Nakamasa Inoue

143 papers A* 22A 9B 7C 1Misc 12Journal 57Unranked 35

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AnimalCLAP: Taxonomy-Aware Language-Audio Pretraining for Species Recognition and Trait Inference. CoRR Risa Shinoda, Kaede Shiohara, Nakamasa Inoue, Hiroaki Santo, Fumio Okura
2026	J	`jnl`	Autoregressive Direct Preference Optimization. CoRR Masanari Oi, Mahiro Ukai, Masahiro Kaneko, Naoaki Okazaki, Nakamasa Inoue
2026	J	`jnl`	BioVITA: Biological Dataset, Model, and Benchmark for Visual-Textual-Acoustic Alignment. CoRR Risa Shinoda, Kaede Shiohara, Nakamasa Inoue, Kuniaki Saito, Hiroaki Santo, Fumio Okura
2026	A*	`conf`	DISCODE: Distribution-Aware Score Decoder for Robust Automatic Evaluation of Image Captioning. AAAI Nakamasa Inoue, Kanoko Goto, Masanari Oi, Martyna Gruszka, Mahiro Ukai, Takumi Hirose, Yusuke Sekikawa
2026	J	`jnl`	EC-Bench: Enumeration and Counting Benchmark for Ultra-Long Videos. CoRR Fumihiko Tsuchiya, Taiki Miyanishi, Mahiro Ukai, Nakamasa Inoue, Shuhei Kurita, Yusuke Iwasawa, Yutaka Matsuo
2026	J	`jnl`	From Correspondence to Actions: Human-Like Multi-Image Spatial Reasoning in Multi-modal Large Language Models. CoRR Masanari Oi, Koki Maeda, Ryuto Koike, Daisuke Oba, Nakamasa Inoue, Naoaki Okazaki
2026	J	`jnl`	PhysQuantAgent: An Inference Pipeline of Mass Estimation for Vision-Language Models. CoRR Hisayuki Yokomizo, Taiki Miyanishi, Yan Gang, Shuhei Kurita, Nakamasa Inoue, Yusuke Iwasawa
2025	J	`jnl`	AgroBench: Vision-Language Model Benchmark in Agriculture. CoRR Risa Shinoda, Nakamasa Inoue, Hirokatsu Kataoka, Masaki Onishi, Yoshitaka Ushiku
2025	J	`jnl`	AnimalClue: Recognizing Animals by their Traces. CoRR Risa Shinoda, Nakamasa Inoue, Iro Laina, Christian Rupprecht, Hirokatsu Kataoka
2025	Misc	`conf`	Binary Stochastic Flip Optimization for Training Binary Neural Networks. ICASSP Tatsukichi Shibuya, Nakamasa Inoue, Rei Kawakami, Ikuro Sato
2025	A	`conf`	Collision Avoidance with Differentiable Occupancy Functions in Object Rearrangement. IROS Roma Satoh, Nakamasa Inoue, Rei Kawakami
2025	J	`jnl`	ContextualCoder: Adaptive In-Context Prompting for Programmatic Visual Question Answering. IEEE Trans. Multim. Ruoyue Shen, Nakamasa Inoue, Dayan Guan, Rizhao Cai, Alex C. Kot, Koichi Shinoda
2025	—	`conf`	Contracted Gram Tensor Distillation for Object Detection. MMAsia Takumi Karasawa, Nakamasa Inoue, Rei Kawakami
2025	J	`jnl`	DF-Mamba: Deformable State Space Modeling for 3D Hand Pose Estimation in Interactions. CoRR Yifan Zhou, Takehiko Ohkawa, Guwenxiao Zhou, Kanoko Goto, Takumi Hirose, Yusuke Sekikawa, Nakamasa Inoue
2025	J	`jnl`	DISCODE: Distribution-Aware Score Decoder for Robust Automatic Evaluation of Image Captioning. CoRR Nakamasa Inoue, Kanoko Goto, Masanari Oi, Martyna Gruszka, Mahiro Ukai, Takumi Hirose, Yusuke Sekikawa
2025	A	`conf`	Diffusion-Based Generative Regularization for Supervised Discriminative Learning. WACV Takuya Asakura, Nakamasa Inoue, Koichi Shinoda
