Free Random Projection for In-Context Reinforcement Learning.

Tomohiro Hayase, Benoit Collins, Nakamasa Inoue

CoRR   abs/2504.06983   2025年4月

On the Relationship Between Double Descent of CNNs and Shape/Texture Bias Under Learning Process.

Shun Iwase, Shuya Takahashi, Nakamasa Inoue, Rio Yokota, Ryo Nakamura, Hirokatsu Kataoka

CoRR   abs/2503.02302   2025年3月

Rectified Lagrangian for Out-of-Distribution Detection in Modern Hopfield Networks.

Ryo Moriai, Nakamasa Inoue, Masayuki Tanaka 0001, Rei Kawakami, Satoshi Ikehata, Ikuro Sato

CoRR   abs/2502.14003   2025年2月

Diffusion-Based Generative Regularization for Supervised Discriminative Learning.

Takuya Asakura, Nakamasa Inoue, Koichi Shinoda

WACV   8915 - 8926   2025年

HALL-E: Hierarchical Neural Codec Language Model for Minute-Long Zero-Shot Text-to-Speech Synthesis.

Yuto Nishimura, Takumi Hirose, Masanari Ohi, Hideki Nakayama, Nakamasa Inoue

ICLR   2025年

Binary Stochastic Flip Optimization for Training Binary Neural Networks.

Tatsukichi Shibuya, Nakamasa Inoue, Rei Kawakami, Ikuro Sato

ICASSP   1 - 5   2025年

Multi-Point Positional Insertion Tuning for Small Object Detection.

Kanoko Goto, Takumi Karasawa, Takumi Hirose, Rei Kawakami, Nakamasa Inoue

ICASSP   1 - 5   2025年

Rectified Lagrangian for Out-of-Distribution Detection in Modern Hopfield Networks.

Ryo Moriai, Nakamasa Inoue, Masayuki Tanaka 0001, Rei Kawakami, Satoshi Ikehata, Ikuro Sato

AAAI   19554 - 19562   2025年

A Simple Finetuning Strategy Based on Bias-Variance Ratios of Layer-Wise Gradients.

Mao Tomita, Ikuro Sato, Rei Kawakami, Nakamasa Inoue, Satoshi Ikehata, Masayuki Tanaka 0001

ACCV (8)   192 - 209   2024年

Efficient Target Propagation by Deriving Analytical Solution.

Yanhao Bao, Tatsukichi Shibuya, Ikuro Sato, Rei Kawakami, Nakamasa Inoue

Thirty-Eighth AAAI Conference on Artificial Intelligence(AAAI)   11016 - 11023   2024年

ELP-Adapters: Parameter Efficient Adapter Tuning for Various Speech Processing Tasks.

Nakamasa Inoue, Shinta Otake, Takumi Hirose, Masanari Ohi, Rei Kawakami

IEEE/ACM Transactions on Audio, Speech and Language Processing   32   3867 - 3880   2024年

Multi-Point Positional Insertion Tuning for Small Object Detection.

Kanoko Goto, Takumi Karasawa, Takumi Hirose, Rei Kawakami, Nakamasa Inoue

CoRR   abs/2412.18090   2024年

HarmonicEval: Multi-modal, Multi-task, Multi-criteria Automatic Evaluation Using a Vision Language Model.

Masanari Ohi, Masahiro Kaneko, Naoaki Okazaki, Nakamasa Inoue

CoRR   abs/2412.14613   2024年

PolarDB: Formula-Driven Dataset for Pre-Training Trajectory Encoders.

Sota Miyamoto, Takuma Yagi, Yuto Makimoto, Mahiro Ukai, Yoshitaka Ushiku, Atsushi Hashimoto 0001, Nakamasa Inoue

IEEE International Conference on Acoustics, Speech and Signal Processing(ICASSP)   5465 - 5469   2024年

ELP-Adapters: Parameter Efficient Adapter Tuning for Various Speech Processing Tasks.

