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Brian A. Millikan, Ph.D.'s Projects

lion icon lion

Latent Point Diffusion Models for 3D Shape Generation

lossless-data-compression-using-lempel-ziv-welch-lzw-algorithm icon lossless-data-compression-using-lempel-ziv-welch-lzw-algorithm

The Lempel–Ziv–Welch (LZW) algorithm is a lossless data compression algorithm. LZW is an adaptive compression algorithm that does not assume prior knowledge of the input data distribution. This algorithm works well when the input data is sufficiently large and there is redundancy in the data

neuralpci icon neuralpci

✨ [CVPR 2023] NeuralPCI: Spatio-temporal Neural Field for 3D Point Cloud Multi-frame Non-linear Interpolation

ot_3dep_workflows icon ot_3dep_workflows

Jupyter Notebook-based workflows for programmatically accessing, processing, and visualizing 3D Elevation Program (3DEP) lidar data

pointnet icon pointnet

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

points2grid icon points2grid

Points2Grid is a robust and scalable tool for gridding LIDAR point cloud data to generate Digital Elevation Models (DEM). Points2Grid uses a local gridding method to compute grid cell elevation using a neighborhood defined around each cell based on a search radius provided by the user.

rsbuilding icon rsbuilding

This is the pytorch implement of our paper "RSBuilding: Towards General Remote Sensing Image Building Extraction and Change Detection with Foundation Model"

spin_roadmapper icon spin_roadmapper

Official implementation of our ICRA'22 paper: SPIN Road Mapper: Extracting Roads from Aerial Images via Spatial and Interaction Space Graph Reasoning for Autonomous Driving

squeezesegv2 icon squeezesegv2

Implementation of SqueezeSegV2, Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud

usgs-lidar icon usgs-lidar

AWS Entwine Point Tiles USGS LiDAR Public Dataset GitHub repo

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