPD Neural Networks. CoRR abs/2305.11288 (2023)
[i13]Yue Song, Jichao Zhang, Nicu Sebe, Wei Wang:
Householder Projector for Unsupervised Latent Semantics Discovery. CoRR abs/2307.08012 (2023)
[i12]Yue Song, T. Anderson Keller, Nicu Sebe, Max Welling:
Flow Factorized Representation Learning. CoRR abs/2309.13167 (2023)
[i11]Yue Song, Nicu Sebe, Wei Wang:
RankFeat&RankWeight: Rank-1 Feature/Weight Removal for Out-of-distribution Detection. CoRR abs/2311.13959 (2023)- 2022
[j1]Yue Song
, Hao Tang
, Mengyi Zhao, Nicu Sebe
, Wei Wang
:
Quasi-Equilibrium Feature Pyramid Network for Salient Object Detection. IEEE Trans. Image Process. 31: 7144-7153 (2022)
[c5]Yue Song
, Nicu Sebe
, Wei Wang:
Improving Covariance Conditioning of the SVD Meta-layer by Orthogonality. ECCV (24) 2022: 356-372
[c4]Yue Song
, Nicu Sebe
, Wei Wang:
Batch-Efficient EigenDecomposition for Small and Medium Matrices. ECCV (23) 2022: 583-599
[c3]Yue Song, Nicu Sebe, Wei Wang:
Fast Differentiable Matrix Square Root. ICLR 2022
[c2]Yue Song, Nicu Sebe, Wei Wang:
RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection. NeurIPS 2022
[i10]Yue Song, Nicu Sebe, Wei Wang:
Fast Differentiable Matrix Square Root. CoRR abs/2201.08663 (2022)
[i9]Yue Song, Nicu Sebe, Wei Wang:
Fast Differentiable Matrix Square Root and Inverse Square Root. CoRR abs/2201.12543 (2022)
[i8]Yue Song, Hao Tang, Nicu Sebe, Wei Wang:
Disentangle Saliency Detection into Cascaded Detail Modeling and Body Filling. CoRR abs/2202.04112 (2022)
[i7]Yahui Liu, Bin Ren, Yue Song, Wei Bi, Nicu Sebe, Wei Wang:
Breaking the Chain of Gradient Leakage in Vision Transformers. CoRR abs/2205.12551 (2022)
[i6]Yue Song, Nicu Sebe, Wei Wang:
On the Eigenvalues of Global Covariance Pooling for Fine-grained Visual Recognition. CoRR abs/2205.13282 (2022)
[i5]Yue Song, Nicu Sebe, Wei Wang:
Improving Covariance Conditioning of the SVD Meta-layer by Orthogonality. CoRR abs/2207.02119 (2022)
[i4]Yue Song, Nicu Sebe, Wei Wang:
Batch-efficient EigenDecomposition for Small and Medium Matrices. CoRR abs/2207.04228 (2022)
[i3]Yue Song, Nicu Sebe, Wei Wang:
RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection. CoRR abs/2209.08590 (2022)
[i2]Yue Song, Nicu Sebe, Wei Wang:
Orthogonal SVD Covariance Conditioning and Latent Disentanglement. CoRR abs/2212.05599 (2022)- 2021
[c1]Yue Song, Nicu Sebe
, Wei Wang:
Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance Pooling? ICCV 2021: 1095-1103
[i1]Yue Song, Nicu Sebe, Wei Wang:
Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance Pooling? CoRR abs/2105.02498 (2021)
Coauthor Index

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last updated on 2025-11-23 19:50 CET by the dblp team
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