Nakamasa Inoue, Shinta Otake, Takumi Hirose, Masanari Ohi, Rei Kawakami

CoRR   abs/2407.21066   2024年

Pyramid Coder: Hierarchical Code Generator for Compositional Visual Question Answering.

Ruoyue Shen, Nakamasa Inoue, Koichi Shinoda

CoRR   abs/2407.20563   2024年

AdaCoder: Adaptive Prompt Compression for Programmatic Visual Question Answering.

Mahiro Ukai, Shuhei Kurita, Atsushi Hashimoto 0001, Yoshitaka Ushiku, Nakamasa Inoue

CoRR   abs/2407.19410   2024年

CityNav: Language-Goal Aerial Navigation Dataset with Geographic Information.

Jungdae Lee, Taiki Miyanishi, Shuhei Kurita, Koya Sakamoto, Daichi Azuma, Yutaka Matsuo, Nakamasa Inoue

CoRR   abs/2406.14240   2024年

AdaCoder: Adaptive Prompt Compression for Programmatic Visual Question Answering.

Mahiro Ukai, Shuhei Kurita, Atsushi Hashimoto 0001, Yoshitaka Ushiku, Nakamasa Inoue

Proceedings of the 32nd ACM International Conference on Multimedia   9234 - 9243   2024年

Locally Aligned Rectified Flow Model for Speech Enhancement Towards Single-Step Diffusion.

Zhengxiao Li, Nakamasa Inoue

INTERSPEECH   2024年

HALL-E: Hierarchical Neural Codec Language Model for Minute-Long Zero-Shot Text-to-Speech Synthesis.

Yuto Nishimura, Takumi Hirose, Masanari Ohi, Hideki Nakayama, Nakamasa Inoue

CoRR   abs/2410.04380   2024年

Formula-Supervised Visual-Geometric Pre-training.

Ryosuke Yamada, Kensho Hara, Hirokatsu Kataoka, Koshi Makihara, Nakamasa Inoue, Rio Yokota, Yutaka Satoh

CoRR   abs/2409.13535   2024年

Rethinking Image Super-Resolution from Training Data Perspectives.

Go Ohtani, Ryu Tadokoro, Ryosuke Yamada, Yuki M. Asano, Iro Laina, Christian Rupprecht 0001, Nakamasa Inoue, Rio Yokota, Hirokatsu Kataoka, Yoshimitsu Aoki

CoRR   abs/2409.00768   2024年

Scaling Backwards: Minimal Synthetic Pre-training?

Ryo Nakamura, Ryu Tadokoro, Ryosuke Yamada, Yuki M. Asano, Iro Laina, Christian Rupprecht 0001, Nakamasa Inoue, Rio Yokota, Hirokatsu Kataoka

CoRR   abs/2408.00677   2024年

Pseudo-Outlier Synthesis Using Q-Gaussian Distributions for Out-of-Distribution Detection.

Ryo Nakamura, Ryu Tadokoro, Eisuke Yamagata, Yusuke Kondo, Kensho Hara, Hirokatsu Kataoka, Nakamasa Inoue

IEEE International Conference on Acoustics, Speech and Signal Processing(ICASSP)   3120 - 3124   2024年

Scaling Backwards: Minimal Synthetic Pre-Training?

Ryo Nakamura, Ryu Tadokoro, Ryosuke Yamada, Yuki M. Asano, Iro Laina, Christian Rupprecht 0001, Nakamasa Inoue, Rio Yokota, Hirokatsu Kataoka

Computer Vision - ECCV 2024 - 18th European Conference   153 - 171   2024年

Formula-Supervised Visual-Geometric Pre-training.

Ryosuke Yamada, Kensho Hara, Hirokatsu Kataoka, Koshi Makihara, Nakamasa Inoue, Rio Yokota, Yutaka Satoh

Computer Vision - ECCV 2024 - 18th European Conference   57 - 74   2024年

Rethinking Image Super-Resolution from Training Data Perspectives.

