Keisuke Maeda

发表

Deterioration level estimation via neural network maximizing category-based ordinally supervised multi-view canonical correlation

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2020, Multimedia Tools and Applications.

Important Scene Detection Of Baseball Videos Via Time-Lag Aware Deep Multiset Canonical Correlation Maximization

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2020, 2020 IEEE International Conference on Image Processing (ICIP).

Multi-feature Fusion Based on Supervised Multi-view Multi-label Canonical Correlation Projection

Miki Haseyama, Takahiro Ogawa, Sho Takahashi, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Estimation of Deterioration Levels of Transmission Towers via Deep Learning Maximizing Canonical Correlation Between Heterogeneous Features

Miki Haseyama, Takahiro Ogawa, Sho Takahashi, 2018, IEEE Journal of Selected Topics in Signal Processing.

Feature Integration Via Geometrical Supervised Multi-View Multi-Label Canonical Correlation For Incomplete Label Assignment

Miki Haseyama, Takahiro Ogawa, Sho Takahashi, 2020, 2020 IEEE International Conference on Image Processing (ICIP).

Estimation of User-Specific Visual Attention Considering Individual Tendency toward Gazed Objects

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2020, 2020 IEEE 9th Global Conference on Consumer Electronics (GCCE).

Numerical modeling of image discriminability for home storage and organization system on a smart device

Masamichi Shimosaka, Rui Fukui, Tomomasa Sato, 2013, UbiComp.

Supervised Fractional-Order Embedding Geometrical Multi-View CCA (SFGMCCA) for Multiple Feature Integration

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2020, IEEE Access.

Mvgan Maximizing Time-Lag Aware Canonical Correlation for Baseball Highlight Generation

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2020, 2020 IEEE International Conference on Multimedia & Expo Workshops (ICMEW).

[Papers] Interpretable Convolutional Neural Network Including Attribute Estimation for Image Classification

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2020, ITE Transactions on Media Technology and Applications.

Estimation of Person-Specific Visual Attention via Selection of Similar Persons

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2020, 2020 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan).

ZigBee based wireless indoor localization with sensor placement optimization towards practical home sensing*

Masamichi Shimosaka, Ryoma Kawajiri, Keisuke Maeda, 2016, Adv. Robotics.

2P2-D08 Development and Implement Control System of Bicycle-type Unmanned Vehicle

Takayuki Ikeda, Keisuke Maeda, 2008 .

Image classification for trend prediction based on integration of fNIRS and visual features

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2017, 2017 IEEE 6th Global Conference on Consumer Electronics (GCCE).

A Human-Centered Neural Network Model with Discriminative Locality Preserving Canonical Correlation Analysis for Image Classification

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

Distress classification of road structures via decision level fusion

Miki Haseyama, Takahiro Ogawa, Sho Takahashi, 2016, 2016 IEEE International Conference on Digital Signal Processing (DSP).

Multi-Task Convolutional Neural Network Leading to High Performance and Interpretability via Attribute Estimation

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2020, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

Distress Level Classification of Road Infrastructures via CNN Generating Attention Map

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2020, 2020 IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech).

Human-centered image classification via a neural network considering visual and biological features

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2019, Multimedia Tools and Applications.

[Paper] Image Retrieval Based on Supervised Local Regression and Global Alignment with Relevance Feedback for Insect Identification

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2020 .

Cross-domain Recommendation via Multi-layer Graph Analysis Using User-item Embedding

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2020, 2020 IEEE 9th Global Conference on Consumer Electronics (GCCE).

Estimation of User-Specific Visual Attention Based on Gaze Information of Similar Users

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2019, 2019 IEEE 8th Global Conference on Consumer Electronics (GCCE).

Human-Centric Emotion Estimation Based on Correlation Maximization Considering Changes With Time in Visual Attention and Brain Activity

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2020, IEEE Access.

Automatic martian dust storm detection via decision level fusion basedondeep extreme learning machine

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

Estimation of Visual Attention via Canonical Correlation between Visual and Gaze-based Features

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2019, 2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech).

Convolutional sparse coding‐based deep random vector functional link network for distress classification of road structures

Miki Haseyama, Takahiro Ogawa, Sho Takahashi, 2019, Comput. Aided Civ. Infrastructure Eng..

