Oren Freifeld

Orcid: 0000-0001-9816-9709

According to our database1, Oren Freifeld authored at least 34 papers between 2007 and 2023.

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Bibliography

2023
From ViT Features to Training-free Video Object Segmentation via Streaming-data Mixture Models.
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.
Proceedings of the International Conference on Machine Learning, 2023

2022
CPU- and GPU-based Distributed Sampling in Dirichlet Process Mixtures for Large-scale Analysis.
CoRR, 2022

Effective Learning of a GMRF Mixture Model.
IEEE Access, 2022

Revisiting DP-Means: fast scalable algorithms via parallelism and delayed cluster creation.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

Variational- and metric-based deep latent space for out-of-distribution detection.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

A Deep Moving-Camera Background Model.
Proceedings of the Computer Vision - ECCV 2022, 2022

DeepDPM: Deep Clustering With an Unknown Number of Clusters.
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.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Sampling in Dirichlet Process Mixture Models for Clustering Streaming Data.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Cyclic Diffeomorphic Transformer Nets For Contour Alignment.
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.
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.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Diffeomorphic Temporal Alignment Nets.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Bayesian Adaptive Superpixel Segmentation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Distributed MCMC Inference in Dirichlet Process Mixture Models Using Julia.
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.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Deep Diffeomorphic Transformer Networks.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Transformations Based on Continuous Piecewise-Affine Velocity Fields.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

2016
Dreaming More Data: Class-dependent Distributions over Diffeomorphisms for Learned Data Augmentation.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015
A fast method for inferring high-quality simply-connected superpixels.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Highly-Expressive Spaces of Well-Behaved Transformations: Keeping it Simple.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

A Dirichlet Process Mixture Model for Spherical Data.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014
A Mixture of Manhattan Frames: Beyond the Manhattan World.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Model Transport: Towards Scalable Transfer Learning on Manifolds.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Aerial Reconstructions via Probabilistic Data Fusion.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2012
A Geometric take on Metric Learning.
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.
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.
Proceedings of the Computer Vision - ECCV 2012, 2012

From Pictorial Structures to deformable structures.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2010
A 2D Human Body Model Dressed in Eigen Clothing.
Proceedings of the Computer Vision, 2010

Contour people: A parameterized model of 2D articulated human shape.
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.
Int. J. Biomed. Imaging, 2009

2007
Lesion Detection in Noisy Mr Brain Images Using Constrained Gmm and Active Contours.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007


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