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2020 – today
- 2024
[c31]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. ECCV (13) 2024: 180-197- [c30]Shahaf E. Finder, Roy Amoyal, Eran Treister, Oren Freifeld:
Wavelet Convolutions for Large Receptive Fields. ECCV (54) 2024: 363-380 - [i10]Shahaf E. Finder, Roy Amoyal, Eran Treister, Oren Freifeld:
Wavelet Convolutions for Large Receptive Fields. CoRR abs/2407.05848 (2024) - [i9]Irit Chelly, Shahaf E. Finder, Shira Ifergane, Oren Freifeld:
Trainable Highly-expressive Activation Functions. CoRR abs/2407.07564 (2024) - [i8]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 abs/2407.11850 (2024) - 2023
- [c29]Ron Shapira Weber, Oren Freifeld:
Regularization-free Diffeomorphic Temporal Alignment Nets. ICML 2023: 30794-30826 - [c28]Roy Uziel, Or Dinari, Oren Freifeld:
From ViT Features to Training-free Video Object Segmentation via Streaming-data Mixture Models. NeurIPS 2023 - 2022
- [j4]Shahaf E. Finder
, Eran Treister, Oren Freifeld:
Effective Learning of a GMRF Mixture Model. IEEE Access 10: 7289-7299 (2022) - [c27]Or Dinari, Oren Freifeld:
Sampling in Dirichlet Process Mixture Models for Clustering Streaming Data. AISTATS 2022: 818-835 - [c26]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: 1432-1456 - [c25]Meitar Ronen, Shahaf E. Finder, Oren Freifeld:
DeepDPM: Deep Clustering With an Unknown Number of Clusters. CVPR 2022: 9851-9860 - [c24]Guy Erez, Ron Shapira Weber, Oren Freifeld:
A Deep Moving-Camera Background Model. ECCV (35) 2022: 177-194 - [c23]Or Dinari, Oren Freifeld:
Variational- and metric-based deep latent space for out-of-distribution detection. UAI 2022: 569-578 - [c22]Or Dinari, Oren Freifeld:
Revisiting DP-Means: fast scalable algorithms via parallelism and delayed cluster creation. UAI 2022: 579-588 - [i7]Or Dinari, Oren Freifeld:
Sampling in Dirichlet Process Mixture Models for Clustering Streaming Data. CoRR abs/2202.13312 (2022) - [i6]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 abs/2203.13661 (2022) - [i5]Meitar Ronen, Shahaf E. Finder, Oren Freifeld:
DeepDPM: Deep Clustering With an Unknown Number of Clusters. CoRR abs/2203.14309 (2022) - [i4]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 abs/2204.08988 (2022) - [i3]Guy Erez, Ron Shapira Weber, Oren Freifeld:
A Deep Moving-camera Background Model. CoRR abs/2209.07923 (2022) - 2021
- [c21]Ilya Kaufman, Ron Shapira Weber, Oren Freifeld:
Cyclic Diffeomorphic Transformer Nets For Contour Alignment. ICIP 2021: 349-353 - 2020
- [c20]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: 12582-12591 - [c19]Or Dinari, Oren Freifeld:
Scalable and Flexible Clustering of Grouped Data via Parallel and Distributed Sampling in Versatile Hierarchical Dirichlet Processes. UAI 2020: 231-240 - [i2]Shahaf E. Finder, Eran Treister, Oren Freifeld:
Effective Learning of a GMRF Mixture Model. CoRR abs/2005.09030 (2020)
2010 – 2019
- 2019
- [c18]Or Dinari, Angel Yu, Oren Freifeld, John W. Fisher III:
Distributed MCMC Inference in Dirichlet Process Mixture Models Using Julia. CCGRID 2019: 518-525 - [c17]Roy Uziel, Meitar Ronen, Oren Freifeld:
Bayesian Adaptive Superpixel Segmentation. ICCV 2019: 8469-8478 - [c16]Ron Shapira Weber, Matan Eyal, Nicki Skafte Detlefsen, Oren Shriki, Oren Freifeld:
Diffeomorphic Temporal Alignment Nets. NeurIPS 2019: 6570-6581 - 2018
- [j3]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): 235-249 (2018) - [c15]Nicki Skafte Detlefsen, Oren Freifeld, Søren Hauberg:
Deep Diffeomorphic Transformer Networks. CVPR 2018: 4403-4412 - 2017
- [j2]Oren Freifeld, Søren Hauberg, Kayhan Batmanghelich, John W. Fisher III:
Transformations Based on Continuous Piecewise-Affine Velocity Fields. IEEE Trans. Pattern Anal. Mach. Intell. 39(12): 2496-2509 (2017) - 2016
- [c14]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: 342-350 - 2015
- [c13]Julian Straub, Jason Chang, Oren Freifeld, John W. Fisher III:
A Dirichlet Process Mixture Model for Spherical Data. AISTATS 2015 - [c12]Oren Freifeld, Søren Hauberg, Kayhan N. Batmanghelich, John W. Fisher III:
Highly-Expressive Spaces of Well-Behaved Transformations: Keeping it Simple. ICCV 2015: 2911-2919 - [c11]Oren Freifeld, Yixin Li, John W. Fisher III:
A fast method for inferring high-quality simply-connected superpixels. ICIP 2015: 2184-2188 - [i1]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 abs/1510.02795 (2015) - 2014
- [c10]Oren Freifeld, Søren Hauberg, Michael J. Black:
Model Transport: Towards Scalable Transfer Learning on Manifolds. CVPR 2014: 1378-1385 - [c9]Julian Straub, Guy Rosman, Oren Freifeld, John J. Leonard, John W. Fisher III:
A Mixture of Manhattan Frames: Beyond the Manhattan World. CVPR 2014: 3770-3777 - [c8]Randi Cabezas, Oren Freifeld, Guy Rosman, John W. Fisher III:
Aerial Reconstructions via Probabilistic Data Fusion. CVPR 2014: 4010-4017 - 2012
- [c7]Silvia Zuffi, Oren Freifeld, Michael J. Black:
From Pictorial Structures to deformable structures. CVPR 2012: 3546-3553 - [c6]Oren Freifeld, Michael J. Black:
Lie Bodies: A Manifold Representation of 3D Human Shape. ECCV (1) 2012: 1-14 - [c5]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: 2736-2739 - [c4]Søren Hauberg, Oren Freifeld, Michael J. Black:
A Geometric take on Metric Learning. NIPS 2012: 2033-2041 - 2010
- [c3]Oren Freifeld, Alexander Weiss, Silvia Zuffi, Michael J. Black:
Contour people: A parameterized model of 2D articulated human shape. CVPR 2010: 639-646 - [c2]Peng Guan, Oren Freifeld, Michael J. Black:
A 2D Human Body Model Dressed in Eigen Clothing. ECCV (1) 2010: 285-298
2000 – 2009
- 2009
- [j1]Oren Freifeld, Hayit Greenspan, Jacob Goldberger:
Multiple Sclerosis Lesion Detection Using Constrained GMM and Curve Evolution. Int. J. Biomed. Imaging 2009: 715124:1-715124:13 (2009) - 2007
- [c1]Oren Freifeld, Hayit Greenspan, Jacob Goldberger:
Lesion Detection in Noisy Mr Brain Images Using Constrained Gmm and Active Contours. ISBI 2007: 596-599
Coauthor Index
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last updated on 2024-11-15 20:39 CET by the dblp team
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