Huangyh98

Huangyh98's Stars

• rohitrango/Image-Quilting-for-Texture-Synthesis

  An implementation of the Image Quilting for Texture Synthesis algorithm by Alexei A. Efros and Willian T. Freeman

  Language:Python9816

• WhoTHU/Adversarial_camou

  Language:Python232

• jjhuangcs/AdvINN

  Official Code of "Imperceptible Adversarial Attack via Invertible Neural Networks"

  Language:Python162

• THUYimingLi/backdoor-learning-resources

  A list of backdoor learning resources

  1k166

• fra31/sparse-imperceivable-attacks

  Sparse and Imperceivable Adversarial Attacks (accepted to ICCV 2019).

  Language:Python407

• hustvl/Vim

  [ICML 2024] Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

  Language:Python2.8k178

• git-disl/TOG

  Real-time object detection is one of the key applications of deep neural networks (DNNs) for real-world mission-critical systems. While DNN-powered object detection systems celebrate many life-enriching opportunities, they also open doors for misuse and abuse. This project presents a suite of adversarial objectness gradient attacks, coined as TOG, which can cause the state-of-the-art deep object detection networks to suffer from untargeted random attacks or even targeted attacks with three types of specificity: (1) object-vanishing, (2) object-fabrication, and (3) object-mislabeling. Apart from tailoring an adversarial perturbation for each input image, we further demonstrate TOG as a universal attack, which trains a single adversarial perturbation that can be generalized to effectively craft an unseen input with a negligible attack time cost. Also, we apply TOG as an adversarial patch attack, a form of physical attacks, showing its ability to optimize a visually confined patch filled with malicious patterns, deceiving well-trained object detectors to misbehave purposefully.

  Language:Jupyter Notebook12142

• Titou2222/calibration_pkg

  This repository contains the ROS2 package calibration_pkg which allows the user to calibrate a LiDAR with a camera.

  Language:Python51

• ros-drivers/velodyne

  ROS support for Velodyne 3D LIDARs

  Language:C++646642

• wangxizhe/velodyne_driver_ros2

  velodyne_driver on ROS2

  Language:C++3

• Deephome/Awesome-LiDAR-Camera-Calibration

  A Collection of LiDAR-Camera-Calibration Papers, Toolboxes and Notes

  913137

• MAminSFV/multi-sensor-FDII-health-forecasting-for-autonomous-vehicles

  An Extension of A2D2 dataset by Audi with augmented sensor faults and different degradation paths

  Language:Python43

• metadriverse/metadrive

  MetaDrive: Open-source driving simulator

  Language:Python726107

• decisionforce/pgdrive

  PGDrive: an open-ended driving simulator with infinite scenes from procedural generation

  Language:Python12716

• Farama-Foundation/HighwayEnv

  A minimalist environment for decision-making in autonomous driving

  Language:Python2.6k732

• THU-MIR/OpenCDA

  OpenCDA 是一个基于开放式协同仿真的研究/工程框架，集成了原型协同驾驶自动化工作流以及常规自动驾驶组件

  Language:Python1

• hyaline-wang/chemotaxis-swarm-algorithm

  2

• KJaebye/Drone-Swarm-Cooperative-Transport

  Implementation of the SWEVO paper: "Decentralised Aerial Swarm for Adaptive and Energy Efficient Transport of Unknown Loads".

  Language:C++91