Go Ohtani, Ryu Tadokoro, Ryosuke Yamada, Yuki M. Asano, Iro Laina, Christian Rupprecht 0001, Nakamasa Inoue, Rio Yokota, Hirokatsu Kataoka, Yoshimitsu Aoki

Computer Vision - ECCV 2024 - 18th European Conference   19 - 36   2024年

Augmenting Pass Prediction via Imitation Learning in Soccer Simulations.

Takeshi Kaneko, Rei Kawakami, Takeshi Naemura, Nakamasa Inoue

IEEE/CVF Conference on Computer Vision and Pattern Recognition   3194 - 3203   2024年

On the Relationship Between Double Descent of CNNs and Shape/Texture Bias Under Learning Process.

Shun Iwase, Shuya Takahashi, Nakamasa Inoue, Rio Yokota, Ryo Nakamura, Hirokatsu Kataoka, Eisaku Maeda

ICPR (25)   95 - 109   2024年

Pyramid Coder: Hierarchical Code Generator for Compositional Visual Question Answering.

Ruoyue Shen, Nakamasa Inoue, Koichi Shinoda

ICIP   430 - 436   2024年

Spatiality-Aware Prompt Tuning for Few-Shot Small Object Detection.

Takumi Karasawa, Nakamasa Inoue, Rei Kawakami

ICIP   305 - 311   2024年

Cubic Knowledge Distillation for Speech Emotion Recognition.

Zhibo Lou, Shinta Otake, Zhengxiao Li, Rei Kawakami, Nakamasa Inoue

IEEE International Conference on Acoustics, Speech and Signal Processing(ICASSP)   5705 - 5709   2024年

CityRefer: Geography-aware 3D Visual Grounding Dataset on City-scale Point Cloud Data.

Taiki Miyanishi, Fumiya Kitamori, Shuhei Kurita, Jungdae Lee, Motoaki Kawanabe, Nakamasa Inoue

CoRR   abs/2310.18773   2023年

SegRCDB: Semantic Segmentation via Formula-Driven Supervised Learning.

Risa Shinoda, Ryo Hayamizu, Kodai Nakashima, Nakamasa Inoue, Rio Yokota, Hirokatsu Kataoka

CoRR   abs/2309.17083   2023年

Pre-training Vision Transformers with Very Limited Synthesized Images.

Ryo Nakamura, Hirokatsu Kataoka, Sora Takashima, Edgar Josafat Martinez-Noriega, Rio Yokota, Nakamasa Inoue

CoRR   abs/2307.14710   2023年

Pre-training Vision Transformers with Very Limited Synthesized Images.

Ryo Nakamura, Hirokatsu Kataoka, Sora Takashima, Edgar Josafat Martinez-Noriega, Rio Yokota, Nakamasa Inoue

IEEE/CVF International Conference on Computer Vision(ICCV)   20303 - 20312   2023年

SegRCDB: Semantic Segmentation via Formula-Driven Supervised Learning.

Risa Shinoda, Ryo Hayamizu, Kodai Nakashima, Nakamasa Inoue, Rio Yokota, Hirokatsu Kataoka

IEEE/CVF International Conference on Computer Vision(ICCV)   19997 - 20006   2023年

Parameter Efficient Transfer Learning for Various Speech Processing Tasks.

Shinta Otake, Rei Kawakami, Nakamasa Inoue

IEEE International Conference on Acoustics, Speech and Signal Processing ICASSP 2023(ICASSP)   1 - 5   2023年

Step restriction for improving adversarial attacks.

Keita Goto, Shinta Otake, Rei Kawakami, Nakamasa Inoue

IEEE International Conference on Acoustics, Speech and Signal Processing ICASSP 2023(ICASSP)   1 - 5   2023年

Visual Atoms: Pre-Training Vision Transformers with Sinusoidal Waves.

