Oren Freifeld
29 papers · 2012–2026 · 7 venues · across top CS/AI venues
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🗺️ Taxonomy Completionist (42) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Machine Learning
(23)
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Keywords
bayesian nonparametrics
(3)
mixture model
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temporal alignment
(2)
diffeomorphic registration
(2)
video alignment
(2)
vision transformer
(2)
nonparametric clustering
(2)
dirichlet process
(2)
unsupervised learning
(2)
image transformation
(2)
metric learning
(2)
diffeomorphic transformation
(2)
mcmc sampling
(2)
joint alignment
(2)
riemannian manifold
(2)
representation learning
(2)
dirichlet process mixture model
(2)
principal component analysis
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transfer learning
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uncertainty modeling
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Papers
Cross-Instance Gaussian Splatting Registration via Geometry-Aware Feature-Guided Alignment
CVPR 2026
Clustering via Self-Supervised Diffusion
ICML 2025
Consistent Amortized Clustering via Generative Flow Networks
AISTATS 2025
Improving the Effective Receptive Field of Message-Passing Neural Networks
ICML 2025
Synchronization of Multiple Videos
ICCV 2025
TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning
ICML 2025
SpaceJAM: a Lightweight and Regularization-free Method for Fast Joint Alignment of Images
ECCV 2024
Trainable Highly-expressive Activation Functions
ECCV 2024
Wavelet Convolutions for Large Receptive Fields
ECCV 2024
From ViT Features to Training-free Video Object Segmentation via Streaming-data Mixture Models
NeurIPS 2023
Regularization-free Diffeomorphic Temporal Alignment Nets
ICML 2023
A Deep Moving-Camera Background Model
ECCV 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
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
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
Bayesian Adaptive Superpixel Segmentation
ICCV 2019
Diffeomorphic Temporal Alignment Nets
NeurIPS 2019
Deep Diffeomorphic Transformer Networks
CVPR 2018
Dreaming More Data: Class-dependent Distributions over Diffeomorphisms for Learned Data Augmentation
AISTATS 2016
A Dirichlet Process Mixture Model for Spherical Data
AISTATS 2015
Highly-Expressive Spaces of Well-Behaved Transformations: Keeping It Simple
ICCV 2015
Aerial Reconstructions via Probabilistic Data Fusion
CVPR 2014
A Mixture of Manhattan Frames: Beyond the Manhattan World
CVPR 2014
Model Transport: Towards Scalable Transfer Learning on Manifolds
CVPR 2014
A Geometric take on Metric Learning
NeurIPS 2012