Preprints
-
Gaussian Splashing: Direct Volumetric Rendering Underwater.
arXiv, 2025.
Nir Mualem, Roy Amoyal, Oren Freifeld, and Derya Akkaynak -
Diffeomorphic Temporal Alignment Nets for Time-series Joint Alignment and Averaging.
arXiv, 2025.
Ron Shapira Weber and Oren Freifeld - CPU- and GPU-based Distributed Sampling in Dirichlet Process Mixtures for Large-scale Analysis. arXiv, 2022 ("provisionally accepted" to the Journal of Statistical Software, date of publucation: TBA) . Or Dinari*, Raz Zamir*, John Fisher III, and Oren Freifeld. ("*" indicates both these authors contributed equally) [ PDF ] [ Code: Python; Julia; CUDA/C++]
Peer-Reviewed Publications
| NeurIPS 2025 |
FastJAM: a Fast Joint Alignment Model for Images. Omri Hirsch*, Ron Shapira Weber*, Shira Ifergane, Oren Freifeld |
| ICCV 2025 |
Synchronization of Multiple Videos. Avihai Naaman*, Ron Shapira Weber*, Oren Freifeld |
| ICML 2025 |
TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning. Ron Shapira Weber, Shahar Benishay, Shahaf E. Finder, Andrey Lavrinenko, Oren Freifeld |
| ICML 2025 |
Improving the Effective Receptive Field of Message-Passing Neural Networks. Shahaf E. Finder, Ron Shapira Weber, Moshe Eliasof, Oren Freifeld, Eran Treister |
| ICML 2025 |
Clustering via Self-Supervised Diffusion. Roy Uziel, Irit Chelly, Oren Freifeld, Ari Pakman |
| AISTATS 2025 |
Consistent Amortized Clustering via Generative Flow Networks. Irit Chelly, Roy Uziel, Oren Freifeld, Ari Pakman |
| ECCV 2024 |
SpaceJAM: a Lightweight and Regularization-free Method for Fast Joint Alignment of Images. Nir Barel*, Ron Shapira Weber*, Nir Mualem, Shahaf Finder, Oren Freifeld |
| ECCV 2024 |
Wavelet Convolutions for Large Receptive Fields. Shahaf Finder, Roy Amoyal, Eran Treister, Oren Freifeld |
| ECCV 2024 |
Trainable Highly-expressive Activation Functions. Irit Chelly*, Shahaf Finder*, Shira Ifergane, Oren Freifeld |
| NeurIPS 2023 |
From ViT Features to Training-free Video Object Segmentation via Streaming-data Mixture Models. Roy Uziel, Or Dinari, Oren Freifeld [ PDF ] [ Supplemental Material ] [ Code ] |
| ICML 2023 |
Regularization-free Diffeomorphic Temporal Alignment Nets. Ron Shapira-Weber, Oren Freifeld [ PDF (paper + Supplemental Material) ] [ Code ] |
| ECCV 2022 |
A Deep Moving-camera Background Model. Guy Erez, Ron Shapira-Weber, Oren Freifeld [ PDF ] [ Supplemental Material ] [ Code ] |
| UAI 2022 |
Revisiting DP-Means: Fast Scalable Algorithms via Parallelism and Delayed Cluster Creation. Or Dinari, Oren Freifeld [ PDF ] [ Code ] |
| UAI 2022 |
Variational- and Metric-based Deep Latent Space for Out-of-Distribution Detection. Or Dinari, Oren Freifeld [ PDF ] [ Code ] |
| CVPR 2022 |
DeepDPM: Deep Clustering With an Unknown Number of Clusters. Meitar Ronen, Shahaf Finder, Oren Freifeld [ PDF (Paper +Supplemental Material) ] [ Code ] |
| AISTATS 2022 |
Sampling in Dirichlet Process Mixture Models for Clustering Streaming Data. Or Dinari, Oren Freifeld [ PDF (Paper +Supplemental Material) ] [ Code (Julia) ] [ Code (Python) ] [ DataSets ] [ Example Notebook (Julia) ] [ Example Notebook (Python): Coming Soon ] |
| 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 ("*" indicates both these authors contributed equally) [ PDF (Paper +Supplemental Material) ] [ Code ] |
