Caffe: a fast open framework for deep learning.

Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.

Code release for Local Light Field Fusion at SIGGRAPH 2019

Caffe on both Linux and Windows

[CVPR 2024] GaussianEditor: Swift and Controllable 3D Editing with Gaussian Splatting

Caffe implementation of multiple popular object detection frameworks

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

[CVPR 2024 Highlight] Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields

Caffe for Sparse and Low-rank Deep Neural Networks

Caffe for Sparse Convolutional Neural Network

Lisa Anne's public caffe code.

Unsupervised Learning using Videos (ICCV 2015)

Code for the NeurIPS 2019 paper: Topology-Preserving Deep Image Segmentation

Caffe

Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.

The source code of "single-reference color transfer" in "Progressive Color Transfer with Dense Semantic Correspondences".

MATLAB wrapper for Efficient Inference in Fully Connected CRF

An object detection architecture combines the advantage of SSD and Faster-RCNN.

Implemenation of the paper: "Video Segmentation via Object Flow", Y.-H. Tsai, M.-H. Yang and M. J. Black, CVPR 2016

Package containing helper functions for loading and evaluating DAVIS

mean field based inference for dense semantic video segmentation with higher order clique potentials (Pn Potts model)