Lerman, Gilad

25 publications

NeurIPS 2025 Cycle-Sync: Robust Global Camera Pose Estimation Through Enhanced Cycle-Consistent Synchronization Shaohan Li, Yunpeng Shi, Gilad Lerman

CVPR 2024 A Subspace-Constrained Tyler's Estimator and Its Applications to Structure from Motion Feng Yu, Teng Zhang, Gilad Lerman

CVPR 2024 Efficient Detection of Long Consistent Cycles and Its Application to Distributed Synchronization Shaohan Li, Yunpeng Shi, Gilad Lerman

ECCV 2024 Improving Hyperbolic Representations via Gromov-Wasserstein Regularization Yifei Yang, Wonjun Lee, Dongmian Zou, Gilad Lerman

NeurIPS 2024 Tensor-Based Synchronization and the Low-Rankness of the Block Trifocal Tensor Daniel Miao, Gilad Lerman, Joe Kileel

AISTATS 2024 The Effect of Leaky ReLUs on the Training and Generalization of Overparameterized Networks Yinglong Guo, Shaohan Li, Gilad Lerman

AISTATS 2023 An Unpooling Layer for Graph Generation Yinglong Guo, Dongmian Zou, Gilad Lerman

AISTATS 2023 Robust Variational Autoencoding with Wasserstein Penalty for Novelty Detection Chieh-Hsin Lai, Dongmian Zou, Gilad Lerman

CVPR 2022 Fast, Accurate and Memory-Efficient Partial Permutation Synchronization Shaohan Li, Yunpeng Shi, Gilad Lerman

ICML 2022 Robust Group Synchronization via Quadratic Programming Yunpeng Shi, Cole M Wyeth, Gilad Lerman

ICML 2020 Message Passing Least Squares Framework and Its Application to Rotation Synchronization Yunpeng Shi, Gilad Lerman

NeurIPS 2020 Robust Multi-Object Matching via Iterative Reweighting of the Graph Connection Laplacian Yunpeng Shi, Shaohan Li, Gilad Lerman

ICLR 2020 Robust Subspace Recovery Layer for Unsupervised Anomaly Detection Chieh-Hsin Lai, Dongmian Zou, Gilad Lerman

JMLR 2019 A Well-Tempered Landscape for Non-Convex Robust Subspace Recovery Tyler Maunu, Teng Zhang, Gilad Lerman

JMLR 2017 Spectral Clustering Based on Local PCA Ery Arias-Castro, Gilad Lerman, Teng Zhang

AISTATS 2015 Multi-Manifold Modeling in Non-Euclidean Spaces Xu Wang, Konstantinos Slavakis, Gilad Lerman

JMLR 2014 A Novel M-Estimator for Robust PCA Teng Zhang, Gilad Lerman

CVPR 2014 Better Feature Tracking Through Subspace Constraints Bryan Poling, Gilad Lerman, Arthur Szlam

AISTATS 2014 Robust Stochastic Principal Component Analysis John Goes, Teng Zhang, Raman Arora, Gilad Lerman

ICCV 2013 Fast Subspace Search via Grassmannian Based Hashing Xu Wang, Stefan Atev, John Wright, Gilad Lerman

NeurIPS 2012 On the Sample Complexity of Robust PCA Matthew Coudron, Gilad Lerman

CVPR 2010 Randomized Hybrid Linear Modeling by Local Best-Fit Flats Teng Zhang, Arthur Szlam, Yi Wang, Gilad Lerman

ICCVW 2009 Kernel Spectral Curvature Clustering (KSCC) Guangliang Chen, Stefan Atev, Gilad Lerman

ICCVW 2009 Median K-Flats for Hybrid Linear Modeling with Many Outliers Teng Zhang, Arthur Szlam, Gilad Lerman

ICCVW 2009 Motion Segmentation by SCC on the Hopkins 155 Database Guangliang Chen, Gilad Lerman