| IEEE Access 2022 |
Effective Learning of a GMRF Mixture Model. Shahaf Finder, Eran Treister, Oren Freifeld [ PDF ] [ Code ] |
| ICIP 2021 |
Cyclic Diffeomorphic Transformer Nets for Contour Alignment. Ilya Kaufman, Ron Shapira Weber, Oren Freifeld [ PDF ] [ Code ] |
| UAI 2020 |
Scalable and Flexible Clustering of Grouped Data via Parallel and Distributed Sampling in Versatile Hierarchical Dirichlet Processes. Or Dinari, Oren Freifeld [ PDF ] [ Supplemental Material ] [ Code (Julia) ] [ Code (Python) ] |
| CVPR 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 [ PDF ] [ Supplemental Material ] [ Videos (example results) ] [ Code ] |
| NeurIPS 2019 |
Diffeomorphic Temporal Alignment Nets. Ron Shapira Weber, Matan Eyal, Nicki Skafte Detlefsen, Oren Shriki, Oren Freifeld [ PDF ] [ Supplemental Material ] [ Code ] |
| ICCV 2019 |
Bayesian Adaptive Superpixel Segmentation. Roy Uziel, Meitar Ronen, Oren Freifeld [ PDF ] [ Supplemental Material ] [ Code ] |
| HPML 2019 |
Distributed MCMC Inference in Dirichlet Process Mixture Models Using Julia. Dinari, O.*, Yu, A.*, Freifeld, O., Fisher III, J. ("*" indicates both these authors contributed equally) Best Paper Award [ PDF ] [ Code (Julia) ] [ Code (Python) ] |
| CVPR 2018 |
Deep Diffeomorphic Transformer Networks. Skafte Detlefsen, N., Freifeld, O., Hauberg, S. [ PDF ] [ Supplemental Material ] [ Nicki Skafte Deftelsen's derivation of the matrix exponentials: PDF; Maple ] [ Code ] |
| IEEE-TPAMI 2018 |
The Manhattan Frame Model – Manhattan World Inference in the Space of Surface Normals. Straub, J., Freifeld, O., Rosman, G., Leonard, J., Fisher III, J. [ PDF ] |
| IEEE-TPAMI 2017 |
Transformations Based on Continuous Piecewise-Affine Velocity Fields. Freifeld, O., Hauberg, S., Batmanghelich, K., Fisher III, J. [ PDF ] [ Supplemental Material ] [ Technical Report: Deriving the CPAB Derivative (also includes fixing a small mistake in Eq 24 from the PAMI paper) ] |
| AISTATS 2016 |
Dreaming More Data: Class-dependent Distributions over Diffeomorphisms for Learned Data Augmentation. Hauberg, S., Freifeld, O., Larsen, A.B.L., Fisher III, J., Hansen, L.K. Accepted as Oral [ PDF ] [ Video ] [ Datasets (AlignMNIST and AlignMNIST500) ] |
| ICCV 2015 |
Highly-Expressive Spaces of Well-Behaved Transformations: Keeping It Simple. Freifeld, O., Hauberg, S., Batmanghelich, K., Fisher III, J. [ PDF ] [ BibTex ] [ Project Webpage ] [ Supplemental Material ] [ Poster ] [ Code 1: uses GPU; requires an NVIDIA card; written in Python+CUDA ] [ Code 2: CPU-only; partial implementation; written in Julia ] [ Video 1: Conditional warp ] [ Video 2: spotlight ] |
| ICIP 2015 |
A Fast Method for Inferring High-Quality Simply-Connected Superpixels. Freifeld, O., Li, Y., Fisher III, J. Accepted as Oral. Recognized as one of the "Top 10% ICIP 2015 papers". [ PDF ] [ BibTex ] [ Slides ] [ Project Webpage ] [ Code: CUDA + Python/C++/Matlab wrappers ] [ Remarks about the initialization+benchmarks ] For additional examples in higher resolution than those in the paper: [ original (~38MB) ] [ slightly compressed (~5MB) ] |
| AISTATS 2015 |