2025	J	`jnl`	Free Random Projection for In-Context Reinforcement Learning. CoRR Tomohiro Hayase, Benoit Collins, Nakamasa Inoue
2025	J	`jnl`	GeoProg3D: Compositional Visual Reasoning for City-Scale 3D Language Fields. CoRR Shunsuke Yasuki, Taiki Miyanishi, Nakamasa Inoue, Shuhei Kurita, Koya Sakamoto, Daichi Azuma, Masato Taki, Yutaka Matsuo
2025	A*	`conf`	HALL-E: Hierarchical Neural Codec Language Model for Minute-Long Zero-Shot Text-to-Speech Synthesis. ICLR Yuto Nishimura, Takumi Hirose, Masanari Ohi, Hideki Nakayama, Nakamasa Inoue
2025	J	`jnl`	Masked Gated Linear Unit. CoRR Yukito Tajima, Nakamasa Inoue, Yusuke Sekikawa, Ikuro Sato, Rio Yokota
2025	Misc	`conf`	Multi-Point Positional Insertion Tuning for Small Object Detection. ICASSP Kanoko Goto, Takumi Karasawa, Takumi Hirose, Rei Kawakami, Nakamasa Inoue
2025	J	`jnl`	On the Relationship Between Double Descent of CNNs and Shape/Texture Bias Under Learning Process. CoRR Shun Iwase, Shuya Takahashi, Nakamasa Inoue, Rio Yokota, Ryo Nakamura, Hirokatsu Kataoka
2025	J	`jnl`	PowerCLIP: Powerset Alignment for Contrastive Pre-Training. CoRR Masaki Kawamura, Nakamasa Inoue, Rintaro Yanagi, Hirokatsu Kataoka, Rio Yokota
2025	A*	`conf`	Rectified Lagrangian for Out-of-Distribution Detection in Modern Hopfield Networks. AAAI Ryo Moriai, Nakamasa Inoue, Masayuki Tanaka, Rei Kawakami, Satoshi Ikehata, Ikuro Sato
2025	J	`jnl`	Rectified Lagrangian for Out-of-Distribution Detection in Modern Hopfield Networks. CoRR Ryo Moriai, Nakamasa Inoue, Masayuki Tanaka, Rei Kawakami, Satoshi Ikehata, Ikuro Sato
2025	J	`jnl`	Referring Expression Comprehension for Small Objects. CoRR Kanoko Goto, Takumi Hirose, Mahiro Ukai, Shuhei Kurita, Nakamasa Inoue
2025	A*	`conf`	STATUS Bench: A Rigorous Benchmark for Evaluating Object State Understanding in Vision-Language Models. ACM Multimedia Mahiro Ukai, Shuhei Kurita, Nakamasa Inoue
2025	J	`jnl`	STATUS Bench: A Rigorous Benchmark for Evaluating Object State Understanding in Vision-Language Models. CoRR Mahiro Ukai, Shuhei Kurita, Nakamasa Inoue
2024	—	`conf`	A Simple Finetuning Strategy Based on Bias-Variance Ratios of Layer-Wise Gradients. ACCV (8) Mao Tomita, Ikuro Sato, Rei Kawakami, Nakamasa Inoue, Satoshi Ikehata, Masayuki Tanaka
2024	A*	`conf`	AdaCoder: Adaptive Prompt Compression for Programmatic Visual Question Answering. ACM Multimedia Mahiro Ukai, Shuhei Kurita, Atsushi Hashimoto, Yoshitaka Ushiku, Nakamasa Inoue
2024	J	`jnl`	AdaCoder: Adaptive Prompt Compression for Programmatic Visual Question Answering. CoRR Mahiro Ukai, Shuhei Kurita, Atsushi Hashimoto, Yoshitaka Ushiku, Nakamasa Inoue
2024	—	`conf`	Augmenting Pass Prediction via Imitation Learning in Soccer Simulations. CVPR Workshops Takeshi Kaneko, Rei Kawakami, Takeshi Naemura, Nakamasa Inoue
2024	J	`jnl`	CityNav: Language-Goal Aerial Navigation Dataset with Geographic Information. CoRR Jungdae Lee, Taiki Miyanishi, Shuhei Kurita, Koya Sakamoto, Daichi Azuma, Yutaka Matsuo, Nakamasa Inoue
