Masayuki Tanaka 研究室

主宰者：Masayuki Tanaka

東京工業大学

AI 要約（直近 5 年の研究成果）

要約はまだ生成されていません。

※ AI（Claude）が、公開されている論文要旨から研究の問い・手法・主要な発見を事実情報として抽出・再構成して自動生成しています。誤りを含む可能性があるため、正確性は研究室公式情報でご確認ください。

外部リンク

研究成果（60 件）

[2026] FlatFace: Improve Face Recognition by Sharpness-aware Minimization
DOI: https://doi.org/10.2352/ei.2026.38.6.iss-278
[2025] [Paper] Appearance-and-Spectral-Based Identification System for Penguin Individuals
DOI: https://doi.org/10.3169/mta.13.211
[2025] Polarization Denoising and Demosaicking: Dataset and Baseline Method
DOI: https://doi.org/10.1109/icip55913.2025.11084558
[2025] Touchscreen Tasks for Cognitive Testing in Domestic Goats (Capra hircus): A Pilot Study Using Odd-Item Search Training
DOI: https://doi.org/10.3390/ani15142115
[2025] Rectified Lagrangian for Out-of-Distribution Detection in Modern Hopfield Networks
DOI: https://doi.org/10.1609/aaai.v39i18.34153
[2025] Acquisition of full Mueller matrix distribution of cancer tissue with near-infrared polarization-probe polarization-imaging and search for its optimal polarization conditions
DOI: https://doi.org/10.1364/oe.559006
[2025] Improving Sharpness-Aware Minimization Using Label Smoothing and Adaptive Adversarial Cross-Entropy Loss
DOI: https://doi.org/10.1109/access.2025.3578265
[2024] Adaptive Adversarial Cross-Entropy Loss for Sharpness-Aware Minimization
DOI: https://doi.org/10.1109/icip51287.2024.10647582
[2024] Object Detection Framework Using Multiple Tone Mappings on High-Dynamic-Range Images
DOI: https://doi.org/10.1109/icip51287.2024.10647502
[2024] Hyperspectral Image Dataset for Individual Penguin Identification
DOI: https://doi.org/10.1109/igarss53475.2024.10642522

