202104-202609
Chihiro Nakatani (M.Eng. in Mar. 2023/Ph.D. in Sep. 2026)
M.E.:Interaction-aware Joint Attention Estimation Using People Attributes
Ph.D.: Group-Activity-Label-Free Feature Learning with Active Test- Time Adaptation for User-Intent Video Retrieval
M.E.:Interaction-aware Joint Attention Estimation Using People Attributes
Ph.D.: Group-Activity-Label-Free Feature Learning with Active Test- Time Adaptation for User-Intent Video Retrieval
202504-202603
Toshiki Otani(B.Eng. in Mar. 2026)
B.E.: Improving Energy Efficiency in Robotic Manipulation using an Energy Predictor
B.E.: Improving Energy Efficiency in Robotic Manipulation using an Energy Predictor
202410-202603
Riku Kanayama (B.Eng. in Mar. 2026)
B.E.: Improving Object Detection for Autonomous Driving by Focusing on Camera Boundaries
B.E.: Improving Object Detection for Autonomous Driving by Focusing on Camera Boundaries
202404-202603
Ryuki Tezuka(B.Eng. in Mar. 2024/M.Eng. in Mar. 2026)
M.E.: Local Dynamics and Global Context-aware Self-supervised Group Activity Feature Learning
M.E.: Local Dynamics and Global Context-aware Self-supervised Group Activity Feature Learning
202304-202603
Yota Urano(B.Eng. in Mar. 2024/M.Eng. in Mar. 2026)
B.E.: Human Trajectory Forecasting by Density-Based Selection of Anchors in Contrastive Learning with Action Labels
M.E.: Selective Social-Interaction via Individual Importance for Fast Human Trajectory Prediction
B.E.: Human Trajectory Forecasting by Density-Based Selection of Anchors in Contrastive Learning with Action Labels
M.E.: Selective Social-Interaction via Individual Importance for Fast Human Trajectory Prediction
202210-202603
Kazuki Matsumoto(B.Eng. in Mar. 2024/M.Eng. in Mar. 2026)
B.E.: Solving the gradient vanishing problem in quantum machine learning
M.E.: E2E-QFM: Differentiable End-to-End Optimization of Quantum Feature Map and Parameterized Quantum Circuit
B.E.: Solving the gradient vanishing problem in quantum machine learning
M.E.: E2E-QFM: Differentiable End-to-End Optimization of Quantum Feature Map and Parameterized Quantum Circuit
Kyotaro Tokoro(B.Eng. in Mar. 2024/M.Eng. in Mar. 2026)
B.E.: Burst Super-Resolution with Diffusion Models for Improving Perceptual Quality
M.E.: MMCM:Multimodality-aware Metric using Clustering-based Modes for Probabilistic Human Motion Prediction
B.E.: Burst Super-Resolution with Diffusion Models for Improving Perceptual Quality
M.E.: MMCM:Multimodality-aware Metric using Clustering-based Modes for Probabilistic Human Motion Prediction
201804-202509
Kazutoshi Akita(B.Eng. in Mar. 2019/M.Eng. in Mar. 2021/Ph.D. in Sep. 2025)
B.E.: Region-dependent super-resolution scale selection for scale-free person detection.
M.E.: Domain adaptation in multi-scale features for scale-free object detection
Ph.D.: Size-Robust Object Detection With Cost-and-Quality Controllable Arbitrary-Scale Super-Resolution
B.E.: Region-dependent super-resolution scale selection for scale-free person detection.