2024	Misc	`conf`	Cubic Knowledge Distillation for Speech Emotion Recognition. ICASSP Zhibo Lou, Shinta Otake, Zhengxiao Li, Rei Kawakami, Nakamasa Inoue
2024	J	`jnl`	ELP-Adapters: Parameter Efficient Adapter Tuning for Various Speech Processing Tasks. CoRR Nakamasa Inoue, Shinta Otake, Takumi Hirose, Masanari Ohi, Rei Kawakami
2024	J	`jnl`	ELP-Adapters: Parameter Efficient Adapter Tuning for Various Speech Processing Tasks. IEEE ACM Trans. Audio Speech Lang. Process. Nakamasa Inoue, Shinta Otake, Takumi Hirose, Masanari Ohi, Rei Kawakami
2024	A*	`conf`	Efficient Target Propagation by Deriving Analytical Solution. AAAI Yanhao Bao, Tatsukichi Shibuya, Ikuro Sato, Rei Kawakami, Nakamasa Inoue
2024	—	`conf`	Formula-Supervised Visual-Geometric Pre-training. ECCV (22) Ryosuke Yamada, Kensho Hara, Hirokatsu Kataoka, Koshi Makihara, Nakamasa Inoue, Rio Yokota, Yutaka Satoh
2024	J	`jnl`	Formula-Supervised Visual-Geometric Pre-training. CoRR Ryosuke Yamada, Kensho Hara, Hirokatsu Kataoka, Koshi Makihara, Nakamasa Inoue, Rio Yokota, Yutaka Satoh
2024	J	`jnl`	HALL-E: Hierarchical Neural Codec Language Model for Minute-Long Zero-Shot Text-to-Speech Synthesis. CoRR Yuto Nishimura, Takumi Hirose, Masanari Ohi, Hideki Nakayama, Nakamasa Inoue
2024	J	`jnl`	HarmonicEval: Multi-modal, Multi-task, Multi-criteria Automatic Evaluation Using a Vision Language Model. CoRR Masanari Ohi, Masahiro Kaneko, Naoaki Okazaki, Nakamasa Inoue
2024	A	`conf`	Locally Aligned Rectified Flow Model for Speech Enhancement Towards Single-Step Diffusion. INTERSPEECH Zhengxiao Li, Nakamasa Inoue
2024	J	`jnl`	Multi-Point Positional Insertion Tuning for Small Object Detection. CoRR Kanoko Goto, Takumi Karasawa, Takumi Hirose, Rei Kawakami, Nakamasa Inoue
2024	—	`conf`	On the Relationship Between Double Descent of CNNs and Shape/Texture Bias Under Learning Process. ICPR (25) Shun Iwase, Shuya Takahashi, Nakamasa Inoue, Rio Yokota, Ryo Nakamura, Hirokatsu Kataoka, Eisaku Maeda
2024	Misc	`conf`	PolarDB: Formula-Driven Dataset for Pre-Training Trajectory Encoders. ICASSP Sota Miyamoto, Takuma Yagi, Yuto Makimoto, Mahiro Ukai, Yoshitaka Ushiku, Atsushi Hashimoto, Nakamasa Inoue
2024	Misc	`conf`	Pseudo-Outlier Synthesis Using Q-Gaussian Distributions for Out-of-Distribution Detection. ICASSP Ryo Nakamura, Ryu Tadokoro, Eisuke Yamagata, Yusuke Kondo, Kensho Hara, Hirokatsu Kataoka, Nakamasa Inoue
2024	B	`conf`	Pyramid Coder: Hierarchical Code Generator for Compositional Visual Question Answering. ICIP Ruoyue Shen, Nakamasa Inoue, Koichi Shinoda
2024	J	`jnl`	Pyramid Coder: Hierarchical Code Generator for Compositional Visual Question Answering. CoRR Ruoyue Shen, Nakamasa Inoue, Koichi Shinoda
2024	—	`conf`	Rethinking Image Super-Resolution from Training Data Perspectives. ECCV (17) Go Ohtani, Ryu Tadokoro, Ryosuke Yamada, Yuki M. Asano, Iro Laina, Christian Rupprecht, Nakamasa Inoue, Rio Yokota, Hirokatsu Kataoka, Yoshimitsu Aoki
