Mitsubishi Electric Research Laboratories (MERL) (merlresearch)

Mitsubishi Electric Research Laboratories (MERL)

merlresearch

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Mitsubishi Electric Research Laboratories (MERL) is Mitsubishi Electric Corporation's North American research organization

Location:Cambridge, MA

Home Page:https://www.merl.com

Twitter:@merl_news

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Mitsubishi Electric Research Laboratories (MERL)'s repositories

PyRoboCOP

PyRoboCOP is a lightweight Python-based package for control and optimization of robotic systems described by nonlinear Differential Algebraic Equations (DAEs)

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FoldingNet

Code for FoldingNet based on Caffe for unsupervised deep learning on point clouds

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partial_gcnn

Source code accompanying the NeurIPS 2022 paper "Learning Partial Equivariances From Data"

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SOCKET

Code for MERL's ECCV 2022 paper on Cross-Modal Knowledge Transfer Without Task-Relevant Source Data

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PEAC

Source code for 2014 ICRA paper "Fast Plane Extraction in Organized Point Clouds Using Agglomerative Hierarchical Clustering"

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GODS

Generalized one-class learning using pairs of complementary classifiers

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KCNet

Kernel Correlation Network

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FRPC

Demonstrating how to use a graph based filter to conduct subsampling on an input point cloud

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hierarchical_music_separation

Source code for the ISMIR 2020 paper, "Hierarchical Musical Instrument Classification" by Ethan Manilow, Gordon Wichern, and Jonathan Le Roux.

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ROSETA

Robust Online Subspace Estimation and Tracking Algorithm for identifying and tracking a time-varying low dimensional subspace

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discriminative_subspace_pooling

Code implementing our ECCV 2018 paper: Discriminative Subspace Pooling Using Adversarial Noise

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GNIGAN

Gradient-based Nikaido-Isoda optimization

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InSeGAN-ICCV2021

InSeGAN: A Generative Approach to Segmenting Identical Instances in Depth Images

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kscore

PyTorch reimplementation of code from "Nonparametric Score Estimators" (Yuhao Zhou, Jiaxin Shi, Jun Zhu. https://arxiv.org/abs/2005.10099)

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PQP

Parallel Quadratic Programming for solving problems involving convex optimization

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RIDE

Robust Iterative Data Estimation for white-box adversarial defense via self-supervised data estimation

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JGU

Code for Joint Geodesic Upsampling algorithm described in 2013 CVPR paper "Joint Geodesic Upsampling of Depth Images"

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non-negative_dynamical_system

MATLAB source code for the ICASSP 2013 paper Non-negative Dynamical System with Application to Speech and Audio by Cédric Févotte, Jonathan Le Roux, and John R. Hershey.

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CISOR

Convergent Inverse Scattering using Optimization and Regularization for a systematic comparison between CISOR, SEAGLE, and other state-of-the-art methods on simulated data

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PCQM

Point Cloud Quality Metric for measuring the geometry distortion of point cloud compression

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SSTL

Semi-Supervised Transfer Learning to allow the use of unlabeled data to improve transfer learning

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