Pinned Repositories
BASS
Bayesian Adaptive Superpixel Segmentation (ICCV 2019)
DeepDPM
"DeepDPM: Deep Clustering With An Unknown Number of Clusters" [Ronen, Finder, and Freifeld, CVPR 2022]
DeepMCBM
"A Deep Moving-camera Background Model" [Erez, Shapira Weber, and Freifeld, ECCV 2022]
DiTAC
Trainable Highly-expressive Activation Functions. ECCV 2024
dpmmpython
Python wrapper for the DPMMSubCluster Julia package for inference in Dirichlet Process Mixture Models (High Performance Machine Learning Workshop 2019)
DPMMSubClusters.jl
Distributed MCMC Inference in Dirichlet Process Mixture Models (High Performance Machine Learning Workshop 2019)
dtan
Official PyTorch implementation for our NeurIPS 2019 paper, Diffeomorphic Temporal Alignment Nets. TensorFlow\Keras version is available at tf_legacy branch.
pdc-dp-means
"Revisiting DP-Means: Fast Scalable Algorithms via Parallelism and Delayed Cluster Creation" [Dinari and Freifeld, UAI 2022]
RF-DTAN
Official PyTorch implementation for our upcoming ICML 2023 paper, Regularization-free Diffeomorphic Temporal Alignment Nets.
WTConv
Wavelet Convolutions for Large Receptive Fields. ECCV 2024.
BGU-CS-VIL's Repositories
BGU-CS-VIL/DeepDPM
"DeepDPM: Deep Clustering With An Unknown Number of Clusters" [Ronen, Finder, and Freifeld, CVPR 2022]
BGU-CS-VIL/WTConv
Wavelet Convolutions for Large Receptive Fields. ECCV 2024.
BGU-CS-VIL/BASS
Bayesian Adaptive Superpixel Segmentation (ICCV 2019)
BGU-CS-VIL/dtan
Official PyTorch implementation for our NeurIPS 2019 paper, Diffeomorphic Temporal Alignment Nets. TensorFlow\Keras version is available at tf_legacy branch.
BGU-CS-VIL/DeepMCBM
"A Deep Moving-camera Background Model" [Erez, Shapira Weber, and Freifeld, ECCV 2022]
BGU-CS-VIL/DiTAC
Trainable Highly-expressive Activation Functions. ECCV 2024
BGU-CS-VIL/DPMMSubClusters.jl
Distributed MCMC Inference in Dirichlet Process Mixture Models (High Performance Machine Learning Workshop 2019)
BGU-CS-VIL/RF-DTAN
Official PyTorch implementation for our upcoming ICML 2023 paper, Regularization-free Diffeomorphic Temporal Alignment Nets.
BGU-CS-VIL/dpmmpython
Python wrapper for the DPMMSubCluster Julia package for inference in Dirichlet Process Mixture Models (High Performance Machine Learning Workshop 2019)
BGU-CS-VIL/SpaceJAM
SpaceJAM: a Lightweight and Regularization-free Method for Fast Joint Alignment of Images (ECCV 2024)
BGU-CS-VIL/pdc-dp-means
"Revisiting DP-Means: Fast Scalable Algorithms via Parallelism and Delayed Cluster Creation" [Dinari and Freifeld, UAI 2022]
BGU-CS-VIL/JA-POLS
Moving-camera background model (a CVPR '20 paper)
BGU-CS-VIL/dpmmpythonStreaming
Python wrapper for the DPMMSubClusterStreaming.jl Julia package.
BGU-CS-VIL/Training-Free-VOS
"From ViT Features to Training-free Video Object Segmentation via Streaming-data Mixture Models" [Uziel, Dinari, and Freifeld, NeurIPS 2023]
BGU-CS-VIL/vmdls
"Variational- and Metric-based Deep Latent Space for Out-of-Distribution Detection" [Dinari and Freifeld, UAI 2022]
BGU-CS-VIL/DPMMSubClusters_GPU
DPMM Sub Clusters C++ on GPU Cross Platforms (Windows & Linux)
BGU-CS-VIL/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"
BGU-CS-VIL/fastScsp
A Fast Method for Inferring High-Quality Simply-Connected Superpixels (ICIP 2015)
BGU-CS-VIL/DPMMSubClustersStreaming.jl
Code for our AISTATS '22 paper "Sampling in Dirichlet Process Mixture Models for Clustering Streaming Data"
BGU-CS-VIL/CDTNCA
BGU-CS-VIL/dpgmm_splitnet
BGU-CS-VIL/Python-OpenCV-Tutorial
BGU-CS-VIL/UMAT
BGU-CS-VIL/CV192_python_tutorial
BGU-CS-VIL/gaussiansplashingUW.github.io
A fast underwater 3D reconstruction method, that accounts for light attenuation and backscattering.
BGU-CS-VIL/VersatileHDPMixtureModels