2024	J	`jnl`	Rethinking Image Super-Resolution from Training Data Perspectives. CoRR Go Ohtani, Ryu Tadokoro, Ryosuke Yamada, Yuki M. Asano, Iro Laina, Christian Rupprecht, Nakamasa Inoue, Rio Yokota, Hirokatsu Kataoka, Yoshimitsu Aoki
2024	—	`conf`	Scaling Backwards: Minimal Synthetic Pre-Training? ECCV (15) Ryo Nakamura, Ryu Tadokoro, Ryosuke Yamada, Yuki M. Asano, Iro Laina, Christian Rupprecht, Nakamasa Inoue, Rio Yokota, Hirokatsu Kataoka
2024	J	`jnl`	Scaling Backwards: Minimal Synthetic Pre-training? CoRR Ryo Nakamura, Ryu Tadokoro, Ryosuke Yamada, Yuki M. Asano, Iro Laina, Christian Rupprecht, Nakamasa Inoue, Rio Yokota, Hirokatsu Kataoka
2024	B	`conf`	Spatiality-Aware Prompt Tuning for Few-Shot Small Object Detection. ICIP Takumi Karasawa, Nakamasa Inoue, Rei Kawakami
2023	A*	`conf`	CityRefer: Geography-aware 3D Visual Grounding Dataset on City-scale Point Cloud Data. NeurIPS Taiki Miyanishi, Fumiya Kitamori, Shuhei Kurita, Jungdae Lee, Motoaki Kawanabe, Nakamasa Inoue
2023	J	`jnl`	CityRefer: Geography-aware 3D Visual Grounding Dataset on City-scale Point Cloud Data. CoRR Taiki Miyanishi, Fumiya Kitamori, Shuhei Kurita, Jungdae Lee, Motoaki Kawanabe, Nakamasa Inoue
2023	A*	`conf`	Fixed-Weight Difference Target Propagation. AAAI Tatsukichi Shibuya, Nakamasa Inoue, Rei Kawakami, Ikuro Sato
2023	A	`conf`	Learning with Partial Forgetting in Modern Hopfield Networks. AISTATS Toshihiro Ota, Ikuro Sato, Rei Kawakami, Masayuki Tanaka, Nakamasa Inoue
2023	Misc	`conf`	Parameter Efficient Transfer Learning for Various Speech Processing Tasks. ICASSP Shinta Otake, Rei Kawakami, Nakamasa Inoue
2023	A*	`conf`	Pre-training Vision Transformers with Very Limited Synthesized Images. ICCV Ryo Nakamura, Hirokatsu Kataoka, Sora Takashima, Edgar Josafat Martinez-Noriega, Rio Yokota, Nakamasa Inoue
2023	J	`jnl`	Pre-training Vision Transformers with Very Limited Synthesized Images. CoRR Ryo Nakamura, Hirokatsu Kataoka, Sora Takashima, Edgar Josafat Martinez-Noriega, Rio Yokota, Nakamasa Inoue
2023	A*	`conf`	Scale-space Tokenization for Improving the Robustness of Vision Transformers. ACM Multimedia Lei Xu, Rei Kawakami, Nakamasa Inoue
2023	A*	`conf`	SegRCDB: Semantic Segmentation via Formula-Driven Supervised Learning. ICCV Risa Shinoda, Ryo Hayamizu, Kodai Nakashima, Nakamasa Inoue, Rio Yokota, Hirokatsu Kataoka
2023	J	`jnl`	SegRCDB: Semantic Segmentation via Formula-Driven Supervised Learning. CoRR Risa Shinoda, Ryo Hayamizu, Kodai Nakashima, Nakamasa Inoue, Rio Yokota, Hirokatsu Kataoka
2023	Misc	`conf`	Step restriction for improving adversarial attacks. ICASSP Keita Goto, Shinta Otake, Rei Kawakami, Nakamasa Inoue
2023	A	`conf`	Text-Guided Object Detector for Multi-modal Video Question Answering. WACV Ruoyue Shen, Nakamasa Inoue, Koichi Shinoda
2023	A*	`conf`	Visual Atoms: Pre-Training Vision Transformers with Sinusoidal Waves. CVPR Sora Takashima, Ryo Hayamizu, Nakamasa Inoue, Hirokatsu Kataoka, Rio Yokota
2023	J	`jnl`	Visual Atoms: Pre-training Vision Transformers with Sinusoidal Waves. CoRR Sora Takashima, Ryo Hayamizu, Nakamasa Inoue, Hirokatsu Kataoka, Rio Yokota
