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blevins's Projects

3d_model_retriever icon 3d_model_retriever

Experimenting with a newly published deep learning paper and how it can be used for content-based 3D model retrieval. (info retrieval for CAD)

3dvisualizer icon 3dvisualizer

Highly interactive application for visualization and analysis of 3D multivariate gridded data, such as produced by finite element method (FEM) simulations, confocal microscopy, serial sectioning, computerized axial tomography (CAT) scans, or magnetic resonance imaging (MRI) scans

adversarial icon adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

algorithm_interview_notes-chinese icon algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

apc-vision-toolbox icon apc-vision-toolbox

MIT-Princeton Vision Toolbox for the Amazon Picking Challenge 2016 - RGB-D ConvNet-based object segmentation and 6D object pose estimation.

arc-robot-vision icon arc-robot-vision

MIT-Princeton Vision Toolbox for Robotic Pick-and-Place at the Amazon Robotics Challenge 2017 - Robotic Grasping and One-shot Recognition of Novel Objects with Deep Learning.

cartographer icon cartographer

Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.

deep_gcns_torch icon deep_gcns_torch

Pytorch Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://www.deepgcns.org

densefusion icon densefusion

"DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion" code repository

depth-completion icon depth-completion

Official pytorch implementation of "Indoor Depth Completion with Boundary Consistency and Self-Attention. Huang et al. RLQ@ICCV 2019."

deye icon deye

Keep an Eye on Defects Inspection.

dgl icon dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

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