Estimation of Interest Levels From Behavior Features via Tensor Completion Including Adaptive Similar User Selection

Miki Haseyama, Takahiro Ogawa, Tetsuya Kushima, 2020, IEEE Access.

Estimation of Images Matched with Audio-Induced Brain Activity via Modified DGCCA

Miki Haseyama, Takahiro Ogawa, Yun Liang, 2020, 2020 IEEE 9th Global Conference on Consumer Electronics (GCCE).

Automatic detection of martian dust storms from heterogeneous data based on decision level fusion

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2015, 2015 IEEE International Conference on Image Processing (ICIP).

Region-based Distress Classification of Road Infrastructures via CNN without Region Annotation

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2019, 2019 IEEE 8th Global Conference on Consumer Electronics (GCCE).

Interest Level Estimation Based on Feature Integration Considering Distribution of Partially Paired User’s Behavior, Videos and Posters

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2020, 2020 IEEE 9th Global Conference on Consumer Electronics (GCCE).

Automatic estimation of deterioration level on transmission towers via deep extreme learning machine based on local receptive field

Miki Haseyama, Takahiro Ogawa, Sho Takahashi, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

User-Specific Visual Attention Estimation Based on Visual Similarity and Spatial Information in Images

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2019, 2019 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW).

Estimation of Emotion Labels via Tensor-Based Spatiotemporal Visual Attention Analysis

Miki Haseyama, Keisuke Maeda, Yuya Moroto, 2019, 2019 IEEE International Conference on Image Processing (ICIP).

Semantic Shot Classification in Baseball Videos Based on Similarities of Visual Features

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2019, 2019 IEEE 8th Global Conference on Consumer Electronics (GCCE).

Inpainting via Sparse Representation Based on a Phaseless Quality Metric

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2020, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

Forecasting urban dynamics with mobility logs by bilinear Poisson regression

Masamichi Shimosaka, Kota Tsubouchi, Keisuke Maeda, 2015, UbiComp.

Distress classification of class-imbalanced inspection data via correlation-maximizing weighted extreme learning machine

Miki Haseyama, Takahiro Ogawa, Sho Takahashi, 2018, Adv. Eng. Informatics.

User-centric Visual Attention Estimation Based on Relationship between Image and Eye Gaze Data

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2018, 2018 IEEE 7th Global Conference on Consumer Electronics (GCCE).

Favorite Video Classification Based on Multimodal Bidirectional LSTM

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2018, IEEE Access.

Estimation of Viewed Images Using Individual and Shared Brain Responses

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2020, 2020 IEEE 9th Global Conference on Consumer Electronics (GCCE).

Few-Shot Personalized Saliency Prediction Based on Adaptive Image Selection Considering Object and Visual Attention†

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2020, Sensors.

Quantitative Analysis of Engineer’s Skill Using Wearable Sensor Data while Inspecting Highway Bridge

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2020, 2020 IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech).

Failure Rates Estimation of Digital Control Devices with Bayesian Statistics

Keisuke Maeda, 2013 .

Tensor-Based Emotional Category Classification via Visual Attention-Based Heterogeneous CNN Feature Fusion

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2020, Sensors.

Neural Network Maximizing Ordinally Supervised Multi-View Canonical Correlation for Deterioration Level Estimation

Miki Haseyama, Takahiro Ogawa, Sho Takahashi, 2019, 2019 IEEE International Conference on Image Processing (ICIP).

Bayesian network-based distress estimation using image features in road structure assessment

Miki Haseyama, Takahiro Ogawa, Sho Takahashi, 2014, 2014 IEEE 3rd Global Conference on Consumer Electronics (GCCE).

Automatic Martian Dust Storm Detection from Multiple Wavelength Data Based on Decision Level Fusion

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2015, IPSJ Trans. Comput. Vis. Appl..

Important Scene Prediction of Baseball Videos Using Twitter and Video Analysis Based on LSTM

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2020, 2020 IEEE 9th Global Conference on Consumer Electronics (GCCE).

Important Scene Detection Based on Anomaly Detection using Long Short-Term Memory for Baseball Highlight Generation

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2020, 2020 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan).

Visual Sentiment Prediction Using Few-shot Learning via Distribution Relations of Visual Features

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2021, 2021 IEEE 10th Global Conference on Consumer Electronics (GCCE).

Graph Analysis-based Recommendation via Entity Embeddings Using Wikipedia

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2021, 2021 IEEE 10th Global Conference on Consumer Electronics (GCCE).

