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← Authors

Oren Freifeld

28 papers · 2012–2025 · 7 conferences · across top CS/AI conferences

Achievements

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+8 more ↓ 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (12) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (7)
🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ† Keyword Champion (2) πŸ—ƒοΈ Keyword Collector (108) πŸ“ˆ Trend Setter πŸ’Ž Century Club (28) ⚑ Prolific Year (5)

Conferences

CVPR (6) AISTATS (5) ECCV (4) ICML (4) ICCV (3) NIPS (3) UAI (3)

Top co-authors

Or Dinari (6) Ron Shapira Weber (5) Roy Uziel (4) Shahaf E. Finder (4) Irit Chelly (4) SΓΈren Hauberg (3) John W. Fisher III (3) Guy Rosman (2) Vlad Winter (2) Ron A Shapira Weber (2)

Keywords

mixture model (3) bayesian nonparametrics (3) unsupervised learning (2) dirichlet process mixture model (2) joint alignment (2) nonparametric clustering (2) riemannian manifold (2) mcmc sampling (2) image transformation (2) diffeomorphic registration (2) representation learning (2) video alignment (2) dirichlet process (2) metric learning (2) temporal alignment (2) diffeomorphic transformation (2) bayesian inference (1) principal component analysis (1) transfer learning (1) uncertainty modeling (1)

Papers

Synchronization of Multiple Videos ICCV 2025 TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning ICML 2025 Improving the Effective Receptive Field of Message-Passing Neural Networks ICML 2025 Clustering via Self-Supervised Diffusion ICML 2025 Consistent Amortized Clustering via Generative Flow Networks AISTATS 2025 Wavelet Convolutions for Large Receptive Fields ECCV 2024 SpaceJAM: a Lightweight and Regularization-free Method for Fast Joint Alignment of Images ECCV 2024 Trainable Highly-expressive Activation Functions ECCV 2024 Regularization-free Diffeomorphic Temporal Alignment Nets ICML 2023 From ViT Features to Training-free Video Object Segmentation via Streaming-data Mixture Models NIPS 2023 Revisiting DP-Means: fast scalable algorithms via parallelism and delayed cluster creation UAI 2022 Sampling in Dirichlet Process Mixture Models for Clustering Streaming Data AISTATS 2022 Common Failure Modes of Subcluster-based Sampling in Dirichlet Process Gaussian Mixture Models - and a Deep-learning Solution AISTATS 2022 DeepDPM: Deep Clustering With an Unknown Number of Clusters CVPR 2022 A Deep Moving-Camera Background Model ECCV 2022 Variational- and metric-based deep latent space for out-of-distribution detection UAI 2022 JA-POLS: A Moving-Camera Background Model via Joint Alignment and Partially-Overlapping Local Subspaces CVPR 2020 Scalable and Flexible Clustering of Grouped Data via Parallel and Distributed Sampling in Versatile Hierarchical Dirichlet Processes UAI 2020 Diffeomorphic Temporal Alignment Nets NIPS 2019 Bayesian Adaptive Superpixel Segmentation ICCV 2019 Deep Diffeomorphic Transformer Networks CVPR 2018 Dreaming More Data: Class-dependent Distributions over Diffeomorphisms for Learned Data Augmentation AISTATS 2016 Highly-Expressive Spaces of Well-Behaved Transformations: Keeping It Simple ICCV 2015 A Dirichlet Process Mixture Model for Spherical Data AISTATS 2015 A Mixture of Manhattan Frames: Beyond the Manhattan World CVPR 2014 Model Transport: Towards Scalable Transfer Learning on Manifolds CVPR 2014 Aerial Reconstructions via Probabilistic Data Fusion CVPR 2014 A Geometric take on Metric Learning NIPS 2012