[IEEE T-PAMI 2024] All you need for End-to-end Autonomous Driving

Paper list in the survey paper: Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis

Adjoint-Equivariant Neural Network for Semi-Simple Lie Algebras

[CVPR 2024] Real-Time Open-Vocabulary Object Detection

A Python Graph Matching Toolkit.

Uncertainty-aware representation learning (URL) benchmark

MATLAB code accompanying the paper "Robust Single Rotation Averaging Revisited"

Chordal flag averaging and its applications

An open source platform for visual-inertial navigation research.

Python package for the evaluation of odometry and SLAM

A curated list of Object SLAM papers and resources

post dive processing script for NDSF

A volumetric object-level semantic mapping framework.

Segmentation Networks with Uncertainty

[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

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.

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Semantic Segmentation of Underwater Imagery: Dataset and Benchmark

Saliency-guided Visual Attention Modeling. #RSS2022 #SOD #RobotVision

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

A Smooth Representation of SO(3) for Deep Rotation Learning with Uncertainty.

Pytorch implementation of NeurIPS 2021 paper: Geometry Processing with Neural Fields.

Links and utilities for MIMIR dataset

A collaboration friendly studio for NeRFs

A curated list of Object SLAM papers and resources

A curated list of resources on implicit neural representations.

[RAL 2022] SE(3)-Transformation on Neural Implicit Maps for Remapping Functions (NIM Remapping = NIM-REM)

An invigorating blend of 3D geometry tools in Python.

[ICCV 2021 Oral] Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation

Official implementation of "Implicit Neural Representations with Periodic Activation Functions"