Sora Takashima, Ryo Hayamizu, Nakamasa Inoue, Hirokatsu Kataoka, Rio Yokota

IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR)   18579 - 18588   2023年

Learning with Partial Forgetting in Modern Hopfield Networks.

Toshihiro Ota, Ikuro Sato, Rei Kawakami, Masayuki Tanaka 0001, Nakamasa Inoue

International Conference on Artificial Intelligence and Statistics(AISTATS)   6661 - 6673   2023年

Fixed-Weight Difference Target Propagation.

Tatsukichi Shibuya, Nakamasa Inoue, Rei Kawakami, Ikuro Sato

Thirty-Seventh AAAI Conference on Artificial Intelligence(AAAI)   9811 - 9819   2023年

Scale-space Tokenization for Improving the Robustness of Vision Transformers.

Lei Xu, Rei Kawakami, Nakamasa Inoue

Proceedings of the 31st ACM International Conference on Multimedia   2684 - 2693   2023年

CityRefer: Geography-aware 3D Visual Grounding Dataset on City-scale Point Cloud Data.

Taiki Miyanishi, Fumiya Kitamori, Shuhei Kurita, Jungdae Lee, Motoaki Kawanabe, Nakamasa Inoue

Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023(NeurIPS)   2023年

Visual Atoms: Pre-training Vision Transformers with Sinusoidal Waves.

Sora Takashima, Ryo Hayamizu, Nakamasa Inoue, Hirokatsu Kataoka, Rio Yokota

CoRR   abs/2303.01112   2023年

Text-Guided Object Detector for Multi-modal Video Question Answering.

Ruoyue Shen, Nakamasa Inoue, Koichi Shinoda

IEEE/CVF Winter Conference on Applications of Computer Vision(WACV)   1032 - 1042   2023年

Fixed-Weight Difference Target Propagation.

Tatsukichi Shibuya, Nakamasa Inoue, Rei Kawakami, Ikuro Sato

CoRR   abs/2212.10352   2022年

Parameter Efficient Transfer Learning for Various Speech Processing Tasks.

Shinta Otake, Rei Kawakami, Nakamasa Inoue

CoRR   abs/2212.02780   2022年

PoF: Post-Training of Feature Extractor for Improving Generalization.

Ikuro Sato, Ryota Yamada, Masayuki Tanaka 0001, Nakamasa Inoue, Rei Kawakami

CoRR   abs/2207.01847   2022年

Replacing Labeled Real-image Datasets with Auto-generated Contours.

Hirokatsu Kataoka, Ryo Hayamizu, Ryosuke Yamada, Kodai Nakashima, Sora Takashima, Xinyu Zhang, Edgar Josafat Martinez-Noriega, Nakamasa Inoue, Rio Yokota

CoRR   abs/2206.09132   2022年

Spatiotemporal Initialization for 3D CNNs with Generated Motion Patterns.

Hirokatsu Kataoka, Kensho Hara, Ryusuke Hayashi, Eisuke Yamagata, Nakamasa Inoue

IEEE/CVF Winter Conference on Applications of Computer Vision(WACV)   737 - 746   2022年

PoF: Post-Training of Feature Extractor for Improving Generalization.

Ikuro Sato, Ryota Yamada, Masayuki Tanaka 0001, Nakamasa Inoue, Rei Kawakami

International Conference on Machine Learning(ICML)   19221 - 19230   2022年

Downstream Augmentation Generation For Contrastive Learning.

Tomohiro Hayase, Suguru Yasutomi, Nakamasa Inoue

IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2022, Virtual and Singapore(ICASSP)   2115 - 2119   2022年

Replacing Labeled Real-image Datasets with Auto-generated Contours.

Hirokatsu Kataoka, Ryo Hayamizu, Ryosuke Yamada, Kodai Nakashima, Sora Takashima, Xinyu Zhang, Edgar Josafat Martinez-Noriega, Nakamasa Inoue, Rio Yokota

IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR)   21200 - 21209   2022年

Can Vision Transformers Learn without Natural Images?

