Nakamasa Inoue

发表

Fast Coding of Feature Vectors Using Neighbor-to-Neighbor Search

Koichi Shinoda, Nakamasa Inoue, Nakamasa Inoue, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

TokyoTech at TRECVID 2016

Nakamasa Inoue, Ryosuke Yamamoto, Na Rong, 2016, TRECVID.

Multimedia event detection using GMM supervectors and SVMS

Koichi Shinoda, Nakamasa Inoue, Shunsuke Sato, 2012, 2012 19th IEEE International Conference on Image Processing.

User adaptation of convolutional neural network for human activity recognition

Koichi Shinoda, Nakamasa Inoue, Shinya Matsui, 2017, 2017 25th European Signal Processing Conference (EUSIPCO).

CTC Network with Statistical Language Modeling for Action Sequence Recognition in Videos

Koichi Shinoda, Nakamasa Inoue, Mengxi Lin, 2017, ACM Multimedia.

Combining Audio Features and Visual I-Vector @ MediaEval 2015 Multimodal Person Discovery in Broadcast TV

Koichi Shinoda, Nakamasa Inoue, Fumito Nishi, 2015, MediaEval.

Pre-Training Without Natural Images

Yutaka Satoh, Hirokatsu Kataoka, Nakamasa Inoue, 2021, International Journal of Computer Vision.

Speaker Diarization Using Multi-Modal i-vectors

Koichi Shinoda, Nakamasa Inoue, Fumito Nishi, 2015 .

A fast MAP adaptation technique for gmm-supervector-based video semantic indexing systems

Koichi Shinoda, Nakamasa Inoue, Nakamasa Inoue, 2011, ACM Multimedia.

A Fine-to-Coarse Convolutional Neural Network for 3D Human Action Recognition pdf

Koichi Shinoda, Nakamasa Inoue, Thao Le Minh, 2018, BMVC.

Multi-Task Autoencoder for Noise-Robust Speech Recognition

Koichi Shinoda, Nakamasa Inoue, Haoyi Zhang, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A unified network for multi-speaker speech recognition with multi-channel recordings

Koichi Shinoda, Nakamasa Inoue, Conggui Liu, 2017, 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

Initialization Using Perlin Noise for Training Networks with a Limited Amount of Data pdf

Hirokatsu Kataoka, Nakamasa Inoue, Eisuke Yamagata, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

Efficient and Effective Semantic Indexing for Large-Scale Video Resources

Nakamasa Inoue, 井上中順, 2014 .

Graph regularized implicit pose for 3D human action recognition

Koichi Shinoda, Tommi Kerola, Nakamasa Inoue, 2016, 2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA).

Shinoda Laboratory, Tokyo Institute of Technology

Nakamasa Inoue, 2009 .

Speech Paralinguistic Approach for Detecting Dementia Using Gated Convolutional Neural Network pdf

Koichi Shinoda, Nakamasa Inoue, Taishiro Kishimoto, 2020, IEICE Trans. Inf. Syst..

Adaptation of Word Vectors using Tree Structure for Visual Semantics

Koichi Shinoda, Nakamasa Inoue, Nakamasa Inoue, 2016, ACM Multimedia.

TokyoTech-AIST at TRECVID 2017: Multimedia Event Detection Using Deep CNNs and Zero-Shot Classiers

Shi-wook Lee, Satoshi Kanai, Nakamasa Inoue, 2017, TRECVID.

Cross-view human action recognition from depth maps using spectral graph sequences

Koichi Shinoda, Tommi Kerola, Nakamasa Inoue, 2017, Comput. Vis. Image Underst..

Vocabulary Expansion Using Word Vectors for Video Semantic Indexing

Koichi Shinoda, Nakamasa Inoue, 2015, ACM Multimedia.

TT+GT at TRECVID 2010 Workshop

Chin-Hui Lee, Koichi Shinoda, Nakamasa Inoue, 2010, TRECVID.

Multimodal High-Level Feature Extraction for Large-Scale Video Resources

Koichi Shinoda, Sadaoki Furui, Nakamasa Inoue, 2010 .

VANT at TRECVID 2018

Alex ChiChung Kot, Shi-wook Lee, Nakamasa Inoue, 2018, TRECVID.

