Oren Freifeld

According to our database, Oren Freifeld authored at least 37 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Trainable Highly-expressive Activation Functions.

Irit Chelly, Shahaf E. Finder, Shira Ifergane, Oren Freifeld

CoRR, 2024

Wavelet Convolutions for Large Receptive Fields.

Shahaf E. Finder, Roy Amoyal, Eran Treister, Oren Freifeld

Proceedings of the Computer Vision - ECCV 2024, 2024

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

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

From ViT Features to Training-free Video Object Segmentation via Streaming-data Mixture Models.

Roy Uziel, Or Dinari, Oren Freifeld

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Regularization-free Diffeomorphic Temporal Alignment Nets.

Ron Shapira Weber, Oren Freifeld

Proceedings of the International Conference on Machine Learning, 2023

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

Effective Learning of a GMRF Mixture Model.

Shahaf E. Finder, Eran Treister, Oren Freifeld

IEEE Access, 2022

Revisiting DP-Means: fast scalable algorithms via parallelism and delayed cluster creation.

Or Dinari, Oren Freifeld

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Variational- and metric-based deep latent space for out-of-distribution detection.

Or Dinari, Oren Freifeld

Proceedings of the Uncertainty in Artificial Intelligence, 2022

A Deep Moving-Camera Background Model.

Guy Erez, Ron Shapira Weber, Oren Freifeld

Proceedings of the Computer Vision - ECCV 2022, 2022

DeepDPM: Deep Clustering With an Unknown Number of Clusters.

Meitar Ronen, Shahaf E. Finder, Oren Freifeld

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Sampling in Dirichlet Process Mixture Models for Clustering Streaming Data.

Or Dinari, Oren Freifeld

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Cyclic Diffeomorphic Transformer Nets For Contour Alignment.

Ilya Kaufman, Ron Shapira Weber, Oren Freifeld

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020

Scalable and Flexible Clustering of Grouped Data via Parallel and Distributed Sampling in Versatile Hierarchical Dirichlet Processes.

Or Dinari, Oren Freifeld

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

JA-POLS: A Moving-Camera Background Model via Joint Alignment and Partially-Overlapping Local Subspaces.

Irit Chelly, Vlad Winter, Dor Litvak, David Rosen, Oren Freifeld

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Diffeomorphic Temporal Alignment Nets.

Ron Shapira Weber, Matan Eyal, Nicki Skafte Detlefsen, Oren Shriki, Oren Freifeld

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Bayesian Adaptive Superpixel Segmentation.

Roy Uziel, Meitar Ronen, Oren Freifeld

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Distributed MCMC Inference in Dirichlet Process Mixture Models Using Julia.

Or Dinari, Angel Yu, Oren Freifeld, John W. Fisher III

Proceedings of the 19th IEEE/ACM International Symposium on Cluster, 2019

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

Deep Diffeomorphic Transformer Networks.

Nicki Skafte Detlefsen, Oren Freifeld, Søren Hauberg

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

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

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

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015

A fast method for inferring high-quality simply-connected superpixels.

Oren Freifeld, Yixin Li, John W. Fisher III

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Highly-Expressive Spaces of Well-Behaved Transformations: Keeping it Simple.

Oren Freifeld, Søren Hauberg, Kayhan N. Batmanghelich, John W. Fisher III

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

A Dirichlet Process Mixture Model for Spherical Data.

Julian Straub, Jason Chang, Oren Freifeld, John W. Fisher III

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014

A Mixture of Manhattan Frames: Beyond the Manhattan World.

Julian Straub, Guy Rosman, Oren Freifeld, John J. Leonard, John W. Fisher III

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Model Transport: Towards Scalable Transfer Learning on Manifolds.

Oren Freifeld, Søren Hauberg, Michael J. Black

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Aerial Reconstructions via Probabilistic Data Fusion.

Randi Cabezas, Oren Freifeld, Guy Rosman, John W. Fisher III

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2012

A Geometric take on Metric Learning.

Søren Hauberg, Oren Freifeld, Michael J. Black

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 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

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Lie Bodies: A Manifold Representation of 3D Human Shape.

Oren Freifeld, Michael J. Black

Proceedings of the Computer Vision - ECCV 2012, 2012

From Pictorial Structures to deformable structures.

Silvia Zuffi, Oren Freifeld, Michael J. Black

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2010

A 2D Human Body Model Dressed in Eigen Clothing.

Peng Guan, Oren Freifeld, Michael J. Black

Proceedings of the Computer Vision, 2010

Contour people: A parameterized model of 2D articulated human shape.

Oren Freifeld, Alexander Weiss, Silvia Zuffi, Michael J. Black

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Multiple Sclerosis Lesion Detection Using Constrained GMM and Curve Evolution.

Oren Freifeld, Hayit Greenspan, Jacob Goldberger

Int. J. Biomed. Imaging, 2009

2007

Lesion Detection in Noisy Mr Brain Images Using Constrained Gmm and Active Contours.

Oren Freifeld, Hayit Greenspan, Jacob Goldberger

Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007