Stars
OneShot Learning-based hotword detection.
Project the PointCloud to the image & Generate the LiDAR PointCloud with color.
[RA-L 2022] An efficient and probabilistic adaptive voxel mapping method for LiDAR odometry
This repo is an extended version of livox_camera_calib(hku-mars/livox_camera_calib), which is suitable for spinning LiDAR。
PyTorch code and models for the DINOv2 self-supervised learning method.
LiDAR-Inertial Odometry via Simultaneous Ego-motion Estimation and Multiple Object Tracking (ICRA 2023)
[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
[CVPR2023] NeRF-RPN: A general framework for object detection in NeRFs
Official repo for consistency models.
Teaching robots to respond to open-vocab queries with CLIP and NeRF-like neural fields
[ICRA2023] Implementation of Visual Language Maps for Robot Navigation
Robust Speech Recognition via Large-Scale Weak Supervision
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
On-device wake word detection powered by deep learning
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
Algorithms and Publications on 3D Object Tracking
A toolbox for target-less LiDAR-camera calibration [ROS1/ROS2]
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.
Baseline model for "GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping" (CVPR 2020)
This repository contains the code of the CVPR 2022 paper "Image Segmentation Using Text and Image Prompts".
Language-Driven Semantic Segmentation
A graph-based multi-sensor fusion framework. It can be used to fuse various relative or absolute measurments with IMU readings in real-time.
Deep Object Pose Estimation (DOPE) – ROS inference (CoRL 2018)