2022	A*	`conf`	Can Vision Transformers Learn without Natural Images? AAAI Kodai Nakashima, Hirokatsu Kataoka, Asato Matsumoto, Kenji Iwata, Nakamasa Inoue, Yutaka Satoh
2022	Misc	`conf`	Downstream Augmentation Generation For Contrastive Learning. ICASSP Tomohiro Hayase, Suguru Yasutomi, Nakamasa Inoue
2022	J	`jnl`	Fixed-Weight Difference Target Propagation. CoRR Tatsukichi Shibuya, Nakamasa Inoue, Rei Kawakami, Ikuro Sato
2022	J	`jnl`	Parameter Efficient Transfer Learning for Various Speech Processing Tasks. CoRR Shinta Otake, Rei Kawakami, Nakamasa Inoue
2022	A*	`conf`	PoF: Post-Training of Feature Extractor for Improving Generalization. ICML Ikuro Sato, Ryota Yamada, Masayuki Tanaka, Nakamasa Inoue, Rei Kawakami
2022	J	`jnl`	PoF: Post-Training of Feature Extractor for Improving Generalization. CoRR Ikuro Sato, Ryota Yamada, Masayuki Tanaka, Nakamasa Inoue, Rei Kawakami
2022	J	`jnl`	Pre-Training Without Natural Images. Int. J. Comput. Vis. Hirokatsu Kataoka, Kazushige Okayasu, Asato Matsumoto, Eisuke Yamagata, Ryosuke Yamada, Nakamasa Inoue, Akio Nakamura, Yutaka Satoh
2022	A*	`conf`	Replacing Labeled Real-image Datasets with Auto-generated Contours. CVPR Hirokatsu Kataoka, Ryo Hayamizu, Ryosuke Yamada, Kodai Nakashima, Sora Takashima, Xinyu Zhang, Edgar Josafat Martinez-Noriega, Nakamasa Inoue, Rio Yokota
2022	J	`jnl`	Replacing Labeled Real-image Datasets with Auto-generated Contours. CoRR Hirokatsu Kataoka, Ryo Hayamizu, Ryosuke Yamada, Kodai Nakashima, Sora Takashima, Xinyu Zhang, Edgar Josafat Martinez-Noriega, Nakamasa Inoue, Rio Yokota
2022	A	`conf`	Spatiotemporal Initialization for 3D CNNs with Generated Motion Patterns. WACV Hirokatsu Kataoka, Kensho Hara, Ryusuke Hayashi, Eisuke Yamagata, Nakamasa Inoue
2021	—	`conf`	Augmentation-Agnostic Regularization for Unsupervised Contrastive Learning with Its Application to Speaker Verification. APSIPA ASC Nakamasa Inoue, Tsubasa Maruyama, Keita Goto
2021	J	`jnl`	Can Vision Transformers Learn without Natural Images? CoRR Kodai Nakashima, Hirokatsu Kataoka, Asato Matsumoto, Kenji Iwata, Nakamasa Inoue
2021	B	`conf`	Disentangling Latent Groups Of Factors. ICIP Nakamasa Inoue, Ryota Yamada, Rei Kawakami, Ikuro Sato
2021	—	`conf`	Formula-driven Supervised Learning with Recursive Tiling Patterns. ICCVW Hirokatsu Kataoka, Asato Matsumoto, Ryosuke Yamada, Yutaka Satoh, Eisuke Yamagata, Nakamasa Inoue
2021	J	`jnl`	Initialization Using Perlin Noise for Training Networks with a Limited Amount of Data. CoRR Nakamasa Inoue, Eisuke Yamagata, Hirokatsu Kataoka
2021	Misc	`conf`	Learning VAE with Categorical Labels for Generating Conditional Handwritten Characters. MVA Keita Goto, Nakamasa Inoue
2021	J	`jnl`	Pre-training without Natural Images. CoRR Hirokatsu Kataoka, Kazushige Okayasu, Asato Matsumoto, Eisuke Yamagata, Ryosuke Yamada, Nakamasa Inoue, Akio Nakamura, Yutaka Satoh
