Yue Song - RankMe

54 papers A* 13Journal 39Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Unified Masked Jigsaw Puzzle Framework for Vision and Language Models. CoRR Weixin Ye, Wei Wang, Yahui Liu, Yue Song, Bin Ren, Wei Bi, Rita Cucchiara, Nicu Sebe
2026	J	`jnl`	A Unified Masked Jigsaw Puzzle Framework for Vision and Language Models. IEEE Trans. Pattern Anal. Mach. Intell. Weixin Ye, Wei Wang, Yahui Liu, Yue Song, Bin Ren, Wei Bi, Rita Cucchiara, Nicu Sebe
2026	J	`jnl`	Krause Synchronization Transformers. CoRR Jingkun Liu, Yisong Yue, Max Welling, Yue Song
2026	J	`jnl`	Unsupervised Representation Learning From Sparse Transformation Analysis. IEEE Trans. Pattern Anal. Mach. Intell. Yue Song, T. Anderson Keller, Yisong Yue, Pietro Perona, Max Welling
2026	J	`jnl`	Why retrieve when you can edit: A fast conditional StyleGAN latent editing method. Pattern Recognit. Lett. Andrei Radu, Yue Song, Ana Neacsu, Nicu Sebe
2025	A*	`conf`	Gyrogroup Batch Normalization. ICLR Ziheng Chen, Yue Song, Xiaojun Wu, Nicu Sebe
2025	J	`jnl`	Is CLIP ideal? No. Can we fix it? Yes! CoRR Raphi Kang, Yue Song, Georgia Gkioxari, Pietro Perona
2025	J	`jnl`	Kuramoto Orientation Diffusion Models. CoRR Yue Song, T. Anderson Keller, Sevan Brodjian, Takeru Miyato, Yisong Yue, Pietro Perona, Max Welling
2025	J	`jnl`	Langevin Flows for Modeling Neural Latent Dynamics. CoRR Yue Song, T. Anderson Keller, Yisong Yue, Pietro Perona, Max Welling
2025	J	`jnl`	On Exact Editing of Flow-Based Diffusion Models. CoRR Zixiang Li, Yue Song, Jianing Peng, Ting Liu, Jun Huang, Xiaochao Qu, Luoqi Liu, Wei Wang, Yao Zhao, Yunchao Wei
2025	J	`jnl`	RankFeat&RankWeight: Rank-1 Feature/Weight Removal for Out-of-Distribution Detection. IEEE Trans. Pattern Anal. Mach. Intell. Yue Song, Wei Wang, Nicu Sebe
2025	J	`jnl`	The 1st International Workshop on Disentangled Representation Learning for Controllable Generation (DRL4Real): Methods and Results. CoRR Qiuyu Chen, Xin Jin, Yue Song, Xihui Liu, Shuai Yang, Tao Yang, Ziqiang Li, Jianguo Huang, Yuntao Wei, Baao Xie, Nicu Sebe, Wenjun Zeng, Jooyeol Yun, Davide Abati, Mohamed Omran, Jaegul Choo, Amir Habibian, Auke J. Wiggers, Masato Kobayashi, Ning Ding, Toru Tamaki, Marzieh Gheisari, Auguste Genovesio, Yuheng Chen, Dingkun Liu, Xinyao Yang, Xinping Xu, Baicheng Chen, Dongrui Wu, Junhao Geng, Lexiang Lv, Jianxin Lin, Hanzhe Liang, Jie Zhou, Xuanxin Chen, Jinbao Wang, Can Gao, Zhangyi Wang, Zongze Li, Bihan Wen, Yixin Gao, Xiaohan Pan, Xin Li, Zhibo Chen, Baorui Peng, Zhongming Chen, Haoran Jin
2025	A*	`conf`	Understanding Matrix Function Normalizations in Covariance Pooling through the Lens of Riemannian Geometry. ICLR Ziheng Chen, Yue Song, Xiaojun Wu, Gaowen Liu, Nicu Sebe