Kodai Nakashima, Hirokatsu Kataoka, Asato Matsumoto, Kenji Iwata, Nakamasa Inoue, Yutaka Satoh

Thirty-Sixth AAAI Conference on Artificial Intelligence(AAAI)   1990 - 1998   2022年

Pre-Training Without Natural Images.

Hirokatsu Kataoka, Kazushige Okayasu, Asato Matsumoto, Eisuke Yamagata, Ryosuke Yamada, Nakamasa Inoue, Akio Nakamura, Yutaka Satoh

International Journal of Computer Vision   130 ( 4 )   990 - 1007   2022年

Pre-training without Natural Images.

Hirokatsu Kataoka, Kazushige Okayasu, Asato Matsumoto, Eisuke Yamagata, Ryosuke Yamada, Nakamasa Inoue, Akio Nakamura, Yutaka Satoh

CoRR   abs/2101.08515   2021年

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

Nakamasa Inoue, Eisuke Yamagata, Hirokatsu Kataoka

CoRR   abs/2101.07406   2021年

Can Vision Transformers Learn without Natural Images?

Kodai Nakashima, Hirokatsu Kataoka, Asato Matsumoto, Kenji Iwata, Nakamasa Inoue

CoRR   abs/2103.13023   2021年

Learning VAE with Categorical Labels for Generating Conditional Handwritten Characters.

Keita Goto, Nakamasa Inoue

17th International Conference on Machine Vision and Applications(MVA)   1 - 5   2021年

Disentangling Latent Groups Of Factors.

Nakamasa Inoue, Ryota Yamada, Rei Kawakami, Ikuro Sato

2021 IEEE International Conference on Image Processing(ICIP)   2548 - 2552   2021年

Formula-driven Supervised Learning with Recursive Tiling Patterns.

Hirokatsu Kataoka, Asato Matsumoto, Ryosuke Yamada, Yutaka Satoh, Eisuke Yamagata, Nakamasa Inoue

IEEE/CVF International Conference on Computer Vision Workshops(ICCVW)   4081 - 4088   2021年

Teacher-Assisted Mini-Batch Sampling for Blind Distillation Using Metric Learning.

Nakamasa Inoue

IEEE International Conference on Acoustics, Speech and Signal Processing(ICASSP)   4160 - 4164   2021年

Augmentation-Agnostic Regularization for Unsupervised Contrastive Learning with Its Application to Speaker Verification.

Nakamasa Inoue, Tsubasa Maruyama, Keita Goto

Asia-Pacific Signal and Information Processing Association Annual Summit and Conference   1993 - 1998   2021年

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

Mariana Rodrigues Makiuchi, Tifani Warnita, Nakamasa Inoue, Koichi Shinoda, Michitaka Yoshimura, Momoko Kitazawa, Kei Funaki, Yoko Eguchi, Taishiro Kishimoto

IEICE Transactions on Information & Systems   104-D ( 11 )   1930 - 1940   2021年

Pre-training Without Natural Images.

Hirokatsu Kataoka, Kazushige Okayasu, Asato Matsumoto, Eisuke Yamagata, Ryosuke Yamada, Nakamasa Inoue, Akio Nakamura, Yutaka Satoh

Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision   583 - 600   2020年

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

Nakamasa Inoue, Keita Goto

CoRR   abs/2006.04326   2020年

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

Takehiko Ohkawa, Naoto Inoue, Hirokatsu Kataoka, Nakamasa Inoue

CoRR   abs/2003.00187   2020年

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

Nakamasa Inoue, Eisuke Yamagata, Hirokatsu Kataoka

25th International Conference on Pattern Recognition(ICPR)   1023 - 1028   2020年

Quasi-Newton Adversarial Attacks on Speaker Verification Systems.