2021	J	`jnl`	Speech Paralinguistic Approach for Detecting Dementia Using Gated Convolutional Neural Network. IEICE Trans. Inf. Syst. Mariana Rodrigues Makiuchi, Tifani Warnita, Nakamasa Inoue, Koichi Shinoda, Michitaka Yoshimura, Momoko Kitazawa, Kei Funaki, Yoko Eguchi, Taishiro Kishimoto
2021	Misc	`conf`	Teacher-Assisted Mini-Batch Sampling for Blind Distillation Using Metric Learning. ICASSP Nakamasa Inoue
2020	B	`conf`	Augmented Cyclic Consistency Regularization for Unpaired Image-to-Image Translation. ICPR Takehiko Ohkawa, Naoto Inoue, Hirokatsu Kataoka, Nakamasa Inoue
2020	J	`jnl`	Augmented Cyclic Consistency Regularization for Unpaired Image-to-Image Translation. CoRR Takehiko Ohkawa, Naoto Inoue, Hirokatsu Kataoka, Nakamasa Inoue
2020	—	`conf`	Closed-Form Pre-Training for Small-Sample Environmental Sound Recognition. APSIPA Nakamasa Inoue, Keita Goto
2020	—	`conf`	Deep Video Understanding of Character Relationships in Movies. ICMI Companion Yang Lu, Asri Rizki Yuliani, Keisuke Ishikawa, Ronaldo Prata Amorim, Roland Hartanto, Nakamasa Inoue, Kuniaki Uto, Koichi Shinoda
2020	C	`conf`	Graph Grouping Loss for Metric Learning of Face Image Representations. VCIP Nakamasa Inoue
2020	B	`conf`	Initialization Using Perlin Noise for Training Networks with a Limited Amount of Data. ICPR Nakamasa Inoue, Eisuke Yamagata, Hirokatsu Kataoka
2020	—	`conf`	Optimizing Speaker Embeddings using Meta-Training Sets. APSIPA Nakamasa Inoue, Keita Goto
2020	—	`conf`	Pre-training Without Natural Images. ACCV (6) Hirokatsu Kataoka, Kazushige Okayasu, Asato Matsumoto, Eisuke Yamagata, Ryosuke Yamada, Nakamasa Inoue, Akio Nakamura, Yutaka Satoh
2020	—	`conf`	Quasi-Newton Adversarial Attacks on Speaker Verification Systems. APSIPA Keita Goto, Nakamasa Inoue
2020	—	`conf`	Semi-Supervised Contrastive Learning with Generalized Contrastive Loss and Its Application to Speaker Recognition. APSIPA Nakamasa Inoue, Keita Goto
2020	J	`jnl`	Semi-Supervised Contrastive Learning with Generalized Contrastive Loss and Its Application to Speaker Recognition. CoRR Nakamasa Inoue, Keita Goto
2020	J	`jnl`	Speech Paralinguistic Approach for Detecting Dementia Using Gated Convolutional Neural Network. CoRR Tifani Warnita, Mariana Rodrigues Makiuchi, Nakamasa Inoue, Koichi Shinoda, Michitaka Yoshimura, Momoko Kitazawa, Kei Funaki, Yoko Eguchi, Taishiro Kishimoto
2020	—	`conf`	Tokyo Tech at TRECVID 2020: Relation Modeling for Video Action Detection. TRECVID Ronaldo Prata Amorim, Nakamasa Inoue, Koichi Shinoda
2019	Misc	`conf`	Sequence-level Knowledge Distillation for Model Compression of Attention-based Sequence-to-sequence Speech Recognition. ICASSP Raden Mu'az Mun'im, Nakamasa Inoue, Koichi Shinoda
2018	A	`conf`	A Fine-to-Coarse Convolutional Neural Network for 3D Human Action Recognition. BMVC Thao Le Minh, Nakamasa Inoue, Koichi Shinoda
2018	J	`jnl`	A Fine-to-Coarse Convolutional Neural Network for 3D Human Action Recognition. CoRR Thao Le Minh, Nakamasa Inoue, Koichi Shinoda
