Oren Freifeld

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 28

Top Topics

Dirichlet Process

Top Venues

Publications

Irit Chelly, Shahaf E. Finder, Shira Ifergane, Oren Freifeld
Trainable Highly-expressive Activation Functions. CoRR (2024)
Shahaf E. Finder, Roy Amoyal, Eran Treister, Oren Freifeld
Wavelet Convolutions for Large Receptive Fields. CoRR (2024)
Nir Barel, Ron Shapira Weber, Nir Mualem, Shahaf E. Finder, Oren Freifeld
SpaceJAM: a Lightweight and Regularization-free Method for Fast Joint Alignment of Images. CoRR (2024)
Ron Shapira Weber, Oren Freifeld
Regularization-free Diffeomorphic Temporal Alignment Nets. ICML (2023)
Roy Uziel, Or Dinari, Oren Freifeld
From ViT Features to Training-free Video Object Segmentation via Streaming-data Mixture Models. NeurIPS (2023)
Shahaf E. Finder, Eran Treister, Oren Freifeld
Effective Learning of a GMRF Mixture Model. IEEE Access 10 (2022)
Vlad Winter, Or Dinari, Oren Freifeld
Common Failure Modes of Subcluster-based Sampling in Dirichlet Process Gaussian Mixture Models - and a Deep-learning Solution. CoRR (2022)
Vlad Winter, Or Dinari, Oren Freifeld
Common Failure Modes of Subcluster-based Sampling in Dirichlet Process Gaussian Mixture Models - and a Deep-learning Solution. AISTATS (2022)
Or Dinari, Oren Freifeld
Variational- and metric-based deep latent space for out-of-distribution detection. UAI (2022)
Or Dinari, Raz Zamir, John W. Fisher III, Oren Freifeld
CPU- and GPU-based Distributed Sampling in Dirichlet Process Mixtures for Large-scale Analysis. CoRR (2022)
Or Dinari, Oren Freifeld
Sampling in Dirichlet Process Mixture Models for Clustering Streaming Data. CoRR (2022)
Guy Erez, Ron Shapira Weber, Oren Freifeld
A Deep Moving-Camera Background Model. ECCV (35) (2022)
Meitar Ronen, Shahaf E. Finder, Oren Freifeld
DeepDPM: Deep Clustering With an Unknown Number of Clusters. CoRR (2022)
Or Dinari, Oren Freifeld
Sampling in Dirichlet Process Mixture Models for Clustering Streaming Data. AISTATS (2022)
Meitar Ronen, Shahaf E. Finder, Oren Freifeld
DeepDPM: Deep Clustering With an Unknown Number of Clusters. CVPR (2022)
Or Dinari, Oren Freifeld
Revisiting DP-Means: fast scalable algorithms via parallelism and delayed cluster creation. UAI (2022)
Guy Erez, Ron Shapira Weber, Oren Freifeld
A Deep Moving-camera Background Model. CoRR (2022)
Ilya Kaufman, Ron Shapira Weber, Oren Freifeld
Cyclic Diffeomorphic Transformer Nets For Contour Alignment. ICIP (2021)
Shahaf E. Finder, Eran Treister, Oren Freifeld
Effective Learning of a GMRF Mixture Model. CoRR (2020)
Irit Chelly, Vlad Winter, Dor Litvak, David Rosen, Oren Freifeld
JA-POLS: A Moving-Camera Background Model via Joint Alignment and Partially-Overlapping Local Subspaces. CVPR (2020)
Or Dinari, Oren Freifeld
Scalable and Flexible Clustering of Grouped Data via Parallel and Distributed Sampling in Versatile Hierarchical Dirichlet Processes. UAI (2020)
Ron Shapira Weber, Matan Eyal, Nicki Skafte Detlefsen, Oren Shriki, Oren Freifeld
Diffeomorphic Temporal Alignment Nets. NeurIPS (2019)
