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18-rss-physicalmanipulation

Code supplement to the R:SS 2018 on Physical Manipulation

2019-nonnegative-sparse-coding

M Beyeler*, EL Rounds*, KD Carlson, N Dutt, JL Krichmar (2019). Neural correlates of sparse coding and dimensionality reduction. PLOS Computational Biology 15(6): e1006908. (*equal contribution)

adinfohrl

admm-csnet

Matlab code for ADMM-CSNet

alpaca

Code for "Meta-Learning Priors for Efficient Online Bayesian Regression" by James Harrison, Apoorva Sharma, and Marco Pavone

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.

arl-eegmodels

This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

awesome-action-recognition

A curated list of action recognition and related area resources

awesome-algorithm

Leetcode 题解 (跟随思路一步一步撸出代码) 及经典算法实现

awesome-cv

:page_facing_up: Awesome CV is LaTeX template for your outstanding job application

awesome-hand-pose-estimation

Awesome work on hand pose estimation/tracking

awesome-incremental-learning

Awesome Incremental Learning

awesome-matlab

A curated list of awesome Matlab frameworks, libraries and software.

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

awsome-domain-adaptation

A collection of AWESOME things about domian adaptation

bayes-pcca

bayesian_hilbert_maps

Mapping spatiotemporal patterns in an online and continuous fashion

bcpf

Matlab code of Bayesian CP Factorization for Tensor Completion

bensmaialab

Public Repository for Bensmaia Lab

binvox-rw-py

Python module to read and write .binvox files.

biotacsp-stability-set-v2

brtf

Matlab Code of Bayesian Robust Tensor Factorization

cleargrasp

Official repository for the paper "ClearGrasp: 3D Shape Estimation of Transparent Objects for Manipulation"

cnn_graph

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

collective-low-rank-subspace

convdiclearntensorfactor

Tensor methods have emerged as a powerful paradigm for consistent learning of many latent variable models such as topic models, independent component analysis and dictionary learning. Model parameters are estimated via CP decomposition of the observed higher order input moments. However, in many domains, additional invariances such as shift invariances exist, enforced via models such as convolutional dictionary learning. In this paper, we develop novel tensor decomposition algorithms for parameter estimation of convolutional models. Our algorithm is based on the popular alternating least squares method, but with efficient projections onto the space of stacked circulant matrices. Our method is embarrassingly parallel and consists of simple operations such as fast Fourier transforms and matrix multiplications. Our algorithm converges to the dictionary much faster and more accurately compared to the alternating minimization over filters and activation maps.

cs-video-courses

List of Computer Science courses with video lectures.

ctft

Python code used in NIPS 2017 paper: Fitting Low-Rank Tensors in Constant Time, by K. Hayashi and Y. Yoshida

cvpr2018-shape-completion

CVPR 2018 paper "Learning 3D Shape Completion from Laser Scan Data with Weak Supervision".

da

Unsupervised Domain Adaptation Papers and Code