Semi-Supervised Contrastive Learning with Generalized Contrastive Loss and Its Application to Speaker Recognition pdf

Nakamasa Inoue, Keita Goto, Nakamasa Inoue, 2020, 2020 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

Event Detection by Velocity Pyramid

Koichi Shinoda, Nakamasa Inoue, Zhuolin Liang, 2014, MMM.

TokyoTechCanon at TRECVID 2012

Koichi Shinoda, Nakamasa Inoue, Kotaro Mori, 2012, TRECVID.

Detecting Alzheimer's Disease Using Gated Convolutional Neural Network from Audio Data pdf

Koichi Shinoda, Nakamasa Inoue, Tifani Warnita, 2018, INTERSPEECH.

Augmented Cyclic Consistency Regularization for Unpaired Image-to-Image Translation pdf

Hirokatsu Kataoka, Nakamasa Inoue, Naoto Inoue, 2020, ArXiv.

A Fast and Accurate Video Semantic-Indexing System Using Fast MAP Adaptation and GMM Supervectors

Koichi Shinoda, Nakamasa Inoue, Nakamasa Inoue, 2012, IEEE Transactions on Multimedia.

TokyoTech-Waseda at TRECVID 2014

Nakamasa Inoue, Kazuya Ueki, Xuefeng Zhang, 2014, TRECVID.

Multimodal speech recognition using mouth images from depth camera

Koichi Shinoda, Koji Iwano, Nakamasa Inoue, 2017, 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

Reusing Speech Techniques for Video Semantic Indexing [Applications Corner]

Koichi Shinoda, Nakamasa Inoue, 2013, IEEE Signal Processing Magazine.

TokyoTech at TRECVID 2015

Nakamasa Inoue, Ryosuke Yamamoto, Koichi Shinoda, 2015, TRECVID.

TokyoTech+Canon at TRECVID 2011

Koichi Shinoda, Nakamasa Inoue, Shunsuke Sato, 2011, TRECVID.

TITGT at TRECVID 2009 workshop

Chin-Hui Lee, Koichi Shinoda, Nakamasa Inoue, 2009 .

[Invited Paper] Semantic Indexing for Large-Scale Video Retrieval

Koichi Shinoda, Nakamasa Inoue, Nakamasa Inoue, 2016 .

n-gram Models for Video Semantic Indexing

Koichi Shinoda, Nakamasa Inoue, 2014, ACM Multimedia.

Human Action Retrieval Based on Temporal Matching (パターン認識・メディア理解)

Koichi Shinoda, Nakamasa Inoue, Mengxi Lin, 2015 .

Event detection in consumer videos using GMM supervectors and SVMs

Koichi Shinoda, Nakamasa Inoue, Yusuke Kamishima, 2013, EURASIP J. Image Video Process..

Semantic Indexing for Large-Scale Video Retrieval

Koichi Shinoda, Nakamasa Inoue, 井上中順, 2016 .

Sequence-level Knowledge Distillation for Model Compression of Attention-based Sequence-to-sequence Speech Recognition

Koichi Shinoda, Nakamasa Inoue, Raden Mu'az Mun'im, 2018, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Neighbor-to-Neighbor Search for Fast Coding of Feature Vectors

Koichi Shinoda, Nakamasa Inoue, Nakamasa Inoue, 2013, 2013 IEEE International Conference on Computer Vision.

q-Gaussian mixture models for image and video semantic indexing

Koichi Shinoda, Nakamasa Inoue, 2013, J. Vis. Commun. Image Represent..

Deep Video Understanding of Character Relationships in Movies

Nakamasa Inoue, Yang Lu, Kuniaki Uto, 2020, ICMI Companion.

Action Sequence Recognition in Videos by Combining a CTC Network with a Statistical Language Model

Koichi Shinoda, Nakamasa Inoue, 井上中順, 2017 .

Spectral Graph Skeletons for 3D Action Recognition

Koichi Shinoda, Tommi Kerola, Nakamasa Inoue, 2014, ACCV.

Spectral Graph Wavelets for Skeleton-based 3D Action Recognition (パターン認識・メディア理解)

Tommi Kerola, Nakamasa Inoue, Koichi Shinoda, 2015 .