| 2026 | AAAI | DISCODE: Distribution-Aware Score Decoder for Robust Automatic Evaluation of Image Captioning. | Nakamasa Inoue, Kanoko Goto, Masanari Oi, Martyna Gruszka, Mahiro Ukai, Takumi Hirose, Yusuke Sekikawa |
| 2026 | LREC | Multi-modal, Multi-task, Multi-criteria Automatic Evaluation with Vision Language Models. | Masanari Oi, Masahiro Kaneko, Naoaki Okazaki, Nakamasa Inoue |
| 2026 | WACV | DF-Mamba: Deformable State Space Modeling for 3D Hand Pose Estimation in Interactions. | Yifan Zhou, Takehiko Ohkawa, Guwenxiao Zhou, Kanoko Goto, Takumi Hirose, Yusuke Sekikawa, Nakamasa Inoue |
| 2025 | AAAI | Rectified Lagrangian for Out-of-Distribution Detection in Modern Hopfield Networks. | Ryo Moriai, Nakamasa Inoue, Masayuki Tanaka, Rei Kawakami, Satoshi Ikehata, Ikuro Sato |
| 2025 | ICASSP | Multi-Point Positional Insertion Tuning for Small Object Detection. | Kanoko Goto, Takumi Karasawa, Takumi Hirose, Rei Kawakami, Nakamasa Inoue |
| 2025 | ICASSP | Binary Stochastic Flip Optimization for Training Binary Neural Networks. | Tatsukichi Shibuya, Nakamasa Inoue, Rei Kawakami, Ikuro Sato |
| 2025 | ICCV | Referring Expression Comprehension for Small Objects. | Kanoko Goto, Takumi Hirose, Mahiro Ukai, Shuhei Kurita, Nakamasa Inoue |
| 2025 | ICCV | CityNav: A Large-Scale Dataset for Real-World Aerial Navigation. | Jungdae Lee, Taiki Miyanishi, Shuhei Kurita, Koya Sakamoto, Daichi Azuma, Yutaka Matsuo, Nakamasa Inoue |
| 2025 | ICCV | AgroBench: Vision-Language Model Benchmark in Agriculture. | Risa Shinoda, Nakamasa Inoue, Hirokatsu Kataoka, Masaki Onishi, Yoshitaka Ushiku |
| 2025 | ICCV | AnimalClue: Recognizing Animals by their Traces. | Risa Shinoda, Nakamasa Inoue, Iro Laina, Christian Rupprecht, Hirokatsu Kataoka |
| 2025 | ICCV | GeoProg3D: Compositional Visual Reasoning for City-Scale 3D Language Fields. | Shunsuke Yasuki, Taiki Miyanishi, Nakamasa Inoue, Shuhei Kurita, Koya Sakamoto, Daichi Azuma, Masato Taki, Yutaka Matsuo |
| 2025 | ICLR | 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 |
| 2025 | IROS | Collision Avoidance with Differentiable Occupancy Functions in Object Rearrangement. | Roma Satoh, Nakamasa Inoue, Rei Kawakami |
| 2025 | WACV | Diffusion-Based Generative Regularization for Supervised Discriminative Learning. | Takuya Asakura, Nakamasa Inoue, Koichi Shinoda |
| 2024 | AAAI | Efficient Target Propagation by Deriving Analytical Solution. | Yanhao Bao, Tatsukichi Shibuya, Ikuro Sato, Rei Kawakami, Nakamasa Inoue |
| 2024 | ACCV | 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 |
| 2024 | CVPR | Augmenting Pass Prediction via Imitation Learning in Soccer Simulations. | Takeshi Kaneko, Rei Kawakami, Takeshi Naemura, Nakamasa Inoue |
| 2024 | ECCV | Scaling Backwards: Minimal Synthetic Pre-Training? | Ryo Nakamura, Ryu Tadokoro, Ryosuke Yamada, Yuki M. Asano, Iro Laina, Christian Rupprecht, Nakamasa Inoue, Rio Yokota, Hirokatsu Kataoka |