2025	A*	`conf`	Unsupervised Region-Based Image Editing of Denoising Diffusion Models. AAAI Zixiang Li, Yue Song, Renshuai Tao, Xiaohong Jia, Yao Zhao, Wei Wang
2024	A*	`conf`	A Lie Group Approach to Riemannian Batch Normalization. ICLR Ziheng Chen, Yue Song, Yunmei Liu, Nicu Sebe
2024	J	`jnl`	A Lie Group Approach to Riemannian Batch Normalization. CoRR Ziheng Chen, Yue Song, Yunmei Liu, Nicu Sebe
2024	J	`jnl`	Adaptive Log-Euclidean Metrics for SPD Matrix Learning. IEEE Trans. Image Process. Ziheng Chen, Yue Song, Tianyang Xu, Zhiwu Huang, Xiaojun Wu, Nicu Sebe
2024	J	`jnl`	Product Geometries on Cholesky Manifolds with Applications to SPD Manifolds. CoRR Ziheng Chen, Yue Song, Xiao-Jun Wu, Nicu Sebe
2024	A*	`conf`	RMLR: Extending Multinomial Logistic Regression into General Geometries. NeurIPS Ziheng Chen, Yue Song, Rui Wang, Xiaojun Wu, Nicu Sebe
2024	J	`jnl`	RMLR: Extending Multinomial Logistic Regression into General Geometries. CoRR Ziheng Chen, Yue Song, Rui Wang, Xiaojun Wu, Nicu Sebe
2024	A*	`conf`	Riemannian Multinomial Logistics Regression for SPD Neural Networks. CVPR Ziheng Chen, Yue Song, Gaowen Liu, Ramana Rao Kompella, Xiao-Jun Wu, Nicu Sebe
2024	J	`jnl`	Understanding Matrix Function Normalizations in Covariance Pooling through the Lens of Riemannian Geometry. CoRR Ziheng Chen, Yue Song, Xiaojun Wu, Gaowen Liu, Nicu Sebe
2024	J	`jnl`	Unsupervised Region-Based Image Editing of Denoising Diffusion Models. CoRR Zixiang Li, Yue Song, Renshuai Tao, Xiaohong Jia, Yao Zhao, Wei Wang
2024	J	`jnl`	Unsupervised Representation Learning from Sparse Transformation Analysis. CoRR Yue Song, T. Anderson Keller, Yisong Yue, Pietro Perona, Max Welling
2023	J	`jnl`	Adaptive Riemannian Metrics on SPD Manifolds. CoRR Ziheng Chen, Tianyang Xu, Zhiwu Huang, Yue Song, Xiao-Jun Wu, Nicu Sebe
2023	J	`jnl`	Disentangle Saliency Detection into Cascaded Detail Modeling and Body Filling. ACM Trans. Multim. Comput. Commun. Appl. Yue Song, Hao Tang, Nicu Sebe, Wei Wang
2023	J	`jnl`	Fast Differentiable Matrix Square Root and Inverse Square Root. IEEE Trans. Pattern Anal. Mach. Intell. Yue Song, Nicu Sebe, Wei Wang
2023	A*	`conf`	Flow Factorized Representation Learning. NeurIPS Yue Song, Andy Keller, Nicu Sebe, Max Welling
2023	J	`jnl`	Flow Factorized Representation Learning. CoRR Yue Song, T. Anderson Keller, Nicu Sebe, Max Welling
2023	A*	`conf`	Householder Projector for Unsupervised Latent Semantics Discovery. ICCV Yue Song, Jichao Zhang, Nicu Sebe, Wei Wang
2023	J	`jnl`	Householder Projector for Unsupervised Latent Semantics Discovery. CoRR Yue Song, Jichao Zhang, Nicu Sebe, Wei Wang
2023	A*	`conf`	Latent Traversals in Generative Models as Potential Flows. ICML Yue Song, T. Anderson Keller, Nicu Sebe, Max Welling
2023	J	`jnl`	Latent Traversals in Generative Models as Potential Flows. CoRR Yue Song, Andy Keller, Nicu Sebe, Max Welling
