robin-karlsson0

Robin Karlsson's repositories

dslp

Code to reproduce results in the paper "Learning to Predict Navigational Patterns from Partial Observations" (RA-L 2023)

Language:PythonGPL-3.012 10

perspective_mapping

Demonstration of applying direct and inverse perspective mapping to generate a top-down camera view

Language:Jupyter NotebookGPL-3.012 1 2

predictive-world-models

Code accompanying the paper "Predictive World Models from Real-World Partial Observations" (MOST 2023)

Language:PythonGPL-3.05 10

mmdetection3d

OpenMMLab's next-generation platform for general 3D object detection.

Language:PythonApache-2.0400

pc-accumulation-lib

Library for temporal accumulation of semantic point clouds generated from image and lidar senor data

Language:PythonGPL-3.04 10

vice

ViCE: Improving Dense Representation Learning by Superpixelization and Contrasting Cluster Assignment

Language:Jupyter NotebookGPL-3.0400

alpha_precision_and_recall

Computes the Alpha Precision and Recall metric for evaluating sample quality and diversity of generative models.

Language:PythonGPL-3.02 10

conditional-vae

Conditional VAE experiment code in PyTorch Lightning

Language:PythonGPL-3.01 10

osqp_cpp_interface

Native C++ interface for the OSQP solver

Language:CGPL-3.01 10

variational_bayes_models

Library implementing the linear and logistic variational Bayes models as formulated in PRML and other sources

Language:Jupyter NotebookGPL-3.01 10

vdvae

Repository for the paper "Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images"

Language:Python100

A collection of examples demonstrating the elegance and merits of representing model output and priors as probabilistic distributions, which can be integrated in a principled way using Bayes' theorem.

Language:Jupyter NotebookGPL-3.0010

filtering-algorithms

A collection of filtering algorithms implemented as Jupyter notebooks

Language:Jupyter NotebookGPL-3.0000

gmap-road-bev-generator

Google Maps Road BEV Generator

Language:PythonGPL-3.0000

graph-search-algorithms

Collection of graph search algorithms and auxiliary functions

Language:Jupyter Notebook020

lat_var_bev_pred_model

Latent variable BEV prediction model

Language:PythonGPL-3.0010

mmdetection

OpenMMLab Detection Toolbox and Benchmark

Language:PythonApache-2.0000

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

Language:PythonApache-2.0000

packnet-sfm

TRI-ML Monocular Depth Estimation Repository

Language:PythonMIT000

PiCIE

PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in clustering (CVPR2021)

Language:Jupyter NotebookMIT000

Pseudo_Lidar_V2

(ICLR) Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving

Language:PythonMIT000

pytorch-CycleGAN-and-pix2pix

Image-to-Image Translation in PyTorch

NOASSERTION000

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

MIT000

rainfall_modeling_open_fix

Code to reproduce results in the paper 'Probabilistic Rainfall Estimation from Automotive Lidar'

Language:PythonGPL-3.0000

rloss

Regularized Losses (rloss) for Weakly-supervised CNN Segmentation

Language:Jupyter NotebookMIT000

road_lane_network_graph_open

Code to reproduce results in the paper "Learning a Model for Inferring a Spatial Road Lane Network Graph using Self-Supervision" (ITSC 2021)

Language:PythonGPL-3.0000

STEGO

Unsupervised Semantic Segmentation by Distilling Feature Correspondences

Language:Jupyter NotebookMIT000

vbmm

Variational inference for Gaussian mixture models

Language:Python000

vision

Datasets, Transforms and Models specific to Computer Vision

Language:Jupyter NotebookBSD-3-Clause000

ViT-Adapter

[ICLR 2023 Spotlight] Vision Transformer Adapter for Dense Predictions

Language:PythonApache-2.0000