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lsd_slam
LSD-SLAMtandem
[CoRL 21'] TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view StereoLDSO
DSO with SIM(3) pose graph optimization and loop closuredvo_slam
Dense Visual Odometry and SLAMfastfusion
Volumetric 3D Mapping in Real-Time on a CPUonline_photometric_calibration
Implementation of online photometric calibration (https://vision.in.tum.de/research/vslam/photometric-calibration)mono_dataset_code
Code for Monocular Visual Odometry Dataset - https://vision.cs.tum.edu/data/datasets/mono-datasettum_ardrone
Repository for the tum_ardrone ROS package, implementing autonomous flight with PTAM-based visual navigation for the Parrot AR.Drone.dvo
Dense Visual Odometryfusenet
This repository is the official release of the code for the following paper "FuseNet: Incorporating Depth into Semantic Segmentation via Fusion-based CNN Architecture" which is published at the 13th Asian Conference on Computer Vision (ACCV 2016).pnec
[CVPR 2022] README.md The Probabilistic Normal Epipolar Constraint for Frame-To-Frame Rotation Optimization under Uncertain Feature Positionscaptcha_recognition
intrinsic-neural-fields
[ECCV '22] Intrinsic Neural Fields: Learning Functions on Manifoldsdbatk
Distributed Bundle Adjustment Toolkitfastms
Real-Time Minimization of the Piecewise Smooth Mumford-Shah Functionalardrone_autonomy
This is a slightly modified version of the official ardrone_autonomy package, which You can find here: https://github.com/AutonomyLab/ardrone_autonomylearn_prox_ops
Implementation of "Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems"tum_simulator
prost
A fast and flexible convex optimization framework based on proximal splittingafs
Automatic Feature Selectionrgbd_scribble_benchmark
RGB-D Scribble-based Segmentation Benchmarkautonavx_ardrone
Code for AR.Drone Exercisesautonavx_web
interactive exercises for AUTONAVx coursesublabel_relax
Code for sublabel-accurate multi-labeling papers (published at CVPR '16, ECCV '16)csd_lmnn
Combined Spectral Descriptors and LMNN for non-rigid 3D shape retrievalrgbd_demo
Simple ROS demo for processing RGB-D datamem
Masked Event Modeling: Self-Supervised Pretraining for Event Cameras (WACV '24)kfusion_ros
ROS integration for kfusionopenni2_camera
OpenNI2 camera node for ROSarticulation
articulation modelsnnascg
Source code for experiments in paper "Deriving Neural Network Design and Learning from the Probabilistic Framework of Chain Graphs" by Yuesong Shen and Daniel Cremers.lgm
Implementation of Layered Graphical Model with demo codedca
Source code for the NeurIPS 2022 paper "Deep Combinatorial Aggregation"flbo
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