RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection Y Song, N Sebe, W Wang Advances in Neural Information Processing Systems (NeurIPS), 2022 | 32 | 2022 |
On the Eigenvalues of Global Covariance Pooling for Fine-grained Visual Recognition Y Song, N Sebe, W Wang IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2022 | 23 | 2022 |
Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance Pooling? Y Song, N Sebe, W Wang International Conference on Computer Vision (ICCV), 2021 | 22 | 2021 |
Fast Differentiable Matrix Square Root Y Song, N Sebe, W Wang International Conference on Learning Representations (ICLR), 2022 | 17 | 2022 |
Ag-gan: An attentive group-aware gan for pedestrian trajectory prediction Y Song, N Bisagno, SZ Hassan, N Conci 2020 25th International Conference on Pattern Recognition (ICPR), 8703-8710, 2021 | 10 | 2021 |
Fast Differentiable Matrix Square Root and Inverse Square Root Y Song, N Sebe, W Wang IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2022 | 8 | 2022 |
Masked Jigsaw Puzzle: A Versatile Position Embedding for Vision Transformers B Ren*, Y Liu*, Y Song, W Bi, R Cucchiara, N Sebe, W Wang International Conference on Computer Vision and Pattern Recognition (CVPR), 2023 | 7 | 2023 |
Orthogonal SVD Covariance Conditioning and Latent Disentanglement Y Song, N Sebe, W Wang IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2022 | 7 | 2022 |
Householder Projector for Unsupervised Latent Semantics Discovery Y Song, J Zhang, N Sebe, W Wang International Conference on Computer Vision (ICCV), 2023 | 6 | 2023 |
Latent Traversals in Generative Models as Potential Flows Y Song, TA Keller, N Sebe, M Welling International Conference on Machine Learning (ICML), 2023 | 6 | 2023 |
Improving Covariance Conditioning of the SVD Meta-layer by Orthogonality Y Song, N Sebe, W Wang European Conference on Computer Vision (ECCV), 2022 | 6 | 2022 |
Asvd: Activation-aware singular value decomposition for compressing large language models Z Yuan, Y Shang, Y Song, Q Wu, Y Yan, G Sun arXiv preprint arXiv:2312.05821, 2023 | 5 | 2023 |
Disentangle Saliency Detection into Cascaded Detail Modeling and Body Filling Y Song, H Tang, N Sebe, W Wang ACM TOMM, 2022 | 5 | 2022 |
Quasi-Equilibrium Feature Pyramid Network for Salient Object Detection Y Song, H Tang, M Zhao, N Sebe, W Wang IEEE Transactions on Image Processing (TIP) 31, 7144-7153, 2022 | 3 | 2022 |
Adaptive Riemannian Metrics on SPD Manifolds Z Chen, Y Song, T Xu, Z Huang, XJ Wu, N Sebe arXiv preprint arXiv:2303.15477, 2023 | 2 | 2023 |
Breaking the Chain of Gradient Leakage in Vision Transformers Y Liu, B Ren, Y Song, W Bi, N Sebe, W Wang arXiv preprint arXiv:2205.12551, 2022 | 2 | 2022 |
Filter optimization and artifacts estimation for orthogonal frequency division multiplexing with multi line transmission in ultrasound imaging Y Song, A Ramalli, E Boni, L Demi Proceedings of Meetings on Acoustics 39 (1), 2019 | 2 | 2019 |
Riemannian Multiclass Logistics Regression for SPD Neural Networks Z Chen, Y Song, G Liu, RR Kompella, X Wu, N Sebe International Conference on Computer Vision and Pattern Recognition (CVPR), 2024 | 1 | 2024 |
Flow Factorized Representation Learning Y Song, TA Keller, N Sebe, M Welling Advances in Neural Information Processing Systems (NeurIPS), 2023 | 1 | 2023 |
Batch-efficient EigenDecomposition for Small and Medium Matrices Y Song, N Sebe, W Wang European Conference on Computer Vision (ECCV), 2022 | 1 | 2022 |