Wanqiang Liu's repositories
PALM-E
Implementation of "PaLM-E: An Embodied Multimodal Language Model"
MuHDi
Official PyTorch implementation of "Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation"
deepin-wine
【deepin源移植】Debian/Ubuntu上最快的QQ/微信安装方式
numpy-ml
Machine learning, in numpy
dd3d
Official PyTorch implementation of DD3D: Is Pseudo-Lidar needed for Monocular 3D Object detection? (ICCV 2021), Dennis Park*, Rares Ambrus*, Vitor Guizilini, Jie Li, and Adrien Gaidon.
Learning-Deep-Learning
Paper reading notes on Deep Learning and Machine Learning
3D-Detection-Tracking-Viewer
3D detection and tracking viewer for kitti & waymo dataset
visualDet3D
Official Repo for Ground-aware Monocular 3D Object Detection for Autonomous Driving / YOLOStereo3D: A Step Back to 2D for Efficient Stereo 3D Detection
Lidar-Segementation
An implementation on "Curved-Voxel Clustering for Accurate Segmentation of 3D LiDAR Point Clouds with Real-Time Performance" from IROS 2019
Cam2BEV
TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.
EagerMOT
Official code for "EagerMOT: 3D Multi-Object Tracking via Sensor Fusion" [ICRA 2021]
trt-samples-for-hackathon-cn
Simple samples for TensorRT programming
pcl-learning
🔥PCL（Point Cloud Library）点云库学习记录
LIDAR-Segmentation-Based-on-Range-Image
This is a lidar segmentation method based on range image.
yolov5
YOLOv5 in PyTorch > ONNX > CoreML > TFLite
JRMOT_ROS
Source code for JRMOT: A Real-Time 3D Multi-Object Tracker and a New Large-Scale Dataset
CenterFusion
CenterFusion: Center-based Radar and Camera Fusion for 3D Object Detection
singleshotpose
This research project implements a real-time object detection and pose estimation method as described in the paper, Tekin et al. "Real-Time Seamless Single Shot 6D Object Pose Prediction", CVPR 2018. (https://arxiv.org/abs/1711.08848).
algo
数据结构和算法必知必会的50个代码实现
Apollo-Note
Note for Apollo 3.0 perception, prediction and planning modules
SMOKE
SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation
CenterTrack
Simultaneous object detection and tracking using center points.
Yolov5_tf
Yolov5/Yolov4/ Yolov3/ Yolo_tiny in tensorflow
AB3DMOT
(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"
AutowareArchitectureProposal
This is the source code of the feasibility study for Autoware architecture proposal.
Dig-into-Apollo
Apollo notes (Apollo学习笔记) - Apollo learning notes for beginners.