Time-Lag Aware Multi-Modal Variational Autoencoder Using Baseball Videos And Tweets For Prediction Of Important Scenes

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2021, ICIP 2021.

Text-Guided Image Manipulation for Desired Region Using Referring Image Segmentation

Miki Haseyama, Ren Togo, Takahiro Ogawa, 2021, 2021 IEEE 10th Global Conference on Consumer Electronics (GCCE).

Few-Shot Personalized Saliency Prediction using Person Similarity based on Collaborative Multi-Output Gaussian Process Regression

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2021, ICIP 2021.

Reliable Estimation of Deterioration Levels via Late Fusion Using Multi-View Distress Images for Practical Inspection

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2021, J. Imaging.

Feature Integration through Semi-supervised Multimodal Gaussian Process Latent Variable Model with Pseudo-labels for Interest Level Estimation

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2021, IEEE Access.

Cross-Domain Semi-Supervised Deep Metric Learning for Image Sentiment Analysis

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Supervised Fractional-Order Embedding Multiview Canonical Correlation Analysis via Ordinal Label Dequantization for Image Interest Estimation

Miki Haseyama, Masanao Matsumoto, Naoki Saito, 2021, IEEE Access.

Deterioration Level Estimation Based on Convolutional Neural Network Using Confidence-Aware Attention Mechanism for Infrastructure Inspection

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2022, Sensors.

Cross-Domain Recommendation Method Based On Multi-Layer Graph Analysis With Visual Information

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2021, 2021 IEEE International Conference on Image Processing (ICIP).

Degradation Level Estimation of Road Structures via Attention Branch Network with Text Data

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2021, 2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW).

Multi-label Image Recognition Based on Multi-modal Graph Convolutional Networks Using Captioning Features

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2021, 2021 IEEE 10th Global Conference on Consumer Electronics (GCCE).

Defense Against Image Captioning Attacks via A Robust and Stable Recurrent Neural Network

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2021, 2021 IEEE 10th Global Conference on Consumer Electronics (GCCE).

Interest Level Estimation via Multi-Modal Gaussian Process Latent Variable Factorization

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2021, ICIP 2021.

Correlation-Aware Attention Branch Network Using Multi-Modal Data For Deterioration Level Estimation Of Infrastructures

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2021, ICIP 2021.

Feature Integration via Semi-Supervised Ordinally Multi-Modal Gaussian Process Latent Variable Model

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Detection of Important Scenes in Baseball Videos via Bidirectional Time Lag Aware Deep Multiset Canonical Correlation Analysis

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2021, IEEE Access.

Deep Metric Network Via Heterogeneous Semantics for Image Sentiment Analysis

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2021, ICIP 2021.

Segmentation-Aware Text-Guided Image Manipulation

Miki Haseyama, Ren Togo, Takahiro Ogawa, 2021, 2021 IEEE International Conference on Image Processing (ICIP).

Human Emotion Estimation Using Multi-Modal Variational AutoEncoder with Time Changes

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2021, 2021 IEEE 3rd Global Conference on Life Sciences and Technologies (LifeTech).

Multi-Modal Label Dequantized Gaussian Process Latent Variable Model for Ordinal Label Estimation

Miki Haseyama, Masanao Matsumoto, Naoki Saito, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Classification of Expert-Novice Level Using Eye Tracking And Motion Data via Conditional Multimodal Variational Autoencoder

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Estimation of Visual Features of Viewed Image From Individual and Shared Brain Information Based on FMRI Data Using Probabilistic Generative Model

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Analysis of Social Trends Related to COVID-19 Pandemic Utilizing Social Media Data

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2021, 2021 IEEE 10th Global Conference on Consumer Electronics (GCCE).

Cross-domain recommendation based on multilayer graph analysis using subgraph representation

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2021, Other Conferences.

Movie Rating Estimation Based on Weakly Supervised Multi-modal Latent Variable Model

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2021, 2021 IEEE 10th Global Conference on Consumer Electronics (GCCE).

A Trial of Fine-grained Classification of Expert-novice Level Using Bio-signals While Inspecting Subway Tunnels

Miki Haseyama, Takahiro Ogawa, Keisuke Maeda, 2021, 2021 IEEE 10th Global Conference on Consumer Electronics (GCCE).