| 2024 | ECCV | Rethinking Image Super-Resolution from Training Data Perspectives. | Go Ohtani, Ryu Tadokoro, Ryosuke Yamada, Yuki M. Asano, Iro Laina, Christian Rupprecht, Nakamasa Inoue, Rio Yokota, Hirokatsu Kataoka, Yoshimitsu Aoki |
| 2024 | ECCV | Formula-Supervised Visual-Geometric Pre-training. | Ryosuke Yamada, Kensho Hara, Hirokatsu Kataoka, Koshi Makihara, Nakamasa Inoue, Rio Yokota, Yutaka Satoh |
| 2024 | ICASSP | Cubic Knowledge Distillation for Speech Emotion Recognition. | Zhibo Lou, Shinta Otake, Zhengxiao Li, Rei Kawakami, Nakamasa Inoue |
| 2024 | ICASSP | PolarDB: Formula-Driven Dataset for Pre-Training Trajectory Encoders. | Sota Miyamoto, Takuma Yagi, Yuto Makimoto, Mahiro Ukai, Yoshitaka Ushiku, Atsushi Hashimoto, Nakamasa Inoue |
| 2024 | ICASSP | 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 |
| 2024 | ICIP | Spatiality-Aware Prompt Tuning for Few-Shot Small Object Detection. | Takumi Karasawa, Nakamasa Inoue, Rei Kawakami |
| 2024 | ICIP | Pyramid Coder: Hierarchical Code Generator for Compositional Visual Question Answering. | Ruoyue Shen, Nakamasa Inoue, Koichi Shinoda |
| 2024 | ICPR | 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 |
| 2024 | Interspeech | Locally Aligned Rectified Flow Model for Speech Enhancement Towards Single-Step Diffusion. | Zhengxiao Li, Nakamasa Inoue |
| 2023 | AAAI | Fixed-Weight Difference Target Propagation. | Tatsukichi Shibuya, Nakamasa Inoue, Rei Kawakami, Ikuro Sato |
| 2023 | AISTATS | Learning with Partial Forgetting in Modern Hopfield Networks. | Toshihiro Ota, Ikuro Sato, Rei Kawakami, Masayuki Tanaka, Nakamasa Inoue |
| 2023 | CVPR | Visual Atoms: Pre-Training Vision Transformers with Sinusoidal Waves. | Sora Takashima, Ryo Hayamizu, Nakamasa Inoue, Hirokatsu Kataoka, Rio Yokota |
| 2023 | ICASSP | Step restriction for improving adversarial attacks. | Keita Goto, Shinta Otake, Rei Kawakami, Nakamasa Inoue |
| 2023 | ICASSP | Parameter Efficient Transfer Learning for Various Speech Processing Tasks. | Shinta Otake, Rei Kawakami, Nakamasa Inoue |
| 2023 | ICCV | Pre-training Vision Transformers with Very Limited Synthesized Images. | Ryo Nakamura, Hirokatsu Kataoka, Sora Takashima, Edgar Josafat Martinez-Noriega, Rio Yokota, Nakamasa Inoue |
| 2023 | ICCV | SegRCDB: Semantic Segmentation via Formula-Driven Supervised Learning. | Risa Shinoda, Ryo Hayamizu, Kodai Nakashima, Nakamasa Inoue, Rio Yokota, Hirokatsu Kataoka |
| 2023 | WACV | Text-Guided Object Detector for Multi-modal Video Question Answering. | Ruoyue Shen, Nakamasa Inoue, Koichi Shinoda |
| 2022 | AAAI | Can Vision Transformers Learn without Natural Images? | Kodai Nakashima, Hirokatsu Kataoka, Asato Matsumoto, Kenji Iwata, Nakamasa Inoue, Yutaka Satoh |
| 2022 | CVPR | 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 |
| 2022 | ICASSP | Downstream Augmentation Generation For Contrastive Learning. | Tomohiro Hayase, Suguru Yasutomi, Nakamasa Inoue |