M.E.: Domain adaptation in multi-scale features for scale-free object detection
Ph.D.: Size-Robust Object Detection With Cost-and-Quality Controllable Arbitrary-Scale Super-Resolution
201710-202503
Takeru Oba(B.Eng. in Mar. 2019/M.Eng. in Mar. 2021/Ph.D. in Sep. 2025)
B.E.: Image synthesis using semi-supervised learning for instance segmentation
M.E.: Reducing error accumulation through iterative learning of motion generation and modification
Ph.D.: Retrieval augmented motion planning enhanced by motion scoring and failure motion learning
B.E.: Image synthesis using semi-supervised learning for instance segmentation
M.E.: Reducing error accumulation through iterative learning of motion generation and modification
Ph.D.: Retrieval augmented motion planning enhanced by motion scoring and failure motion learning
201804-202503
Takahiro Maeda(B.Eng. in Mar. 2019/M.Eng. in Mar. 2021)
B.E.: SpatiotemporalConsistentRealtimeHumanMotionCompletion
M.E.: ANewData Augmentation Method using Physics Simulator for Human Motion Prediction
Ph.D.:
B.E.: SpatiotemporalConsistentRealtimeHumanMotionCompletion
M.E.: ANewData Augmentation Method using Physics Simulator for Human Motion Prediction
Ph.D.:
202110-202503
Tomoharu Aizu(B.Eng. in Mar. 2023/M.Eng. in Mar. 2025)
B.E.: Learning efficiency verification of reinforcement learning with multiple heads
M.E.: Accelerate action generation by optimizing input action training to the action generation diffusion model
B.E.: Learning efficiency verification of reinforcement learning with multiple heads
M.E.: Accelerate action generation by optimizing input action training to the action generation diffusion model
202304-202503
Katsuki Shimbo(B.Eng. in Mar. 2023/M.Eng. in Mar. 2025)
M.E.: Enhancing Human Motion Prediction with Test-Time Additional Learning from Video
M.E.: Enhancing Human Motion Prediction with Test-Time Additional Learning from Video
202404-202503
Kento Kawai(B.Eng. in Mar. 2025)
B.E.: Faster Burst Super-Resolution with Diffusion Models
B.E.: Faster Burst Super-Resolution with Diffusion Models
Kouhei Kuribayashi(B.Eng. in Mar. 2025)
B.E.: Feature Extraction by Region Learning for Prediction of Human-Object Interaction
B.E.: Feature Extraction by Region Learning for Prediction of Human-Object Interaction
202204-202403
Taito Naruki(M.Eng. in Mar. 2024)
M.E.: Image composition matches background environment with foreground object condition
M.E.: Image composition matches background environment with foreground object condition
202110-202403
Fuma Yasue(B.Eng. in Mar. 2022/M.Eng. in Mar. 2024)
B.E.: Mutually complementary noise removal for burst SPM images
M.E.: Estimation and Completion of Occlusion Area for Novel View Synthesis
B.E.: Mutually complementary noise removal for burst SPM images
M.E.: Estimation and Completion of Occlusion Area for Novel View Synthesis
Riku Miyata(B.Eng. in Mar. 2022/M.Eng. in Mar. 2024)
B.E.: Validation of the feasibility of predicting chromosome aberration identification from embryo images
M.E.: Video Frame Interpolation Constrained by Segmentation and Keypoints
B.E.: Validation of the feasibility of predicting chromosome aberration identification from embryo images
M.E.: Video Frame Interpolation Constrained by Segmentation and Keypoints
202304-202403
Shunsuke Hiraga(B.Eng. in Mar. 2024)
B.E.: Localization and Evaluation of Inharmonious Regions in Composite Images
B.E.: Localization and Evaluation of Inharmonious Regions in Composite Images
202104-202203
Kaikai Zhao（PD)202104-202303
Daiki Mushiake(M.Eng. in Mar. 2023)
M.E.: Accurate Image Style Transformation by Dense Pixel \\Correspondences for Gaze Estimation
M.E.: Accurate Image Style Transformation by Dense Pixel \\Correspondences for Gaze Estimation
Masaya Kotani(M.Eng. in Mar. 2023)
M.E.: Addressing Uncertain Radar-measurement Directions \\by Supervision using LiDAR
M.E.: Addressing Uncertain Radar-measurement Directions \\by Supervision using LiDAR
Hiroshi Mori(M.Eng. in Mar. 2023)
M.E.: Time-seriesInitializationandConditioningforVideo-agnostic StabilizationofVideoSuper-ResolutionusingRecurrentNetworks
M.E.: Time-seriesInitializationandConditioningforVideo-agnostic StabilizationofVideoSuper-ResolutionusingRecurrentNetworks
202004-202303
Yohei Yamashita(B.Eng. in Mar. 2021/M.Eng. in Mar. 2023)
B.E.: Improvement of image inpainting accuracy using multiple auxiliary images
M.E.: Size-variable Virtual Try-on via changes in clothing shape based on dimensions
B.E.: Improvement of image inpainting accuracy using multiple auxiliary images
M.E.: Size-variable Virtual Try-on via changes in clothing shape based on dimensions
201910-202303
Masahiro Kato(B.Eng. in Mar. 2021/M.Eng. in Mar. 2023)
B.E.: Towards Visualizing Action Prediction Models
M.E.: Improving Interpretability of Trajectory Prediction Models Using PseudoAttention
B.E.: Towards Visualizing Action Prediction Models
M.E.: Improving Interpretability of Trajectory Prediction Models Using PseudoAttention
202110-202303
Kota Shinjo(B.Eng. in Mar. 2023)
B.E.: High-speed blur removal specialized for single-lens images
B.E.: High-speed blur removal specialized for single-lens images
202104-202203
Ricardo Moraes Muniz da Silva（PD)201810-202203
Kodai Shimosato(B.Eng. in Mar. 2020/M.Eng. in Mar. 2022)
B.E.: PSInSAR Tropospheric Delay Correction using Deep Learning
M.E.: Optimal Learning for Specific Repair Regions to Improve Image Repair Accuracy
B.E.: PSInSAR Tropospheric Delay Correction using Deep Learning
M.E.: Optimal Learning for Specific Repair Regions to Improve Image Repair Accuracy
201904-202203
Keiya Watanabe(B.Eng. in Mar. 2020/M.Eng. in Mar. 2022)
B.E.: Improved accuracy of anomaly detection by extending the prediction frame
M.E.: Camera-specific blur removal and overlap optimization in Around-View Monitoring system
B.E.: Improved accuracy of anomaly detection by extending the prediction frame
M.E.: Camera-specific blur removal and overlap optimization in Around-View Monitoring system
201910-202203
Naoya Nishiwaki(B.Eng. in Mar. 2020/M.Eng. in Mar. 2022)
B.E.: Anomaly detection in the detection object area
M.E.: Anomaly detection considering the complex distribution of normal images by abnormality and cluster discrimination.
