Oren Freifeld - RankMe

61 papers A* 16A 8B 3Journal 25Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cross-Instance Gaussian Splatting Registration via Geometry-Aware Feature-Guided Alignment. CoRR Roy Amoyal, Oren Freifeld, Chaim Baskin
2026	J	`jnl`	SoftDTW-CUDA-Torch: Memory-Efficient GPU-Accelerated Soft Dynamic Time Warping for PyTorch. CoRR Ron Shapira Weber, Oren Freifeld
2025	A*	`conf`	Clustering via Self-Supervised Diffusion. ICML Roy Uziel, Irit Chelly, Oren Freifeld, Ari Pakman
2025	J	`jnl`	Clustering via Self-Supervised Diffusion. CoRR Roy Uziel, Irit Chelly, Oren Freifeld, Ari Pakman
2025	A	`conf`	Consistent Amortized Clustering via Generative Flow Networks. AISTATS Irit Chelly, Roy Uziel, Oren Freifeld, Ari Pakman
2025	J	`jnl`	Consistent Amortized Clustering via Generative Flow Networks. CoRR Irit Chelly, Roy Uziel, Oren Freifeld, Ari Pakman
2025	J	`jnl`	Diffeomorphic Temporal Alignment Nets for Time-series Joint Alignment and Averaging. CoRR Ron Shapira Weber, Oren Freifeld
2025	J	`jnl`	FastJAM: a Fast Joint Alignment Model for Images. CoRR Omri Hirsch, Ron Shapira Weber, Shira Ifergane, Oren Freifeld
2025	A*	`conf`	Improving the Effective Receptive Field of Message-Passing Neural Networks. ICML Shahaf E. Finder, Ron Shapira Weber, Moshe Eliasof, Oren Freifeld, Eran Treister
2025	J	`jnl`	Improving the Effective Receptive Field of Message-Passing Neural Networks. CoRR Shahaf E. Finder, Ron Shapira Weber, Moshe Eliasof, Oren Freifeld, Eran Treister
2025	J	`jnl`	Synchronization of Multiple Videos. CoRR Avihai Naaman, Ron Shapira Weber, Oren Freifeld
2025	A*	`conf`	TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning. ICML Ron Shapira Weber, Shahar Ben Ishay, Andrey Lavrinenko, Shahaf E. Finder, Oren Freifeld
2025	J	`jnl`	TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning. CoRR Ron Shapira Weber, Shahar Ben Ishay, Andrey Lavrinenko, Shahaf E. Finder, Oren Freifeld
2024	J	`jnl`	Gaussian Splashing: Direct Volumetric Rendering Underwater. CoRR Nir Mualem, Roy Amoyal, Oren Freifeld, Derya Akkaynak
2024	J	`jnl`	Leveraging Computational Pathology AI for Noninvasive Optical Imaging Analysis Without Retraining. CoRR Danny Barash, Emilie Manning, Aidan Van Vleck, Omri Hirsch, Kyi Lei Aye, Jingxi Li, Philip O. Scumpia, Aydogan Ozcan, Sumaira Aasi, Kerri E. Rieger, Kavita Y. Sarin, Oren Freifeld, Yonatan Winetraub
2024	—	`conf`	SpaceJAM: a Lightweight and Regularization-Free Method for Fast Joint Alignment of Images. ECCV (13) Nir Barel, Ron Shapira Weber, Nir Mualem, Shahaf E. Finder, Oren Freifeld
2024	J	`jnl`	SpaceJAM: a Lightweight and Regularization-free Method for Fast Joint Alignment of Images. CoRR Nir Barel, Ron Shapira Weber, Nir Mualem, Shahaf E. Finder, Oren Freifeld
2024	—	`conf`	Trainable Highly-Expressive Activation Functions. ECCV (60) Irit Chelly, Shahaf E. Finder, Shira Ifergane, Oren Freifeld
2024	J	`jnl`	Trainable Highly-expressive Activation Functions. CoRR Irit Chelly, Shahaf E. Finder, Shira Ifergane, Oren Freifeld
