BGU-CS-VIL

BGU-CS-VIL's repositories

DeepDPM

"DeepDPM: Deep Clustering With An Unknown Number of Clusters" [Ronen, Finder, and Freifeld, CVPR 2022]

Language:PythonMIT738 9 59

BASS

Bayesian Adaptive Superpixel Segmentation (ICCV 2019)

Language:C++76 7 15

dtan

Official PyTorch implementation for our NeurIPS 2019 paper, Diffeomorphic Temporal Alignment Nets. TensorFlow\Keras version is available at tf_legacy branch.

Language:Jupyter NotebookMIT65 7 9

DeepMCBM

"A Deep Moving-camera Background Model" [Erez, Shapira Weber, and Freifeld, ECCV 2022]

Language:PythonMIT40 7 8

DPMMSubClusters.jl

Distributed MCMC Inference in Dirichlet Process Mixture Models (High Performance Machine Learning Workshop 2019)

Language:JuliaGPL-2.033 4 15

RF-DTAN

Official PyTorch implementation for our upcoming ICML 2023 paper, Regularization-free Diffeomorphic Temporal Alignment Nets.

Language:Jupyter NotebookMIT19 30

dpmmpython

Python wrapper for the DPMMSubCluster Julia package for inference in Dirichlet Process Mixture Models (High Performance Machine Learning Workshop 2019)

Language:PythonGPL-2.018 4 3

JA-POLS

Moving-camera background model (a CVPR '20 paper)

Language:C++MIT17 6 1

pdc-dp-means

"Revisiting DP-Means: Fast Scalable Algorithms via Parallelism and Delayed Cluster Creation" [Dinari and Freifeld, UAI 2022]

Language:PythonBSD-3-Clause16 2 1

dpmmpythonStreaming

Python wrapper for the DPMMSubClusterStreaming.jl Julia package.

Language:PythonMIT14 20

Training-Free-VOS

"From ViT Features to Training-free Video Object Segmentation via Streaming-data Mixture Models" [Uziel, Dinari, and Freifeld, NeurIPS 2023]

Language:PythonGPL-2.010 4 1

vmdls

"Variational- and Metric-based Deep Latent Space for Out-of-Distribution Detection" [Dinari and Freifeld, UAI 2022]

Language:PythonGPL-3.010 20

DPMMSubClusters_GPU

DPMM Sub Clusters C++ on GPU Cross Platforms (Windows & Linux)

Language:C++8 30

VersatileHDPMixtureModels.jl

Code for our UAI '20 paper "Scalable and Flexible Clustering of Grouped Data via Parallel and Distributed Sampling in Versatile Hierarchical Dirichlet Processes"

Language:JuliaMIT8 3 3

fastScsp

A Fast Method for Inferring High-Quality Simply-Connected Superpixels (ICIP 2015)

Language:C++NOASSERTION6 30

DPMMSubClustersStreaming.jl

Code for our AISTATS '22 paper "Sampling in Dirichlet Process Mixture Models for Clustering Streaming Data"

Language:JuliaMIT4 2 3

CDTNCA

Language:Jupyter NotebookMIT1 20

dpgmm_splitnet

Language:Jupyter Notebook1 30

Python-OpenCV-Tutorial

Language:Jupyter Notebook1 30

CV192_python_tutorial

030

UMAT

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VersatileHDPMixtureModels

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