Computer Vision and Learning Lab (vislearn)

Computer Vision and Learning Lab

vislearn

Geek Repo

Location:Heidelberg, Germany

Home Page:https://hci.iwr.uni-heidelberg.de/vislearn/

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Computer Vision and Learning Lab's repositories

FrEIA

Framework for Easily Invertible Architectures

Language:PythonLicense:MITStargazers:750Issues:19Issues:101
Language:PythonLicense:Apache-2.0Stargazers:430Issues:17Issues:26

ngransac

Neural-Guided RANSAC for Estimating Epipolar Geometry from Sparse Correspondences

Language:PythonLicense:BSD-3-ClauseStargazers:304Issues:14Issues:22

LessMore

Learning Less is More - 6D Camera Localization via 3D Surface Regression

Language:C++License:BSD-3-ClauseStargazers:258Issues:15Issues:28

dsacstar

DSAC* for Visual Camera Re-Localization (RGB or RGB-D)

Language:C++License:BSD-3-ClauseStargazers:241Issues:6Issues:31

DSACLine

Differentiable RANSAC: Learning Robust Line Fitting

Language:PythonLicense:BSD-3-ClauseStargazers:218Issues:10Issues:2

conditional_INNs

Code for the paper "Guided Image Generation with Conditional Invertible Neural Networks" (2019)

analyzing_inverse_problems

Code for the paper "Analyzing inverse problems with invertible neural networks." (2018)

Language:Jupyter NotebookStargazers:83Issues:4Issues:10

esac

ESAC - Expert Sample Consensus Applied To Camera Re-Localization

Language:C++License:BSD-3-ClauseStargazers:68Issues:6Issues:7

ngdsac_camreloc

Neural-Guided, Differentiable RANSAC for Camera Re-Localization (NG-DSAC++)

Language:C++License:BSD-3-ClauseStargazers:48Issues:7Issues:4

IB-INN

Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)

FFF

Free-form flows are a generative model training a pair of neural networks via maximum likelihood

Language:Jupyter NotebookLicense:MITStargazers:35Issues:4Issues:3

ngdsac_horizon

Neural-Guided, Differentiable RANSAC for Horizon Line Estimation

Language:PythonLicense:BSD-3-ClauseStargazers:33Issues:6Issues:5

GIN

Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)

Language:PythonLicense:MITStargazers:32Issues:3Issues:1

HINT

Code for the research paper "HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference".

Language:PythonLicense:MITStargazers:19Issues:2Issues:2

trustworthy_GCs

Materials for the paper https://arxiv.org/pdf/2007.15036.pdf

3dcv-students

Exercises for the lecture "Computer Vision: 3D Reconstruction"

Language:Jupyter NotebookLicense:MITStargazers:11Issues:3Issues:0

inn_toy_data

Code for artificial toy data sets used to evaluate (conditional) invertible neural networks and related methods

Language:PythonLicense:MITStargazers:11Issues:2Issues:0

gmbench

Code for “A Comparative Study of Graph Matching Algorithms in Computer Vison” (ECCV 2022)

Language:HTMLLicense:MITStargazers:8Issues:2Issues:0

ML-Tutorial

Introduction to Machine Learning using scikit-learn and PyTorch

Language:Jupyter NotebookStargazers:8Issues:2Issues:0

MLAE

Maximum Likelihood Training of Autoencoders

Language:Jupyter NotebookLicense:MITStargazers:8Issues:5Issues:0

libct

A fast approximate primal-dual solver for tracking-by-assignment cell-tracking problems

Language:C++License:MITStargazers:5Issues:2Issues:1

combilp

Exact MAP-Inference by Confining Combinatorial Search with LP Relaxation

Language:PythonLicense:MITStargazers:4Issues:3Issues:0

libmpopt

Library for Message Passing Optimization Techniques

Language:C++License:MITStargazers:4Issues:3Issues:2

Gaussianization-Bound

Code to paper "On the Convergence Rate of Gaussianization with Random Rotations"

Language:PythonStargazers:3Issues:4Issues:0

multi-matching-optimization

Library to solve (multi-)graph matching problems.

Language:C++License:GPL-3.0Stargazers:0Issues:0Issues:0
Language:Jupyter NotebookStargazers:0Issues:0Issues:0

FrEIA-community

Community-driven effort to improve and extend FrEIA

Stargazers:0Issues:5Issues:10

tkr-graphmatching

Dual decomposition based graph matching solver by Torresani, Kolmogorov and Rother

Language:ElixirStargazers:0Issues:2Issues:0