OatmealLiu

Mingxuan Liu - Miu's repositories

class-iNCD

PyTorch implementation for the paper Class-incremental Novel Class Discovery (ECCV 2022)

Language:Python64 4 9

FineR

[ICLR'24] Democratizing Fine-grained Visual Recognition with Large Language Models

Language:PythonApache-2.03200

MSc-iNCD

[ICPR'24] Large-scale Pre-trained Models are Surprisingly Strong in Incremental Novel Class Discovery

Language:PythonMIT18 30

Point-cloud-registration_RPA-project

A comparison of using different feature descriptors (SI, SIFT, SHOT, CSHOT, FPFH) and different keypoints detection algorithm (SIFT3D, ISS3D) on point cloud registration (RANSAC + ICP).

Language:C++1600

orb_slam3_ros_tube

A ROS wrapper for ORB-SLAM-3 framework. The aim of this wrapper is to subscribe and publish the needed topics in ROS for downstream aglorithms.

Language:C++400

BirdCheetah-Leg_Design-Modeling-Simulation-DropTest

This repository contains the design of a lightweight robotic leg for research purposes and the Maple modeling and simulation of it. In this repository, you can find the mathematical principle and methods for the modeling and simulation of the kinematics, dynamics and drop test of the designed leg.

Language:Python200

DGLN-model-for-Person-Re-ID-with-frozen-learning

A parallel CNN architecture - Discriminative-Global- Local Network (DGLN) to exploit both the discriminative structural information at global scope and the discriminative human-introduced local infomration at local level for improvement of re-id task with frozen learning technique.

Language:PythonBSD-2-Clause200

Industrial-Robotics_Modeling-Simulation-Control

This folder focuses on Industrial Robotics study and work

2 10

Unity_RGB-D_Camera

This is a virtual RGB-D Camera developed in Unity to generate RGB-D point cloud data (.pcd) for experimental purpose. You can import the package (source code included) and use it directly in Unity. Then, you can attach the camera on any Unity Object (a car, a drone or a cat :). Also, you can play with the parameters of the camera, like noises, RGB info or not, FOV, etc. There is a quick start .PDF in the repo. to help you get started. Have fun :)

Language:Python2 10