Panasonic Corporation of North America

∙ Kadoma-shi , United States ∙ 0 followers

Panasonic Manufacturing Philippines Corporation is a Philippines-based manufacturer, importer and distributor of electronic, electrical, mechanical, electro-mechanical appliances, other types of machinery, parts and components, battery and other related products bearing the Panasonic brand. The Company's segments include Global Consumer Marketing Sector (GCMS), SSG, ES and Others. Its GCMS segment includes audio, video related to selling products for media and entertainment industry. Its GCMS segment also includes home appliance and household equipment related to selling for household consumers. Its SSG segment includes office automation equipment, such as telecommunication products, security system and projectors related to selling for business consumers. Its Others segment includes supermarket refrigeration, such as cold room, showcase and bottle coolers related to selling to supermarkets and groceries. Its Others segment also includes solar panel, which is a project-based selling.

Smart Home Appliances: Chat with Your Fridge

Current home appliances are capable to execute a limited number of voice...
12/19/2019 ∙ by Denis Gudovskiy, et al. ∙ 20 ∙ share

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Multi-person Pose Tracking using Sequential Monte Carlo with Probabilistic Neural Pose Predictor

It is an effective strategy for the multi-person pose tracking task in v...
09/16/2019 ∙ by Masashi Okada, et al. ∙ 8 ∙ share

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Variational Inference MPC for Bayesian Model-based Reinforcement Learning

In recent studies on model-based reinforcement learning (MBRL), incorpor...
07/08/2019 ∙ by Masashi Okada, et al. ∙ 6 ∙ share

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Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures

Generative models have achieved impressive results in many domains inclu...
09/03/2019 ∙ by Jordan Hoffmann, et al. ∙ 6 ∙ share

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Compressed Volumetric Heatmaps for Multi-Person 3D Pose Estimation

In this paper we present a novel approach for bottom-up multi-person 3D ...
04/01/2020 ∙ by Matteo Fabbri, et al. ∙ 4 ∙ share

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Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation

How can a delivery robot navigate reliably to a destination in a new off...
10/16/2017 ∙ by Wei Gao, et al. ∙ 0 ∙ share

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ShiftCNN: Generalized Low-Precision Architecture for Inference of Convolutional Neural Networks

In this paper we introduce ShiftCNN, a generalized low-precision archite...
06/07/2017 ∙ by Denis A. Gudovskiy, et al. ∙ 0 ∙ share

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On the Model Shrinkage Effect of Gamma Process Edge Partition Models

The edge partition model (EPM) is a fundamental Bayesian nonparametric m...
09/26/2017 ∙ by Iku Ohama, et al. ∙ 0 ∙ share

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Path Integral Networks: End-to-End Differentiable Optimal Control

In this paper, we introduce Path Integral Networks (PI-Net), a recurrent...
06/29/2017 ∙ by Masashi Okada, et al. ∙ 0 ∙ share

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Towards Deep Neural Network Architectures Robust to Adversarial Examples

Recent work has shown deep neural networks (DNNs) to be highly susceptib...
12/11/2014 ∙ by Shixiang Gu, et al. ∙ 0 ∙ share

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Neural Person Search Machines

We investigate the problem of person search in the wild in this work. In...
07/21/2017 ∙ by Hao Liu, et al. ∙ 0 ∙ share

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Video-based Person Re-identification with Accumulative Motion Context

Video based person re-identification plays a central role in realistic s...
01/01/2017 ∙ by Hao Liu, et al. ∙ 0 ∙ share

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Similarity Mapping with Enhanced Siamese Network for Multi-Object Tracking

Multi-object tracking has recently become an important area of computer ...
09/28/2016 ∙ by Minyoung Kim, et al. ∙ 0 ∙ share

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Disentangling Controllable and Uncontrollable Factors of Variation by Interacting with the World

We introduce a method for disentangling independently controllable and u...
04/19/2018 ∙ by Yoshihide Sawada, et al. ∙ 0 ∙ share

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DNN Feature Map Compression using Learned Representation over GF(2)

In this paper, we introduce a method to compress intermediate feature ma...
08/15/2018 ∙ by Denis A. Gudovskiy, et al. ∙ 0 ∙ share

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Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition

Despite the remarkable progress in face recognition related technologies...
09/02/2018 ∙ by Jian Zhao, et al. ∙ 0 ∙ share

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Explain to Fix: A Framework to Interpret and Correct DNN Object Detector Predictions

Explaining predictions of deep neural networks (DNNs) is an important an...
11/19/2018 ∙ by Denis Gudovskiy, et al. ∙ 0 ∙ share

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Domain-Adversarial and -Conditional State Space Model for Imitation Learning

State representation learning (SRL) in partially observable Markov decis...
01/31/2020 ∙ by Ryo Okumura, et al. ∙ 0 ∙ share

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Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision

Active learning (AL) aims to minimize labeling efforts for data-demandin...
03/01/2020 ∙ by Denis Gudovskiy, et al. ∙ 0 ∙ share

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PlaNet of the Bayesians: Reconsidering and Improving Deep Planning Network by Incorporating Bayesian Inference

In the present paper, we propose an extension of the Deep Planning Netwo...
03/01/2020 ∙ by Masashi Okada, et al. ∙ 0 ∙ share

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Graph Convolutional Network-based Suspicious Communication Pair Estimation for Industrial Control Systems

Whitelisting is considered an effective security monitoring method for n...
07/17/2020 ∙ by Tatsumi Oba, et al. ∙ 0 ∙ share

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Dreaming: Model-based Reinforcement Learning by Latent Imagination without Reconstruction

In the present paper, we propose a decoder-free extension of Dreamer, a ...
07/29/2020 ∙ by Masashi Okada, et al. ∙ 0 ∙ share

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Panasonic Corporation of North America

Featured Researchers

Yan Xu

Shixiang Gu

Luca Rigazio

Shengmei Shen

Masashi Okada

Sugiri Pranata

Yi Cheng

Alec Hodgkinson

Yoshihide Sawada

Denis Gudovskiy

Takuya Yamaguchi

Smart Home Appliances: Chat with Your Fridge

Multi-person Pose Tracking using Sequential Monte Carlo with Probabilistic Neural Pose Predictor

Variational Inference MPC for Bayesian Model-based Reinforcement Learning

Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures

Compressed Volumetric Heatmaps for Multi-Person 3D Pose Estimation

Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation

ShiftCNN: Generalized Low-Precision Architecture for Inference of Convolutional Neural Networks

On the Model Shrinkage Effect of Gamma Process Edge Partition Models

Path Integral Networks: End-to-End Differentiable Optimal Control

Towards Deep Neural Network Architectures Robust to Adversarial Examples

Neural Person Search Machines

Video-based Person Re-identification with Accumulative Motion Context

Similarity Mapping with Enhanced Siamese Network for Multi-Object Tracking

Disentangling Controllable and Uncontrollable Factors of Variation by Interacting with the World

DNN Feature Map Compression using Learned Representation over GF(2)

Look Across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition

Explain to Fix: A Framework to Interpret and Correct DNN Object Detector Predictions

Domain-Adversarial and -Conditional State Space Model for Imitation Learning

Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision

PlaNet of the Bayesians: Reconsidering and Improving Deep Planning Network by Incorporating Bayesian Inference

Graph Convolutional Network-based Suspicious Communication Pair Estimation for Industrial Control Systems

Dreaming: Model-based Reinforcement Learning by Latent Imagination without Reconstruction