Keita Goto, Nakamasa Inoue

Asia-Pacific Signal and Information Processing Association Annual Summit and Conference(APSIPA)   527 - 531   2020年

Optimizing Speaker Embeddings using Meta-Training Sets.

Nakamasa Inoue, Keita Goto

Asia-Pacific Signal and Information Processing Association Annual Summit and Conference(APSIPA)   600 - 604   2020年

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

Nakamasa Inoue, Keita Goto

Asia-Pacific Signal and Information Processing Association Annual Summit and Conference(APSIPA)   1641 - 1646   2020年

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

Tifani Warnita, Mariana Rodrigues Makiuchi, Nakamasa Inoue, Koichi Shinoda, Michitaka Yoshimura, Momoko Kitazawa, Kei Funaki, Yoko Eguchi, Taishiro Kishimoto

CoRR   abs/2004.07992   2020年

Graph Grouping Loss for Metric Learning of Face Image Representations.

Nakamasa Inoue

2020 IEEE International Conference on Visual Communications and Image Processing(VCIP)   152 - 155   2020年

Tokyo Tech at TRECVID 2020: Relation Modeling for Video Action Detection.

Ronaldo Prata Amorim, Nakamasa Inoue, Koichi Shinoda

2020 TREC Video Retrieval Evaluation(TRECVID)   2020年

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

Takehiko Ohkawa, Naoto Inoue, Hirokatsu Kataoka, Nakamasa Inoue

25th International Conference on Pattern Recognition(ICPR)   362 - 369   2020年

Deep Video Understanding of Character Relationships in Movies.

Yang Lu, Asri Rizki Yuliani, Keisuke Ishikawa, Ronaldo Prata Amorim, Roland Hartanto, Nakamasa Inoue, Kuniaki Uto, Koichi Shinoda

Companion Publication of the 2020 International Conference on Multimodal Interaction   120 - 129   2020年

Closed-Form Pre-Training for Small-Sample Environmental Sound Recognition.

Nakamasa Inoue, Keita Goto

Asia-Pacific Signal and Information Processing Association Annual Summit and Conference(APSIPA)   1693 - 1697   2020年

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

Raden Mu'az Mun'im, Nakamasa Inoue, Koichi Shinoda

IEEE International Conference on Acoustics, Speech and Signal Processing(ICASSP)   6151 - 6155   2019年

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

Tifani Warnita, Nakamasa Inoue, Koichi Shinoda

19th Annual Conference of the International Speech Communication Association(INTERSPEECH)   1706 - 1710   2018年

Multi-Task Autoencoder for Noise-Robust Speech Recognition.

Haoyi Zhang, Conggui Liu, Nakamasa Inoue, Koichi Shinoda

2018 IEEE International Conference on Acoustics, Speech and Signal Processing(ICASSP)   5599 - 5603   2018年

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

Thao Le Minh, Nakamasa Inoue, Koichi Shinoda

British Machine Vision Conference 2018(BMVC)   227 - 227   2018年

I-vector Transformation Using Conditional Generative Adversarial Networks for Short Utterance Speaker Verification.

Jiacen Zhang, Nakamasa Inoue, Koichi Shinoda

19th Annual Conference of the International Speech Communication Association(INTERSPEECH)   3613 - 3617   2018年

Sequence-Level Knowledge Distillation for Model Compression of Attention-based Sequence-to-Sequence Speech Recognition.

Raden Mu'az Mun'im, Nakamasa Inoue, Koichi Shinoda

CoRR   abs/1811.04531   2018年

Few-Shot Adaptation for Multimedia Semantic Indexing.

Nakamasa Inoue, Koichi Shinoda

CoRR   abs/1807.07203   2018年

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

Thao Le Minh, Nakamasa Inoue, Koichi Shinoda

CoRR   abs/1805.11790   2018年

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

Tifani Warnita, Nakamasa Inoue, Koichi Shinoda

CoRR   abs/1803.11344   2018年

I-vector Transformation Using Conditional Generative Adversarial Networks for Short Utterance Speaker Verification.