2024	—	`conf`	Wavelet Convolutions for Large Receptive Fields. ECCV (54) Shahaf E. Finder, Roy Amoyal, Eran Treister, Oren Freifeld
2024	J	`jnl`	Wavelet Convolutions for Large Receptive Fields. CoRR Shahaf E. Finder, Roy Amoyal, Eran Treister, Oren Freifeld
2023	A*	`conf`	From ViT Features to Training-free Video Object Segmentation via Streaming-data Mixture Models. NeurIPS Roy Uziel, Or Dinari, Oren Freifeld
2023	A*	`conf`	Regularization-free Diffeomorphic Temporal Alignment Nets. ICML Ron Shapira Weber, Oren Freifeld
2022	—	`conf`	A Deep Moving-Camera Background Model. ECCV (35) Guy Erez, Ron Shapira Weber, Oren Freifeld
2022	J	`jnl`	A Deep Moving-camera Background Model. CoRR Guy Erez, Ron Shapira Weber, Oren Freifeld
2022	J	`jnl`	CPU- and GPU-based Distributed Sampling in Dirichlet Process Mixtures for Large-scale Analysis. CoRR Or Dinari, Raz Zamir, John W. Fisher III, Oren Freifeld
2022	A	`conf`	Common Failure Modes of Subcluster-based Sampling in Dirichlet Process Gaussian Mixture Models - and a Deep-learning Solution. AISTATS Vlad Winter, Or Dinari, Oren Freifeld
2022	J	`jnl`	Common Failure Modes of Subcluster-based Sampling in Dirichlet Process Gaussian Mixture Models - and a Deep-learning Solution. CoRR Vlad Winter, Or Dinari, Oren Freifeld
2022	A*	`conf`	DeepDPM: Deep Clustering With an Unknown Number of Clusters. CVPR Meitar Ronen, Shahaf E. Finder, Oren Freifeld
2022	J	`jnl`	DeepDPM: Deep Clustering With an Unknown Number of Clusters. CoRR Meitar Ronen, Shahaf E. Finder, Oren Freifeld
2022	J	`jnl`	Effective Learning of a GMRF Mixture Model. IEEE Access Shahaf E. Finder, Eran Treister, Oren Freifeld
2022	A	`conf`	Revisiting DP-Means: fast scalable algorithms via parallelism and delayed cluster creation. UAI Or Dinari, Oren Freifeld
2022	A	`conf`	Sampling in Dirichlet Process Mixture Models for Clustering Streaming Data. AISTATS Or Dinari, Oren Freifeld
2022	J	`jnl`	Sampling in Dirichlet Process Mixture Models for Clustering Streaming Data. CoRR Or Dinari, Oren Freifeld
2022	A	`conf`	Variational- and metric-based deep latent space for out-of-distribution detection. UAI Or Dinari, Oren Freifeld
2021	B	`conf`	Cyclic Diffeomorphic Transformer Nets For Contour Alignment. ICIP Ilya Kaufman, Ron Shapira Weber, Oren Freifeld
2020	J	`jnl`	Effective Learning of a GMRF Mixture Model. CoRR Shahaf E. Finder, Eran Treister, Oren Freifeld
2020	A*	`conf`	JA-POLS: A Moving-Camera Background Model via Joint Alignment and Partially-Overlapping Local Subspaces. CVPR Irit Chelly, Vlad Winter, Dor Litvak, David Rosen, Oren Freifeld
2020	A	`conf`	Scalable and Flexible Clustering of Grouped Data via Parallel and Distributed Sampling in Versatile Hierarchical Dirichlet Processes. UAI Or Dinari, Oren Freifeld
2019	A*	`conf`	Bayesian Adaptive Superpixel Segmentation. ICCV Roy Uziel, Meitar Ronen, Oren Freifeld
2019	A*	`conf`	Diffeomorphic Temporal Alignment Nets. NeurIPS Ron Shapira Weber, Matan Eyal, Nicki Skafte Detlefsen, Oren Shriki, Oren Freifeld
