chreisinger
PhD Student, Technical University of Graz Artifficial Intelligence | Computer Vision | Autonomous Driving
Graz, Austria
chreisinger's Stars
comfyanonymous/ComfyUI
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
viraptor/reverse-interview
Questions to ask the company during your interview
ge25nab/Awesome-VLM-AD-ITS
This repository collects research papers of large Vision Language Models in Autonomous driving and Intelligent Transportation System. The repository will be continuously updated to track the latest update.
davezdeng8/rsf
Code for "RSF: Optimizing Rigid Scene Flow From 3D Point Clouds Without Labels"
BraveGroup/PointSAM-for-MixSup
Codes for ICLR 2024: "MixSup: Mixed-grained Supervision for Label-efficient LiDAR-based 3D Object Detection"
vacany/sac-flow
Repository for Regularizing Self-supervised 3D Scene Flows with Surface Awareness and Cyclic Consistency
mxtsai/ransac-nn
Official Implementation of the RANSAC-NN Algorithm
uchiyamalab/depth_clustering_py
Fast and robust clustering of point clouds, ported from https://github.com/PRBonn/depth_clustering to Python with Numba.
PRBonn/depth_clustering
:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.
PJLab-ADG/OpenPCSeg
OpenPCSeg: Open Source Point Cloud Segmentation Toolbox and Benchmark
pybind/cmake_example
Example pybind11 module built with a CMake-based build system
PJLab-ADG/3DTrans
An open-source codebase for exploring autonomous driving pre-training
PRBonn/TARL
[CVPR'23] TARL: Temporal Consistent 3D LiDAR Representation Learning for Semantic Perception in Autonomous Driving
vLAR-group/OGC
🔥OGC in PyTorch (NeurIPS 2022 & TPAMI 2024)
malicd/sailor
ajedgley/ReBound
ReBound is an open-source, LiDAR visualization and annotation tool to assist active-learning systems involved in autonomous vehicles
rapidsai/cuml
cuML - RAPIDS Machine Learning Library
argoverse/av2-api
Argoverse 2: Next generation datasets for self-driving perception and forecasting.
itailang/SCOOP
Self-Supervised Correspondence and Optimization-Based Scene Flow (CVPR 2023)
thuml/Transfer-Learning-Library
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
MaxChanger/awesome-point-cloud-scene-flow
A list of point cloud scene flow papers, codes and datasets.
google/latexify_py
A library to generate LaTeX expression from Python code.
yinjunbo/ProposalContrast
This repository contains the PyTorch implementation of the ECCV'2022 paper, ProposalContrast: Unsupervised Pre-training for LiDAR-based 3D Object Detection.
IRMVLab/3DFlow
Codes for ECCV2022 paper "What matters in supervised 3D scene flow"
cwc1260/BiFlow
haomo-ai/MotionSeg3D
[IROS 2022] Efficient Spatial-Temporal Information Fusion for LiDAR-Based 3D Moving Object Segmentation
prs-eth/PCAccumulation
[ECCV 2022] Dynamic 3D Scene Analysis by Point Cloud Accumulation
tolgabirdal/Mitsuba2PointCloudRenderer
rendering (optionally temporal) point clouds using Mitsuba2
jsleb333/python2latex
The Python to LaTeX converter
mercedes-benz/selfsupervised_flow
Code for Paper "Self-Supervised LiDAR Scene Flow and Motion Segmentation"