Jiacen Zhang, Nakamasa Inoue, Koichi Shinoda

CoRR   abs/1804.00290   2018年

VANT at TRECVID 2018.

Nakamasa Inoue, Chihiro Shiraishi, Aleksandr Drozd, Koichi Shinoda, Shi-wook Lee, Alex ChiChung Kot

2018 TREC Video Retrieval Evaluation(TRECVID)   2018年

Few-Shot Adaptation for Multimedia Semantic Indexing.

Nakamasa Inoue, Koichi Shinoda

2018 ACM Multimedia Conference on Multimedia Conference   1110 - 1118   2018年

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

Tommi Kerola, Nakamasa Inoue, Koichi Shinoda

Computer Vision and Image Understanding   154   108 - 126   2017年

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

Nakamasa Inoue, Ryosuke Yamamoto, Na Rong, Satoshi Kanai, Junsuke Masada, Chihiro Shiraishi, Shi-wook Lee, Koichi Shinoda

2017 TREC Video Retrieval Evaluation(TRECVID)   2017年

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

Mengxi Lin, Nakamasa Inoue, Koichi Shinoda

Proceedings of the on Thematic Workshops of ACM Multimedia 2017   393 - 401   2017年

User adaptation of convolutional neural network for human activity recognition.

Shinya Matsui, Nakamasa Inoue, Yuko Akagi, Goshu Nagino, Koichi Shinoda

25th European Signal Processing Conference(EUSIPCO)   753 - 757   2017年

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

Conggui Liu, Nakamasa Inoue, Koichi Shinoda

2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference(APSIPA)   1304 - 1307   2017年

Multimodal speech recognition using mouth images from depth camera.

Yuki Yasui, Nakamasa Inoue, Koji Iwano, Koichi Shinoda

2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference(APSIPA)   1233 - 1236   2017年

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

Nakamasa Inoue, Koichi Shinoda

IEEE Transactions on Pattern Analysis and Machine Intelligence   38 ( 6 )   1170 - 1184   2016年

TokyoTech at TRECVID 2016.

Nakamasa Inoue, Ryosuke Yamamoto, Na Rong, Koichi Shinoda

2016 TREC Video Retrieval Evaluation(TRECVID)   2016年

Adaptation of Word Vectors using Tree Structure for Visual Semantics.

Nakamasa Inoue, Koichi Shinoda

Proceedings of the 2016 ACM Conference on Multimedia Conference   277 - 281   2016年

Tokyo Tech at MediaEval 2016 Multimodal Person Discovery in Broadcast TV task.

Fumito Nishi, Nakamasa Inoue, Koji Iwano, Koichi Shinoda

Working Notes Proceedings of the MediaEval 2016 Workshop(MediaEval)   2016年

Graph regularized implicit pose for 3D human action recognition.

Tommi Kerola, Nakamasa Inoue, Koichi Shinoda

Asia-Pacific Signal and Information Processing Association Annual Summit and Conference(APSIPA)   1 - 4   2016年

TokyoTech at TRECVID 2015.

Nakamasa Inoue, Hai Dang Tran, Ryosuke Yamamoto, Koichi Shinoda

2015 TREC Video Retrieval Evaluation(TRECVID)   2015年

Vocabulary Expansion Using Word Vectors for Video Semantic Indexing.

Nakamasa Inoue, Koichi Shinoda

Proceedings of the 23rd Annual ACM Conference on Multimedia Conference   851 - 854   2015年

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

Fumito Nishi, Nakamasa Inoue, Koichi Shinoda

Working Notes Proceedings of the MediaEval 2015 Workshop(MediaEval)   2015年

TokyoTech-Waseda at TRECVID 2014.

Nakamasa Inoue, Zhuolin Liang, Mengxi Lin, Hai Dang Tran, Koichi Shinoda, Xuefeng Zhang, Kazuya Ueki

2014 TREC Video Retrieval Evaluation(TRECVID)   2014年

Event Detection by Velocity Pyramid.

