Freifeld, Oren

30 publications

ICML 2025 Clustering via Self-Supervised Diffusion Roy Uziel, Irit Chelly, Oren Freifeld, Ari Pakman

AISTATS 2025 Consistent Amortized Clustering via Generative Flow Networks Irit Chelly, Roy Uziel, Oren Freifeld, Ari Pakman

NeurIPS 2025 FastJAM: A Fast Joint Alignment Model for Images Omri Hirsch, Ron Shapira Weber, Shira Ifergane, Oren Freifeld

ICML 2025 Improving the Effective Receptive Field of Message-Passing Neural Networks Shahaf E. Finder, Ron Shapira Weber, Moshe Eliasof, Oren Freifeld, Eran Treister

ICCV 2025 Synchronization of Multiple Videos Avihai Naaman, Ron Shapira Weber, Oren Freifeld

ICML 2025 TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning Ron Shapira Weber, Shahar Benishay, Andrey Lavrinenko, Shahaf E. Finder, Oren Freifeld

ECCV 2024 SpaceJAM: A Lightweight and Regularization-Free Method for Fast Joint Alignment of Images Nir Barel, Ron A Shapira Weber, Nir Mualem, Shahaf E Finder, Oren Freifeld

ECCV 2024 Trainable Highly-Expressive Activation Functions Irit Chelly, Shahaf E. Finder, Shira Ifergane, Oren Freifeld

ECCV 2024 Wavelet Convolutions for Large Receptive Fields Shahaf E Finder, Roy Amoyal, Eran Treister, Oren Freifeld

NeurIPS 2023 From ViT Features to Training-Free Video Object Segmentation via Streaming-Data Mixture Models Roy Uziel, Or Dinari, Oren Freifeld

ICML 2023 Regularization-Free Diffeomorphic Temporal Alignment Nets Ron Shapira Weber, Oren Freifeld

AISTATS 2022 Common Failure Modes of Subcluster-Based Sampling in Dirichlet Process Gaussian Mixture Models - And a Deep-Learning Solution Vlad Winter, Or Dinari, Oren Freifeld

AISTATS 2022 Sampling in Dirichlet Process Mixture Models for Clustering Streaming Data Or Dinari, Oren Freifeld

ECCV 2022 A Deep Moving-Camera Background Model Guy Erez, Ron Shapira Weber, Oren Freifeld

CVPR 2022 DeepDPM: Deep Clustering with an Unknown Number of Clusters Meitar Ronen, Shahaf E. Finder, Oren Freifeld

UAI 2022 Revisiting DP-Means: Fast Scalable Algorithms via Parallelism and Delayed Cluster Creation Or Dinari, Oren Freifeld

UAI 2022 Variational- and Metric-Based Deep Latent Space for Out-of-Distribution Detection Or Dinari, Oren Freifeld

UAI 2020 Scalable and Flexible Clustering of Grouped Data via Parallel and Distributed Sampling in Versatile Hierarchical Dirichlet Processes Or Dinari, Oren Freifeld

NeurIPS 2019 Diffeomorphic Temporal Alignment Nets Ron A Shapira Weber, Matan Eyal, Nicki Skafte, Oren Shriki, Oren Freifeld

AISTATS 2016 Dreaming More Data: Class-Dependent Distributions over Diffeomorphisms for Learned Data Augmentation Søren Hauberg, Oren Freifeld, Anders Boesen Lindbo Larsen, John W. Fisher Iii, Lars Kai Hansen

AISTATS 2015 A Dirichlet Process Mixture Model for Spherical Data Julian Straub, Jason Chang, Oren Freifeld, John W. Fisher Iii

ICCV 2015 Highly-Expressive Spaces of Well-Behaved Transformations: Keeping It Simple Oren Freifeld, Soren Hauberg, Kayhan Batmanghelich, John W. Fisher Iii

CVPR 2014 A Mixture of Manhattan Frames: Beyond the Manhattan World Julian Straub, Guy Rosman, Oren Freifeld, John J. Leonard, John W. Fisher Iii

CVPR 2014 Aerial Reconstructions via Probabilistic Data Fusion Randi Cabezas, Oren Freifeld, Guy Rosman, John W. Fisher Iii

CVPR 2014 Model Transport: Towards Scalable Transfer Learning on Manifolds Oren Freifeld, Soren Hauberg, Michael J. Black

NeurIPS 2012 A Geometric Take on Metric Learning Søren Hauberg, Oren Freifeld, Michael J. Black

CVPR 2012 From Pictorial Structures to Deformable Structures Silvia Zuffi, Oren Freifeld, Michael J. Black

ECCV 2012 Lie Bodies: A Manifold Representation of 3D Human Shape Oren Freifeld, Michael J. Black

ECCV 2010 A 2D Human Body Model Dressed in Eigen Clothing Peng Guan, Oren Freifeld, Michael J. Black

CVPR 2010 Contour People: A Parameterized Model of 2D Articulated Human Shape Oren Freifeld, Alexander Weiss, Silvia Zuffi, Michael J. Black