2023	A*	`conf`	Masked Jigsaw Puzzle: A Versatile Position Embedding for Vision Transformers. CVPR Bin Ren, Yahui Liu, Yue Song, Wei Bi, Rita Cucchiara, Nicu Sebe, Wei Wang
2023	J	`jnl`	On the Eigenvalues of Global Covariance Pooling for Fine-Grained Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. Yue Song, Nicu Sebe, Wei Wang
2023	J	`jnl`	Orthogonal SVD Covariance Conditioning and Latent Disentanglement. IEEE Trans. Pattern Anal. Mach. Intell. Yue Song, Nicu Sebe, Wei Wang
2023	J	`jnl`	RankFeat&RankWeight: Rank-1 Feature/Weight Removal for Out-of-distribution Detection. CoRR Yue Song, Nicu Sebe, Wei Wang
2023	J	`jnl`	Riemannian Multiclass Logistics Regression for SPD Neural Networks. CoRR Ziheng Chen, Yue Song, Gaowen Liu, Ramana Rao Kompella, Xiaojun Wu, Nicu Sebe
2022	—	`conf`	Batch-Efficient EigenDecomposition for Small and Medium Matrices. ECCV (23) Yue Song, Nicu Sebe, Wei Wang
2022	J	`jnl`	Batch-efficient EigenDecomposition for Small and Medium Matrices. CoRR Yue Song, Nicu Sebe, Wei Wang
2022	J	`jnl`	Breaking the Chain of Gradient Leakage in Vision Transformers. CoRR Yahui Liu, Bin Ren, Yue Song, Wei Bi, Nicu Sebe, Wei Wang
2022	J	`jnl`	Disentangle Saliency Detection into Cascaded Detail Modeling and Body Filling. CoRR Yue Song, Hao Tang, Nicu Sebe, Wei Wang
2022	J	`jnl`	Fast Differentiable Matrix Square Root and Inverse Square Root. CoRR Yue Song, Nicu Sebe, Wei Wang
2022	A*	`conf`	Fast Differentiable Matrix Square Root. ICLR Yue Song, Nicu Sebe, Wei Wang
2022	J	`jnl`	Fast Differentiable Matrix Square Root. CoRR Yue Song, Nicu Sebe, Wei Wang
2022	—	`conf`	Improving Covariance Conditioning of the SVD Meta-layer by Orthogonality. ECCV (24) Yue Song, Nicu Sebe, Wei Wang
2022	J	`jnl`	Improving Covariance Conditioning of the SVD Meta-layer by Orthogonality. CoRR Yue Song, Nicu Sebe, Wei Wang
2022	J	`jnl`	On the Eigenvalues of Global Covariance Pooling for Fine-grained Visual Recognition. CoRR Yue Song, Nicu Sebe, Wei Wang
2022	J	`jnl`	Orthogonal SVD Covariance Conditioning and Latent Disentanglement. CoRR Yue Song, Nicu Sebe, Wei Wang
2022	J	`jnl`	Quasi-Equilibrium Feature Pyramid Network for Salient Object Detection. IEEE Trans. Image Process. Yue Song, Hao Tang, Mengyi Zhao, Nicu Sebe, Wei Wang
2022	A*	`conf`	RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection. NeurIPS Yue Song, Nicu Sebe, Wei Wang
2022	J	`jnl`	RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection. CoRR Yue Song, Nicu Sebe, Wei Wang
2021	A*	`conf`	Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance Pooling? ICCV Yue Song, Nicu Sebe, Wei Wang
2021	J	`jnl`	Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance Pooling? CoRR Yue Song, Nicu Sebe, Wei Wang