Roy Uziel, Meitar Ronen, Oren Freifeld
Bayesian Adaptive Superpixel Segmentation. ICCV (2019)
Or Dinari, Angel Yu, Oren Freifeld, John W. Fisher III
Distributed MCMC Inference in Dirichlet Process Mixture Models Using Julia. CCGRID (2019)
Julian Straub, Oren Freifeld, Guy Rosman, John J. Leonard, John W. Fisher III
The Manhattan Frame Model - Manhattan World Inference in the Space of Surface Normals. IEEE Trans. Pattern Anal. Mach. Intell. 40 (1) (2018)
Nicki Skafte Detlefsen, Oren Freifeld, Søren Hauberg
Deep Diffeomorphic Transformer Networks. CVPR (2018)
Oren Freifeld, Søren Hauberg, Kayhan Batmanghelich, Jonn W. Fisher
Transformations Based on Continuous Piecewise-Affine Velocity Fields. IEEE Trans. Pattern Anal. Mach. Intell. 39 (12) (2017)
Søren Hauberg, Oren Freifeld, Anders Boesen Lindbo Larsen, John W. Fisher III, Lars Kai Hansen
Dreaming More Data: Class-dependent Distributions over Diffeomorphisms for Learned Data Augmentation. AISTATS (2016)
Søren Hauberg, Oren Freifeld, Anders Boesen Lindbo Larsen, John W. Fisher III, Lars Kai Hansen
Dreaming More Data: Class-dependent Distributions over Diffeomorphisms for Learned Data Augmentation. CoRR (2015)
Oren Freifeld, Yixin Li, John W. Fisher III
A fast method for inferring high-quality simply-connected superpixels. ICIP (2015)
Julian Straub, Jason Chang, Oren Freifeld, John W. Fisher III
A Dirichlet Process Mixture Model for Spherical Data. AISTATS (2015)
Oren Freifeld, Søren Hauberg, Kayhan N. Batmanghelich, John W. Fisher III
Highly-Expressive Spaces of Well-Behaved Transformations: Keeping it Simple. ICCV (2015)
Oren Freifeld, Søren Hauberg, Michael J. Black
Model Transport: Towards Scalable Transfer Learning on Manifolds. CVPR (2014)
Julian Straub, Guy Rosman, Oren Freifeld, John J. Leonard, John W. Fisher III
A Mixture of Manhattan Frames: Beyond the Manhattan World. CVPR (2014)
Randi Cabezas, Oren Freifeld, Guy Rosman, John W. Fisher III
Aerial Reconstructions via Probabilistic Data Fusion. CVPR (2014)
Justin D. Foster, Paul Nuyujukian, Oren Freifeld, Stephen I. Ryu, Michael J. Black, Krishna V. Shenoy
A framework for relating neural activity to freely moving behavior. EMBC (2012)
Søren Hauberg, Oren Freifeld, Michael J. Black
A Geometric take on Metric Learning. NIPS (2012)
Oren Freifeld, Michael J. Black
Lie Bodies: A Manifold Representation of 3D Human Shape. ECCV (1) (2012)
Silvia Zuffi, Oren Freifeld, Michael J. Black
From Pictorial Structures to deformable structures. CVPR (2012)
Peng Guan, Oren Freifeld, Michael J. Black
A 2D Human Body Model Dressed in Eigen Clothing. ECCV (1) (2010)
Oren Freifeld, Alexander Weiss, Silvia Zuffi, Michael J. Black
Contour people: A parameterized model of 2D articulated human shape. CVPR (2010)
Oren Freifeld, Hayit Greenspan, Jacob Goldberger
Multiple Sclerosis Lesion Detection Using Constrained GMM and Curve Evolution. Int. J. Biomed. Imaging 2009 (2009)
Oren Freifeld, Hayit Greenspan, Jacob Goldberger
Lesion Detection in Noisy Mr Brain Images Using Constrained Gmm and Active Contours. ISBI (2007)