続きを表示（残り 50 件）

[2024] Multi-Modal Pedestrian Detection via Dual-Regressor and Object-Based Training for One-Stage Object Detection Network
[2024] Diffusion-Based Adaptation for Classification of Unknown Degraded Images
DOI: https://doi.org/10.1109/cvprw63382.2024.00605
[2024] Gradient-based Image Visualization for Noisy LWIR Image
DOI: https://doi.org/10.2352/ei.2024.36.15.coimg-144
[2024] Distribution-Aware State Update Rule for Modern Hopfield Networks
[2024] Joint Design of Camera Spectral Sensitivity and Color Correction Matrix with Noise Consideration
DOI: https://doi.org/10.2352/ei.2024.36.7.iss-286
[2024] Multi-Modal Pedestrian Detection Via Dual-Regressor and Object-Based Training for One-Stage Object Detection Network
DOI: https://doi.org/10.2352/ei.2024.36.17.avm-111
[2024] Degraded Image Classification using Knowledge Distillation and Robust Data Augmentations
DOI: https://doi.org/10.1587/transinf.2024edp7016
[2024] Visualization and quantitative evaluation of fog and smoke activity by using LD mini-Lidar
DOI: https://doi.org/10.1117/12.3043051
[2024] A Simple Fine-Tuning Strategy Based on Bias-Variance Ratios of Layer-Wise Gradients
[2023] Evaluating active learning for blind imbalanced domains
DOI: https://doi.org/10.2352/ei.2023.35.9.ipas-288
[2023] High Dynamic Range Imaging with Multi-Exposure Binning on Quad Bayer Color Filter Array
DOI: https://doi.org/10.1109/icip49359.2023.10222048
[2023] Deep snapshot HDR imaging using multi-exposure color filter array
DOI: https://doi.org/10.1007/s00371-023-03032-4
[2023] ScrambleMix: A Privacy-Preserving Image Processing for Edge-Cloud Machine Learning
[2023] Deformable element-wise dynamic convolution
DOI: https://doi.org/10.1117/1.jei.32.5.053029
[2023] Multi-modal pedestrian detection with misalignment based on modal-wise regression and multi-modal IoU
DOI: https://doi.org/10.1117/1.jei.32.1.013025
[2023] Multi-modal pedestrian detection with misalignment based on modal-wise regression and multi-modal IoU
[2023] ILIAC: Efficient classification of degraded images using knowledge distillation with cutout data augmentation
DOI: https://doi.org/10.2352/ei.2023.35.9.ipas-296
[2023] Top-K Confidence Map Aggregation for Robust Semantic Segmentation Against Unexpected Degradation
DOI: https://doi.org/10.1109/icce56470.2023.10043389
[2023] Semantic Segmentation of Degraded Images Using Layer-Wise Feature Adjustor
DOI: https://doi.org/10.1109/wacv56688.2023.00322
[2023] Evaluating Active Learning for Blind Imbalanced Domains
[2022] Optimal Noise-Aware Imaging with Switchable Prefilters
[2022] Instance-Wise Center Loss for Efficient Training of Deep Convolutional Neural Networks
[2022] Polarization-probe polarization-imaging system in near-infrared regime using a polarization grating
DOI: https://doi.org/10.1038/s41598-022-19536-3
[2022] Polarization Probe Polarization Imaging in NIR Regime Using Liquid Crystal Polarization Grating
DOI: https://doi.org/10.1109/cleo-pr62338.2022.10432114
[2022] Learning with Partial Forgetting in Modern Hopfield Networks
[2022] PoF: Post-Training of Feature Extractor for Improving Generalization
[2022] Scrambling parameter generation to improve perceptual information hiding
[2022] Machine Learning with Blind Imbalanced Domains
[2022] Two-Step Color-Polarization Demosaicking Network
DOI: https://doi.org/10.1109/icip46576.2022.9897426
[2022] Alignment and fusion of visible and infrared images based on gradient-domain processing
DOI: https://doi.org/10.2352/ei.2022.34.10.ipas-366
[2022] Machine Learning with Blind Imbalanced Domains
DOI: https://doi.org/10.2352/ei.2022.34.10.ipas-381
[2022] Robustizing Object Detection Networks Using Augmented Feature Pooling
[2022] Optimal Noise-Aware Imaging with Switchable Prefilters
DOI: https://doi.org/10.1109/icip46576.2022.9897667
[2022] Instance-wise Center Loss for Efficient Training of Deep Convolutional Neural Networks
DOI: https://doi.org/10.1109/gcce56475.2022.10014037
[2021] Scrambling Parameter Generation to Improve Perceptual Information Hiding
DOI: https://doi.org/10.2352/issn.2470-1173.2021.11.hvei-155
[2021] Human Segmentation with Dynamic LiDAR Data
DOI: https://doi.org/10.1109/icpr48806.2021.9413014
[2021] SIA-GAN: Scrambling Inversion Attack Using Generative Adversarial Network
DOI: https://doi.org/10.1109/access.2021.3112684
[2021] CNN-Based Classification of Degraded Images Without Sacrificing Clean Images
DOI: https://doi.org/10.1109/access.2021.3105957
[2021] Adaptive Future Frame Prediction with Ensemble Network
[2021] Does end-to-end trained deep model always perform better than non-end-to-end counterpart?
[2021] Monochrome and Color Polarization Demosaicking Based on Intensity-Guided Residual Interpolation
DOI: https://doi.org/10.1109/jsen.2021.3121884
[2021] Pixelwise Dynamic Convolution Neural Network for LiDAR Depth Data Interpolation
DOI: https://doi.org/10.1109/jsen.2021.3124325
[2021] SIA-GAN: Scrambling Inversion Attack Using Generative Adversarial Network
[2021] Geometric Data Augmentation Based On Feature Map Ensemble
DOI: https://doi.org/10.1109/icip42928.2021.9506654
[2021] Hybrid polarization grating for mode detection of vector beams
DOI: https://doi.org/10.1364/oe.433998
[2021] Multi-Modal Pedestrian Detection with Large Misalignment Based on Modal-Wise Regression and Multi-Modal IoU
DOI: https://doi.org/10.23919/mva51890.2021.9511366
[2021] Multi-Modal Pedestrian Detection with Large Misalignment Based on Modal-Wise Regression and Multi-Modal IoU
[2021] A Distributed Large-Scale Agile Software Development for Multiple Products and Its Practical Evaluation
DOI: https://doi.org/10.1109/sera51205.2021.9509268
[2021] Gradient-domain image reconstruction framework using chroma-preserving intensity-range and base-structure constraints
DOI: https://doi.org/10.1117/1.jei.30.2.023032
[2021] Does End-to-End Trained Deep Model Always Perform Better than Non-End-to-End Counterpart?
DOI: https://doi.org/10.2352/issn.2470-1173.2021.10.ipas-240

科研費（0 件）

まだデータがありません（KAKEN 取り込み後に表示）。

所属学会・役職（0 件）

まだデータがありません（学会データ連携後に表示）。

AI 要約（直近 5 年の研究成果）

外部リンク

関連研究室

研究成果（60 件）

科研費（0 件）

所属学会・役職（0 件）