Zhuolin Liang, Nakamasa Inoue, Koichi Shinoda

MultiMedia Modeling - 20th Anniversary International Conference   353 - 364   2014年

n-gram Models for Video Semantic Indexing.

Nakamasa Inoue, Koichi Shinoda

Proceedings of the ACM International Conference on Multimedia   777 - 780   2014年

Spectral Graph Skeletons for 3D Action Recognition.

Tommi Kerola, Nakamasa Inoue, Koichi Shinoda

Computer Vision - ACCV 2014 - 12th Asian Conference on Computer Vision   417 - 432   2014年

TokyoTechCanon at TRECVID 2013.

Nakamasa Inoue, Kotaro Mori, Zhuolin Liang, Mengxi Lin, Koichi Shinoda, Shunsuke Sato

2013 TREC Video Retrieval Evaluation(TRECVID)   2013年

Event detection in consumer videos using GMM supervectors and SVMs.

Yusuke Kamishima, Nakamasa Inoue, Koichi Shinoda

EURASIP Journal on Image and Video Processing   2013   51 - 51   2013年

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

Nakamasa Inoue, Koichi Shinoda

IEEE International Conference on Computer Vision(ICCV)   1233 - 1240   2013年

Reusing Speech Techniques for Video Semantic Indexing [Applications Corner].

Koichi Shinoda, Nakamasa Inoue

IEEE Signal Processing Magazine   30 ( 2 )   118 - 122   2013年

q-Gaussian mixture models for image and video semantic indexing.

Nakamasa Inoue, Koichi Shinoda

Journal of Visual Communication and Image Representation   24 ( 8 )   1450 - 1457   2013年

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

Nakamasa Inoue, Koichi Shinoda

IEEE Transactions on Multimedia   14 ( 4 )   1196 - 1205   2012年

TokyoTechCanon at TRECVID 2012.

Nakamasa Inoue, Yusuke Kamishima, Kotaro Mori, Koichi Shinoda

2012 TREC Video Retrieval Evaluation(TRECVID)   2012年

Multimedia event detection using GMM supervectors and SVMS.

Yusuke Kamishima, Nakamasa Inoue, Koichi Shinoda, Shunsuke Sato

19th IEEE International Conference on Image Processing(ICIP)   3089 - 3092   2012年

q-Gaussian Mixture Models Based on Non-extensive Statistics for Image and Video Semantic Indexing.

Nakamasa Inoue, Koichi Shinoda

Computer Vision - ACCV 2012   499 - 510   2012年

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

Nakamasa Inoue, Koichi Shinoda

Proceedings of the 19th International Conference on Multimedia 2011   1357 - 1360   2011年

TokyoTech+Canon at TRECVID 2011.

Nakamasa Inoue, Toshiya Wada, Yusuke Kamishima, Koichi Shinoda, Shunsuke Sato

2011 TREC Video Retrieval Evaluation(TRECVID)   2011年

TT+GT at TRECVID 2010 Workshop.

Nakamasa Inoue, Toshiya Wada, Yusuke Kamishima, Koichi Shinoda, Ilseo Kim, Byungki Byun, Chin-Hui Lee

TRECVID 2010 workshop participants notebook papers(TRECVID)   2010年

High-Level Feature Extraction Using SIFT GMMs and Audio Models.

Nakamasa Inoue, Tatsuhiko Saito, Koichi Shinoda, Sadaoki Furui

20th International Conference on Pattern Recognition(ICPR)   3220 - 3223   2010年

TITGT at TRECVID 2009 Workshop.

Nakamasa Inoue, Shanshan Hao, Tatsuhiko Saito, Koichi Shinoda, Ilseo Kim, Chin-Hui Lee

TRECVID 2009 workshop participants notebook papers(TRECVID)   2009年