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Name: Nils Morbitzer
Type: User
Bio: M.Sc. Informatics @ TUM
Nils Morbitzer's Projects
aot-benchmark
An efficient modular implementation of Associating Objects with Transformers for Video Object Segmentation in PyTorch
ase-delivery
A logistics system that consists of multiple microservices and a React frontend
dpt
Dense Prediction Transformers
horizontsensor
Calculate earth vector of given bmp file showing the earth
lenet5-mnist-pytorch
Implementation of the LeNet5 for MNIST classification as initial deep learning project.
manydepth
[CVPR 2021] Self-supervised depth estimation from short sequences
palette-image-to-image-diffusion-models
Unofficial implementation of Palette: Image-to-Image Diffusion Models by Pytorch
rectanglelocalization
An implementation of a CNN for simple rectangle localization.
relpose-plus-plus
Pip package for RelPose++: Recovering 6D Poses from Sparse-view Observations
robotcar-dataset-sdk
Pip package for the Software Development Kit for the Oxford Robotcar Dataset
robotcardataset-scraper
Downloads files matching patterns from the Oxford Robotcar Dataset website
rt3dcv-blog-article-spg
This is the repository that contains the blog article about SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation for the seminar Recent Trends in 3D Computer Vision (RT3DCV) at TUM.
seeingthroughfog
Pip package for the Software Development Kit for the DENSE dataset
segment-and-track-anything
An open-source project dedicated to tracking and segmenting any objects in videos, either automatically or interactively. The primary algorithms utilized include the Segment Anything Model (SAM) for key-frame segmentation and Associating Objects with Transformers (AOT) for efficient tracking and propagation purposes.
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
sparf-forked
This is the official code release for SPARF: Neural Radiance Fields from Sparse and Noisy Poses [CVPR 2023-Highlight]
tiny-cuda-nn
Lightning fast C++/CUDA neural network framework
voxel-carving
This is the repository for the course project of the TUM course 3D scanning and motion capture.
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