Qingzhao Zhang's starred repositories
Deep-Video-Inpainting
Official pytorch implementation for "Deep Video Inpainting" (CVPR 2019)
E2E-ForgeryDetection
Code for "A Full-Image Full-Resolution End-to-End-Trainable CNN Framework for Image Forgery Detection"
AdvTrajectoryPrediction
Implementation of CVPR 2022 paper "On Adversarial Robustness of Trajectory Prediction for Autonomous Vehicles" https://arxiv.org/abs/2201.05057
Image_Forgery_Detection
Reproduced Code for Image Forgery Detection papers.
ManTraNet-pytorch
Implementation of the famous Image Manipulation\Forgery Detector "ManTraNet" in Pytorch
Image_manipulation_detection
Paper: CVPR2018, Learning Rich Features for Image Manipulation Detection
Tampering-Detection-and-Localization
Code for Paper "Image Forgery Detection and Localization via a Reliability Fusion Map"
ModelNet40-C
Repo for "Benchmarking Robustness of 3D Point Cloud Recognition against Common Corruptions" https://arxiv.org/abs/2201.12296
MultiAgentPerception
Official source code to CVPR'20 paper, "When2com: Multi-Agent Perception via Communication Graph Grouping"
3D-Points-on-Image
This repository implements a method to project points in 3D-space(collected from a Velodyne LiDAR) on to an image captured from a RGB Camera.
lidar_camera_calibration
Light-weight camera LiDAR calibration package for ROS using OpenCV and PCL (PnP + LM optimization)
EfficientPS
PyTorch code for training EfficientPS for Panoptic Segmentation
lattice_net
Fast Point Cloud Segmentation Using Permutohedral Lattices
PointFlowRenderer
Code for rendering the point cloud figures in paper: "PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows"
depth_clustering
:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.
Lidar_For_AD_references
A list of references on lidar point cloud processing for autonomous driving
Static-Program-Analysis-Book
Getting started with static program analysis. 静态程序分析入门教程。
dynamic-occupancy-grid-map
Implementation of "A Random Finite Set Approach for Dynamic Occupancy Grid Maps with Real-Time Application"
second.pytorch
SECOND for KITTI/NuScenes object detection