Shishun Zhang (zss1995)

zss1995

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Company: Huazhong University of Science and Technology (HUST)

Location:Wuhan, China

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Shishun Zhang's repositories

ORB_SLAM2

Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

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pointnet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

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rgbdslam_v2

RGB-D SLAM for ROS

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3dmatch-toolbox

3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.

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ACMM

Multi-Scale Geometric Consistency Guided Multi-View Stereo

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Depth-VO-Feat

Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction

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dso

Direct Sparse Odometry

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HRL4IN

Code for CoRL 2019 paper: HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators

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labelImg

:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images

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mastering_ros

This repository contains exercise files of the book "Mastering ROS for Robotics Programming"

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mecheye_ros_interface

Official ROS interface for Mech-Eye cameras.

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mxnet-ssd

MXNet port of SSD: Single Shot MultiBox Object Detector. Reimplementation of https://github.com/weiliu89/caffe/tree/ssd

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netvlad

NetVLAD: CNN architecture for weakly supervised place recognition

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pl-slam

This code contains an algorithm to compute stereo visual SLAM by using both point and line segment features.

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Point-Set-Matching-Registration-Material

A list of point set matching/registration resources collected by Gang Wang

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PR-Net

Non-Rigid Point Set Registration Networks

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ProLoNets

Public implementation of "Encoding Human Domain Knowledge to Warm Start Reinforcement Learning" from AAAI'21

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raps

[NeurIPS 2021] PyTorch Code for Accelerating Robotic Reinforcement Learning with Parameterized Action Primitives

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rgbd-slam-tutorial-gx

code for the rgbd-slam tutorial written in cnblogs

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rosdistro

This repo maintains a lists of repositories for each ROS distribution

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SfMLearner

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

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SGA18_orientation_BCICP_code

code for paper "Continuous and Orientation-preserving Correspondence via Functional Maps"

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SGA18_orientation_BCICP_dataset

Datasets tested in the paper "Continuous and Orientation-preserving Correspondence via Functional Maps"

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stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

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STM32F429_Discovery_FreeRTOS_9

STM32F429_Discovery_FreeRTOS_9 Demo

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Unsupervised_DeepFunctionalMaps

An unsupervised approach to Deep Functional Maps

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