B.E.: Anomaly detection in the detection object area
M.E.: Anomaly detection considering the complex distribution of normal images by abnormality and cluster discrimination.
202010-202203
Yuki Kondo(B.Eng. in Mar. 2022)
B.E.: Crack Segmentation for Degraded Low-resolution Images by Joint Learning with Blind Super-resolution
B.E.: Crack Segmentation for Degraded Low-resolution Images by Joint Learning with Blind Super-resolution
Asei Shimokura(B.Eng. in Mar. 2022)
B.E.: Complementary Coupling of Color and Edge Features in Joint Learning of Object Detection and Pose Estimation
B.E.: Complementary Coupling of Color and Edge Features in Joint Learning of Object Detection and Pose Estimation
201804-202103
Masashi Nagaya(B.Eng. in Mar. 2019/M.Eng. in Mar. 2021)
B.E.: Fertilized egg evaluation by using long-short time memory with convolutional features
M.E.: Embryo grading by Positive-Unlabeled learning and mutual information maximization for over-fitting
B.E.: Fertilized egg evaluation by using long-short time memory with convolutional features
M.E.: Embryo grading by Positive-Unlabeled learning and mutual information maximization for over-fitting
Tomoki Yoshida(B.Eng. in Mar. 2019/M.Eng. in Mar. 2021)
B.E.: Image super-resolution using explicit and implicit perceptual loss functions
M.E.: Super-Resolution by Joint Iterative Learning of Image Enlargement and Arbitrary Degradation Removal
B.E.: Image super-resolution using explicit and implicit perceptual loss functions
M.E.: Super-Resolution by Joint Iterative Learning of Image Enlargement and Arbitrary Degradation Removal
201904-202103
Kentaro Otomo(M.Eng. in Mar. 2021)
M.E.: Simultaneous Learning of Image Style Transformation and Landmark Detection for Real Image Inference
M.E.: Simultaneous Learning of Image Style Transformation and Landmark Detection for Real Image Inference
201910-202103
Ryota Hayashi(B.Eng. in Mar. 2021)
B.E.: Integration of object detection and object pose estimation that are robust to occlusion
B.E.: Integration of object detection and object pose estimation that are robust to occlusion
202004-202103
Masayoshi Hayama(B.Eng. in Mar. 2021)
B.E.: Image-quality Homogenization of Around View Monitors for Visibility Improvement
B.E.: Image-quality Homogenization of Around View Monitors for Visibility Improvement
Sanae Fujii(B.Eng. in Mar. 2021)
B.E.: Distant bird detection to improve drone flight safety
B.E.: Distant bird detection to improve drone flight safety
201704-202003
Kohei Sendo(B.Eng. in Mar. 2018/M.Eng. in Mar. 2020)
B.E.: Detection of multiple persons and objects in video
M.E.: Group action recognition through joint learning of individual action and group composition
B.E.: Detection of multiple persons and objects in video
M.E.: Group action recognition through joint learning of individual action and group composition
201810-202003
Takuya Iino(M.Eng. in Mar. 2020)
B.E.: Construction of work support system using gesture recognition in picking work and assembly work
B.E.: Construction of work support system using gesture recognition in picking work and assembly work
Takuya Matsumoto(M.Eng. in Mar. 2020)
B.E.: ObjectPoseEstimationUsingImagereconstruction toRemoveOcclusionbyGrasping
B.E.: ObjectPoseEstimationUsingImagereconstruction toRemoveOcclusionbyGrasping
201705-201912
Muhammad Haris（PD)201710-201909
Gibran Benitez-Garcia（PD)201704-201803
Tatsuya Murakami(B.Eng. in Mar. 2018)
B.E.: Video analysis and generation of acting characteristics
B.E.: Video analysis and generation of acting characteristics
201704-201809
Kyosuke Yamaguchi(B.Eng. in Sep. 2018)
B.E.: Anomalydetectionbycombiningunaryclassificationand data-augmentedbinaryclassification
B.E.: Anomalydetectionbycombiningunaryclassificationand data-augmentedbinaryclassification
201804-201809
Yutaro Suzuki
Kohei Makino 201704-201803
Makoto Nomura(B.Eng. in Mar. 2018)
B.E.: 3D pose estimation by distance image learning from 3DCG
B.E.: 3D pose estimation by distance image learning from 3DCG