2018	A	`conf`	Detecting Alzheimer's Disease Using Gated Convolutional Neural Network from Audio Data. INTERSPEECH Tifani Warnita, Nakamasa Inoue, Koichi Shinoda
2018	J	`jnl`	Detecting Alzheimer's Disease Using Gated Convolutional Neural Network from Audio Data. CoRR Tifani Warnita, Nakamasa Inoue, Koichi Shinoda
2018	A*	`conf`	Few-Shot Adaptation for Multimedia Semantic Indexing. ACM Multimedia Nakamasa Inoue, Koichi Shinoda
2018	J	`jnl`	Few-Shot Adaptation for Multimedia Semantic Indexing. CoRR Nakamasa Inoue, Koichi Shinoda
2018	A	`conf`	I-vector Transformation Using Conditional Generative Adversarial Networks for Short Utterance Speaker Verification. INTERSPEECH Jiacen Zhang, Nakamasa Inoue, Koichi Shinoda
2018	J	`jnl`	I-vector Transformation Using Conditional Generative Adversarial Networks for Short Utterance Speaker Verification. CoRR Jiacen Zhang, Nakamasa Inoue, Koichi Shinoda
2018	Misc	`conf`	Multi-Task Autoencoder for Noise-Robust Speech Recognition. ICASSP Haoyi Zhang, Conggui Liu, Nakamasa Inoue, Koichi Shinoda
2018	J	`jnl`	Sequence-Level Knowledge Distillation for Model Compression of Attention-based Sequence-to-Sequence Speech Recognition. CoRR Raden Mu'az Mun'im, Nakamasa Inoue, Koichi Shinoda
2018	—	`conf`	VANT at TRECVID 2018. TRECVID Nakamasa Inoue, Chihiro Shiraishi, Aleksandr Drozd, Koichi Shinoda, Shi-wook Lee, Alex ChiChung Kot
2017	—	`conf`	A unified network for multi-speaker speech recognition with multi-channel recordings. APSIPA Conggui Liu, Nakamasa Inoue, Koichi Shinoda
2017	A*	`conf`	CTC Network with Statistical Language Modeling for Action Sequence Recognition in Videos. ACM Multimedia (Thematic Workshops) Mengxi Lin, Nakamasa Inoue, Koichi Shinoda
2017	J	`jnl`	Cross-view human action recognition from depth maps using spectral graph sequences. Comput. Vis. Image Underst. Tommi Kerola, Nakamasa Inoue, Koichi Shinoda
2017	—	`conf`	Multimodal speech recognition using mouth images from depth camera. APSIPA Yuki Yasui, Nakamasa Inoue, Koji Iwano, Koichi Shinoda
2017	—	`conf`	TokyoTech-AIST at TRECVID 2017: Multimedia Event Detection Using Deep CNNs and Zero-Shot Classiers. TRECVID Nakamasa Inoue, Ryosuke Yamamoto, Na Rong, Satoshi Kanai, Junsuke Masada, Chihiro Shiraishi, Shi-wook Lee, Koichi Shinoda
2017	—	`conf`	User adaptation of convolutional neural network for human activity recognition. EUSIPCO Shinya Matsui, Nakamasa Inoue, Yuko Akagi, Goshu Nagino, Koichi Shinoda
2016	A*	`conf`	Adaptation of Word Vectors using Tree Structure for Visual Semantics. ACM Multimedia Nakamasa Inoue, Koichi Shinoda
2016	J	`jnl`	Fast Coding of Feature Vectors Using Neighbor-to-Neighbor Search. IEEE Trans. Pattern Anal. Mach. Intell. Nakamasa Inoue, Koichi Shinoda
2016	—	`conf`	Graph regularized implicit pose for 3D human action recognition. APSIPA Tommi Kerola, Nakamasa Inoue, Koichi Shinoda
2016	—	`conf`	Tokyo Tech at MediaEval 2016 Multimodal Person Discovery in Broadcast TV task. MediaEval Fumito Nishi, Nakamasa Inoue, Koji Iwano, Koichi Shinoda