| 2022 | ICML | PoF: Post-Training of Feature Extractor for Improving Generalization. | Ikuro Sato, Ryota Yamada, Masayuki Tanaka, Nakamasa Inoue, Rei Kawakami |
| 2022 | WACV | Spatiotemporal Initialization for 3D CNNs with Generated Motion Patterns. | Hirokatsu Kataoka, Kensho Hara, Ryusuke Hayashi, Eisuke Yamagata, Nakamasa Inoue |
| 2021 | ICASSP | Teacher-Assisted Mini-Batch Sampling for Blind Distillation Using Metric Learning. | Nakamasa Inoue |
| 2021 | ICIP | Disentangling Latent Groups Of Factors. | Nakamasa Inoue, Ryota Yamada, Rei Kawakami, Ikuro Sato |
| 2021 | MVA | Learning VAE with Categorical Labels for Generating Conditional Handwritten Characters. | Keita Goto, Nakamasa Inoue |
| 2020 | ACCV | Pre-training Without Natural Images. | Hirokatsu Kataoka, Kazushige Okayasu, Asato Matsumoto, Eisuke Yamagata, Ryosuke Yamada, Nakamasa Inoue, Akio Nakamura, Yutaka Satoh |
| 2020 | ICMI | 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 |
| 2020 | ICPR | Initialization Using Perlin Noise for Training Networks with a Limited Amount of Data. | Nakamasa Inoue, Eisuke Yamagata, Hirokatsu Kataoka |
| 2020 | ICPR | Augmented Cyclic Consistency Regularization for Unpaired Image-to-Image Translation. | Takehiko Ohkawa, Naoto Inoue, Hirokatsu Kataoka, Nakamasa Inoue |
| 2020 | VCIP | Graph Grouping Loss for Metric Learning of Face Image Representations. | Nakamasa Inoue |
| 2019 | ICASSP | Sequence-level Knowledge Distillation for Model Compression of Attention-based Sequence-to-sequence Speech Recognition. | Raden Mu'az Mun'im, Nakamasa Inoue, Koichi Shinoda |
| 2018 | BMVC | A Fine-to-Coarse Convolutional Neural Network for 3D Human Action Recognition. | Thao Le Minh, Nakamasa Inoue, Koichi Shinoda |
| 2018 | ICASSP | Multi-Task Autoencoder for Noise-Robust Speech Recognition. | Haoyi Zhang, Conggui Liu, Nakamasa Inoue, Koichi Shinoda |
| 2018 | Interspeech | Detecting Alzheimer's Disease Using Gated Convolutional Neural Network from Audio Data. | Tifani Warnita, Nakamasa Inoue, Koichi Shinoda |
| 2018 | Interspeech | I-vector Transformation Using Conditional Generative Adversarial Networks for Short Utterance Speaker Verification. | Jiacen Zhang, Nakamasa Inoue, Koichi Shinoda |
| 2014 | ACCV | Spectral Graph Skeletons for 3D Action Recognition. | Tommi Kerola, Nakamasa Inoue, Koichi Shinoda |
| 2014 | MMM | Event Detection by Velocity Pyramid. | Zhuolin Liang, Nakamasa Inoue, Koichi Shinoda |
| 2013 | ICCV | Neighbor-to-Neighbor Search for Fast Coding of Feature Vectors. | Nakamasa Inoue, Koichi Shinoda |
| 2012 | ACCV | q-Gaussian Mixture Models Based on Non-extensive Statistics for Image and Video Semantic Indexing. | Nakamasa Inoue, Koichi Shinoda |
| 2012 | ICIP | Multimedia event detection using GMM supervectors and SVMS. | Yusuke Kamishima, Nakamasa Inoue, Koichi Shinoda, Shunsuke Sato |
| 2010 | ICPR | High-Level Feature Extraction Using SIFT GMMs and Audio Models. | Nakamasa Inoue, Tatsuhiko Saito, Koichi Shinoda, Sadaoki Furui |