A Dirichlet Process Mixture Model for Spherical Data. Straub, J., Chang, J., Freifeld, O., Fisher III, J. Accepted as Oral [ PDF ] [ BibTex ] [ Supplemental Material ] [ Code ] |
| CVPR 2014 |
A Mixture of Manhattan Frames: Beyond the Manhattan World. Straub, J., Rosman, G., Freifeld, O., Leonard, J., Fisher III, J. Accepted as Oral [ PDF ] [ BibTex ] [ Project Webpage ] [ Supplemental Material ] [ Video ] [ Code ] After the exposure it received in MIT News, this project was also covered by many technology/robotics websites. |
| CVPR 2014 |
Aerial Reconstructions via Probabilistic Data Fusion. Cabezas, R., Freifeld, O., Rosman, G., Fisher III, J. [ PDF ] [ BibTex ] [ Project Webpage ] [ Supplemental Material ] [ Video ] [ Code ] [ A 3D result reviewer ] |
| CVPR 2014 |
Model Transport: Towards Scalable Transfer Learning on Manifolds. Freifeld, O., Hauberg, S., Black, M.J. [ PDF ] [ BibTex ] [ Supplemental Material ] [ Video ] [ Remark about the data ] |
| J. Neural Engineering 2014 |
A freely-moving monkey treadmill model. Foster, J.D., Nuyujukian, P., Freifeld, O., Gao, Walker, Ryu, S., Meng, T., Murmann, Black, M.J., Shenoy, K.V. [ PDF (coming up soon) ] [ Project webpage at MPI-IS-PS ] [ Shenoy's group at Stanford EE ] |
| NIPS 2012 |
A Geometric take on Metric Learning. Hauberg, S., Freifeld, O., Black, M.J. [ PDF ] [ BibTex ] [ Project Webpage ] [ Supplemental Material ] [ Video ] [ Code ] |
| ECCV 2012 |
Lie Bodies: A Manifold Representation of 3D Human Shape. Freifeld, O., Black, M.J. [ PDF ] [ BibTex ] [ Project Webpage ] [ Supplemental Material ] [ Poster ] [ Video 1 ] [ Video 2 (~40 MB) ] [ Code ] [ Remark about the data ] |
| CVPR 2012 |
From pictorial structures to deformable structures. Zuffi, S., Freifeld, O., Black, M.J. [ PDF ] [ BibTex ] [ Project Webpage ] [ Code ] |
| IEEE-EMBC 2012 |
A framework for relating neural activity to freely moving behavior. Foster, J.D., Nuyujukian, P., Freifeld, O., Ryu, S., Black, M.J., Shenoy, K.V. Accepted as Oral [ BibTex ] |
| IEEE-NER 2011 |
Combining wireless neural recording and video capture for the analysis of natural gait. Foster, J., Freifeld, O., Nuyujukian, P., Ryu, S., Black, M.J., Shenoy, K.V. Accepted as Oral [ PDF ] [ BibTex ] |
| ECCV 2010 |
A 2D human body model dressed in eigen clothing. Guan, P., Freifeld, O., Black, M.J. [ PDF ] [ BibTex ] [ Data ] |
| CVPR 2010 |
Contour people: A parameterized model of 2D articulated human shape. Freifeld, O., Weiss, A., Zuffi, S., Black, M.J. Accepted as Oral [ PDF ] [ BibTex ] [ Slides ] [ Talk's Video ] |
| Int. J. Biomed. Imaging 2009 |
Multiple Sclerosis lesion detection using constrained GMM and curve evolution. Freifeld, O., Greenspan, H., Goldberger, J. [ PDF ] |
| IEEE-ISBI 2007 |
Lesion detection in noisy MR brain images using constrained GMM and active contours. Freifeld, O., Greenspan, H., Goldberger, J. Accepted as Oral [ PDF ] [ Slides ] |
Theses
- Statistics on Manifolds with Applications to Modeling Shape Deformations. PhD Thesis, Brown University, August 2013. Freifeld, O. [ PDF ] [ BibTex ] [ Eratta ]
- MR Brain Image Analysis: Healthy Tissue Segmentation and Multiple Sclerosis Lesion Detection Using Constrained GMM and Curve Evolution. MSc Thesis, Tel-Aviv University, July 2007. Freifeld, O.