2016	—	`conf`	TokyoTech at TRECVID 2016. TRECVID Nakamasa Inoue, Ryosuke Yamamoto, Na Rong, Koichi Shinoda
2015	—	`conf`	Combining Audio Features and Visual I-Vector @ MediaEval 2015 Multimodal Person Discovery in Broadcast TV. MediaEval Fumito Nishi, Nakamasa Inoue, Koichi Shinoda
2015	—	`conf`	TokyoTech at TRECVID 2015. TRECVID Nakamasa Inoue, Hai Dang Tran, Ryosuke Yamamoto, Koichi Shinoda
2015	A*	`conf`	Vocabulary Expansion Using Word Vectors for Video Semantic Indexing. ACM Multimedia Nakamasa Inoue, Koichi Shinoda
2014	—	`conf`	Event Detection by Velocity Pyramid. MMM (1) Zhuolin Liang, Nakamasa Inoue, Koichi Shinoda
2014	—	`conf`	Spectral Graph Skeletons for 3D Action Recognition. ACCV (4) Tommi Kerola, Nakamasa Inoue, Koichi Shinoda
2014	—	`conf`	TokyoTech-Waseda at TRECVID 2014. TRECVID Nakamasa Inoue, Zhuolin Liang, Mengxi Lin, Hai Dang Tran, Koichi Shinoda, Xuefeng Zhang, Kazuya Ueki
2014	A*	`conf`	n-gram Models for Video Semantic Indexing. ACM Multimedia Nakamasa Inoue, Koichi Shinoda
2013	J	`jnl`	Event detection in consumer videos using GMM supervectors and SVMs. EURASIP J. Image Video Process. Yusuke Kamishima, Nakamasa Inoue, Koichi Shinoda
2013	A*	`conf`	Neighbor-to-Neighbor Search for Fast Coding of Feature Vectors. ICCV Nakamasa Inoue, Koichi Shinoda
2013	J	`jnl`	Reusing Speech Techniques for Video Semantic Indexing [Applications Corner]. IEEE Signal Process. Mag. Koichi Shinoda, Nakamasa Inoue
2013	—	`conf`	TokyoTechCanon at TRECVID 2013. TRECVID Nakamasa Inoue, Kotaro Mori, Zhuolin Liang, Mengxi Lin, Koichi Shinoda, Shunsuke Sato
2013	J	`jnl`	q-Gaussian mixture models for image and video semantic indexing. J. Vis. Commun. Image Represent. Nakamasa Inoue, Koichi Shinoda
2012	J	`jnl`	A Fast and Accurate Video Semantic-Indexing System Using Fast MAP Adaptation and GMM Supervectors. IEEE Trans. Multim. Nakamasa Inoue, Koichi Shinoda
2012	B	`conf`	Multimedia event detection using GMM supervectors and SVMS. ICIP Yusuke Kamishima, Nakamasa Inoue, Koichi Shinoda, Shunsuke Sato
2012	—	`conf`	TokyoTechCanon at TRECVID 2012. TRECVID Nakamasa Inoue, Yusuke Kamishima, Kotaro Mori, Koichi Shinoda
2012	—	`conf`	q-Gaussian Mixture Models Based on Non-extensive Statistics for Image and Video Semantic Indexing. ACCV (2) Nakamasa Inoue, Koichi Shinoda
2011	A*	`conf`	A fast MAP adaptation technique for gmm-supervector-based video semantic indexing systems. ACM Multimedia Nakamasa Inoue, Koichi Shinoda
2011	—	`conf`	TokyoTech+Canon at TRECVID 2011. TRECVID Nakamasa Inoue, Toshiya Wada, Yusuke Kamishima, Koichi Shinoda, Shunsuke Sato
2010	B	`conf`	High-Level Feature Extraction Using SIFT GMMs and Audio Models. ICPR Nakamasa Inoue, Tatsuhiko Saito, Koichi Shinoda, Sadaoki Furui
2010	—	`conf`	TT+GT at TRECVID 2010 Workshop. TRECVID Nakamasa Inoue, Toshiya Wada, Yusuke Kamishima, Koichi Shinoda, Ilseo Kim, Byungki Byun, Chin-Hui Lee
2009	—	`conf`	TITGT at TRECVID 2009 Workshop. TRECVID Nakamasa Inoue, Shanshan Hao, Tatsuhiko Saito, Koichi Shinoda, Ilseo Kim, Chin-Hui Lee