Lesion Detection in Noisy Mr Brain Images Using Constrained Gmm and Active Contours. - Oren Freifeld; Hayit Greenspan; Jacob Goldberger (ISBI, 2007)

Multiple Sclerosis Lesion Detection Using Constrained GMM and Curve Evolution. - Oren Freifeld; Hayit Greenspan; Jacob Goldberger (Int. J. Biomed. Imaging, 2009)

Contour people: A parameterized model of 2D articulated human shape. - Oren Freifeld; Alexander Weiss; Silvia Zuffi; Michael J. Black (CVPR, 2010)

A 2D Human Body Model Dressed in Eigen Clothing. - Peng Guan; Oren Freifeld; Michael J. Black (ECCV (1), 2010)

From Pictorial Structures to deformable structures. - Silvia Zuffi; Oren Freifeld; Michael J. Black (CVPR, 2012)

Lie Bodies: A Manifold Representation of 3D Human Shape. - Oren Freifeld; Michael J. Black (ECCV (1), 2012)

A framework for relating neural activity to freely moving behavior. - Justin D. Foster; Paul Nuyujukian; Oren Freifeld; Stephen I. Ryu; Michael J. Black; Krishna V. Shenoy (EMBC, 2012)

A Geometric take on Metric Learning. - Søren Hauberg; Oren Freifeld; Michael J. Black (NIPS, 2012)

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; Søren Hauberg; Michael J. Black (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)

A Dirichlet Process Mixture Model for Spherical Data. - Julian Straub; Jason Chang 001; Oren Freifeld; John W. Fisher III (AISTATS, 2015)

Highly-Expressive Spaces of Well-Behaved Transformations: Keeping it Simple. - Oren Freifeld; Søren Hauberg; Kayhan N. Batmanghelich; John W. Fisher III (ICCV, 2015)

A fast method for inferring high-quality simply-connected superpixels. - Oren Freifeld; Yixin Li; John W. Fisher III (ICIP, 2015)

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, 2016)

Transformations Based on Continuous Piecewise-Affine Velocity Fields. - Oren Freifeld; Søren Hauberg; Kayhan Batmanghelich; John W. Fisher III (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Deep Diffeomorphic Transformer Networks. - Nicki Skafte Detlefsen; Oren Freifeld; Søren Hauberg (CVPR, 2018)

The Manhattan Frame Model - Manhattan World Inference in the Space of Surface Normals. - Julian Straub; Oren Freifeld; Guy Rosman; John J. Leonard; John W. Fisher III (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Distributed MCMC Inference in Dirichlet Process Mixture Models Using Julia. - Or Dinari; Angel Yu; Oren Freifeld; John W. Fisher III (CCGRID, 2019)

Bayesian Adaptive Superpixel Segmentation. - Roy Uziel; Meitar Ronen; Oren Freifeld (ICCV, 2019)

Diffeomorphic Temporal Alignment Nets. - Ron Shapira Weber; Matan Eyal; Nicki Skafte Detlefsen; Oren Shriki; Oren Freifeld (NeurIPS, 2019)

JA-POLS: A Moving-Camera Background Model via Joint Alignment and Partially-Overlapping Local Subspaces. - Irit Chelly; Vlad Winter; Dor Litvak; David Rosen 003; Oren Freifeld (CVPR, 2020)

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

Cyclic Diffeomorphic Transformer Nets For Contour Alignment. - Ilya Kaufman; Ron Shapira Weber; Oren Freifeld (ICIP, 2021)

Sampling in Dirichlet Process Mixture Models for Clustering Streaming Data. - Or Dinari; 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)

DeepDPM: Deep Clustering With an Unknown Number of Clusters. - Meitar Ronen; Shahaf E. Finder; Oren Freifeld (CVPR, 2022)

A Deep Moving-Camera Background Model. - Guy Erez; Ron Shapira Weber; Oren Freifeld (ECCV (35), 2022)

Variational- and metric-based deep latent space for out-of-distribution detection. - Or Dinari; Oren Freifeld (UAI, 2022)

Revisiting DP-Means: fast scalable algorithms via parallelism and delayed cluster creation. - Or Dinari; Oren Freifeld (UAI, 2022)

Effective Learning of a GMRF Mixture Model. - Shahaf E. Finder; Eran Treister; Oren Freifeld (IEEE Access, 2022)

CPU- and GPU-based Distributed Sampling in Dirichlet Process Mixtures for Large-scale Analysis. - Or Dinari; Raz Zamir; John W. Fisher III; Oren Freifeld (CoRR, 2022)

Regularization-free Diffeomorphic Temporal Alignment Nets. - Ron Shapira Weber; Oren Freifeld (ICML, 2023)

From ViT Features to Training-free Video Object Segmentation via Streaming-data Mixture Models. - Roy Uziel; Or Dinari; Oren Freifeld (NeurIPS, 2023)

SpaceJAM: a Lightweight and Regularization-Free Method for Fast Joint Alignment of Images. - Nir Barel; Ron Shapira Weber; Nir Mualem; Shahaf E. Finder; Oren Freifeld (ECCV (13), 2024)

Trainable Highly-Expressive Activation Functions. - Irit Chelly; Shahaf E. Finder; Shira Ifergane; Oren Freifeld (ECCV (60), 2024)

Wavelet Convolutions for Large Receptive Fields. - Shahaf E. Finder; Roy Amoyal; Eran Treister; Oren Freifeld (ECCV (54), 2024)

Leveraging Computational Pathology AI for Noninvasive Optical Imaging Analysis Without Retraining. - Danny Barash; Emilie Manning; Aidan Van Vleck; Omri Hirsch; Kyi Lei Aye; Jingxi Li; Philip O. Scumpia; Aydogan Ozcan; Sumaira Aasi; Kerri E. Rieger; Kavita Y. Sarin; Oren Freifeld; et al. (CoRR, 2024)

Gaussian Splashing: Direct Volumetric Rendering Underwater. - Nir Mualem; Roy Amoyal; Oren Freifeld; Derya Akkaynak (CoRR, 2024)

Consistent Amortized Clustering via Generative Flow Networks. - Irit Chelly; Roy Uziel; Oren Freifeld; Ari Pakman (AISTATS, 2025)

Diffeomorphic Temporal Alignment Nets for Time-series Joint Alignment and Averaging. - Ron Shapira Weber; Oren Freifeld (CoRR, 2025)

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

TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning. - Ron Shapira Weber; Shahar Ben Ishay; Andrey Lavrinenko; Shahaf E. Finder; Oren Freifeld (CoRR, 2025)

Clustering via Self-Supervised Diffusion. - Roy Uziel; Irit Chelly; Oren Freifeld; Ari Pakman (CoRR, 2025)