Dr-LingyunXu

SCNN-pytorch

Spatial CNN model in PyTorch use Cityscapes-dataset

A_star

Algorithms

Various algorithms used for the projects

ALI-Seq

Conv3D_CLSTM

Multimodal Gesture Recognition Using 3D Convolution and Convolutional LSTM

DCFNet

DCFNet: Discriminant Correlation Filters Network for Visual Tracking

Deeplab-Large-FOV

My Implementation of the deeplab_v1 (known as deeplab large fov)

Deeplab-pytorch

Deeplab for semantic segmentation tasks

fastfusion

Volumetric 3D Mapping in Real-Time on a CPU

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015.

ftc-object-detection

Object detection with machine learning for FTC!

GOTURN

Source code for paper: Learning to Track at 100 FPS with Deep Regression Networks, Held, et al. ECCV 2016

GPR_Competition

Dataset for MetaSLAM Challenge

kindr_ros

ROS wrappers for kindr

lantern

:zap: Open Internet for everyone. Lantern is a free desktop application that delivers fast, reliable and secure access to the open Internet for users in censored regions. It uses a variety of techniques to stay unblocked, including P2P and domain fronting. Lantern relies on users in uncensored regions acting as access points to the open Internet.

loam_velodyne

Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.

lucida

Speech and Vision Based Intelligent Personal Assistant

map_server

dynamic_server

maxtom.github.io

BLOG"S"GOLB

MOTBeyondPixels

Monocular multi-object tracking using simple and complementary 3D and 2D cues

MOTDT

Real-time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-identification

mx-rcnn

Parallel Faster R-CNN implementation with MXNet.

ompl

The Open Motion Planning Library (OMPL), mirror of:

part_bilinear_reid

Code for ECCV2018 paper: Part-Aligned Bilinear Representations for Person Re-Identification

reinforcement-learning-an-introduction

Python code for Reinforcement Learning: An Introduction

scnn_pytorch

Pytorch implementation of SCNN

sparse-voxel-octrees

CPU Sparse Voxel Octree Implementation

torch7

http://torch.ch

voxnet

3D/Volumetric Convolutional Neural Networks with Theano+Lasagne

vrep_ros_bridge

The main application of the plugin is to provide a communication interface between V-Rep and (ROS). The aim is to control the V-Rep simulation externally using ROS messages and ROS services.