2019	B	`conf`	Distributed MCMC Inference in Dirichlet Process Mixture Models Using Julia. CCGRID Or Dinari, Angel Yu, Oren Freifeld, John W. Fisher III
2018	A*	`conf`	Deep Diffeomorphic Transformer Networks. CVPR Nicki Skafte Detlefsen, Oren Freifeld, Søren Hauberg
2018	J	`jnl`	The Manhattan Frame Model - Manhattan World Inference in the Space of Surface Normals. IEEE Trans. Pattern Anal. Mach. Intell. Julian Straub, Oren Freifeld, Guy Rosman, John J. Leonard, John W. Fisher III
2017	J	`jnl`	Transformations Based on Continuous Piecewise-Affine Velocity Fields. IEEE Trans. Pattern Anal. Mach. Intell. Oren Freifeld, Søren Hauberg, Kayhan Batmanghelich, John W. Fisher III
2016	A	`conf`	Dreaming More Data: Class-dependent Distributions over Diffeomorphisms for Learned Data Augmentation. AISTATS Søren Hauberg, Oren Freifeld, Anders Boesen Lindbo Larsen, John W. Fisher III, Lars Kai Hansen
2015	A	`conf`	A Dirichlet Process Mixture Model for Spherical Data. AISTATS Julian Straub, Jason Chang, Oren Freifeld, John W. Fisher III
2015	B	`conf`	A fast method for inferring high-quality simply-connected superpixels. ICIP Oren Freifeld, Yixin Li, John W. Fisher III
2015	J	`jnl`	Dreaming More Data: Class-dependent Distributions over Diffeomorphisms for Learned Data Augmentation. CoRR Søren Hauberg, Oren Freifeld, Anders Boesen Lindbo Larsen, John W. Fisher III, Lars Kai Hansen
2015	A*	`conf`	Highly-Expressive Spaces of Well-Behaved Transformations: Keeping it Simple. ICCV Oren Freifeld, Søren Hauberg, Kayhan N. Batmanghelich, John W. Fisher III
2014	A*	`conf`	A Mixture of Manhattan Frames: Beyond the Manhattan World. CVPR Julian Straub, Guy Rosman, Oren Freifeld, John J. Leonard, John W. Fisher III
2014	A*	`conf`	Aerial Reconstructions via Probabilistic Data Fusion. CVPR Randi Cabezas, Oren Freifeld, Guy Rosman, John W. Fisher III
2014	A*	`conf`	Model Transport: Towards Scalable Transfer Learning on Manifolds. CVPR Oren Freifeld, Søren Hauberg, Michael J. Black
2012	—	`conf`	A Geometric take on Metric Learning. NIPS Søren Hauberg, Oren Freifeld, Michael J. Black
2012	—	`conf`	A framework for relating neural activity to freely moving behavior. EMBC Justin D. Foster, Paul Nuyujukian, Oren Freifeld, Stephen I. Ryu, Michael J. Black, Krishna V. Shenoy
2012	A*	`conf`	From Pictorial Structures to deformable structures. CVPR Silvia Zuffi, Oren Freifeld, Michael J. Black
2012	—	`conf`	Lie Bodies: A Manifold Representation of 3D Human Shape. ECCV (1) Oren Freifeld, Michael J. Black
2010	—	`conf`	A 2D Human Body Model Dressed in Eigen Clothing. ECCV (1) Peng Guan, Oren Freifeld, Michael J. Black
2010	A*	`conf`	Contour people: A parameterized model of 2D articulated human shape. CVPR Oren Freifeld, Alexander Weiss, Silvia Zuffi, Michael J. Black
2009	J	`jnl`	Multiple Sclerosis Lesion Detection Using Constrained GMM and Curve Evolution. Int. J. Biomed. Imaging Oren Freifeld, Hayit Greenspan, Jacob Goldberger
2007	—	`conf`	Lesion Detection in Noisy Mr Brain Images Using Constrained Gmm and Active Contours. ISBI Oren Freifeld, Hayit Greenspan, Jacob Goldberger