Ukita, N.[Norimichi]
Co Author Listing * 3D Reconstruction with Globally-Optimized Point Selection
* 3D Scene Reconstruction from Reflection Images in a Spherical Mirror
* AIM 2019 Challenge on Image Extreme Super-Resolution: Methods and Results
* AIM 2019 Challenge on RAW to RGB Mapping: Methods and Results
* Articulated pose estimation with parts connectivity using discriminative local oriented contours
* Automatic Human Pose Annotation for Loose-fitting Clothes
* AVM Image Quality Enhancement by Synthetic Image Learning for Supervised Deblurring
* Behavior Recognition with HMM and Feature Analysis using a Wide-view Camera and a PTZ camera
* Boundary-aware Image Inpainting with Multiple Auxiliary Cues
* Classification of Gait Anomaly due to Lesion Using Full-Body Gait Motions
* Complex Volume and Pose Tracking with Probabilistic Dynamical Models and Visual Hull Constraints
* Continuous Finger Gesture Spotting and Recognition Based on Similarities Between Start and End Frames
* Crack Segmentation for Low-Resolution Images using Joint Learning with Super- Resolution
* Data Augmentation for Human Motion Prediction
* Deep Back-Projecti Networks for Single Image Super-Resolution
* Deep Back-Projection Networks for Super-Resolution
* Direct Shape Carving: Smooth 3D Points and Normals for Surface Reconstruction
* Displaying a Moving Image By Multiple Steerable Projectors
* Distant Bird Detection for Safe Drone Flight and Its Dataset
* Efficient Topological Calibration and Object Tracking with Distributed Pan-Tilt Cameras
* Embryo Grading With Unreliable Labels Due to Chromosome Abnormalities by Regularized PU Learning With Ranking
* Ensemble convolutional neural networks for pose estimation
* Estimating the Positions and Postures of Non-Rigid Objects Lacking Sufficient Features based on the Stick and Ellipse Model
* Estimation of 3D gazed position using view lines
* Extracting a gaze region with the history of view directions
* Fast Inference and Update of Probabilistic Density Estimation on Trajectory Prediction
* Gaussian process motion graph models for smooth transitions among multiple actions
* Group Activity Recognition Using Joint Learning of Individual Action Recognition and People Grouping
* Heatmapping of Group People Involved in the Group Activity
* Heatmapping of People Involved in Group Activities
* High-order framewise smoothness-constrained globally-optimal tracking
* High-Resolution Performance Capture by Zoom-in Pan-Tilt Cameras
* Human Body-Parts Tracking for Fine-Grained Behavior Classification
* Human Pose Annotation Using a Motion Capture System for Loose-Fitting Clothes
* IBR-based free-viewpoint imaging of a complex scene using few cameras
* Image matching robust to changes in imaging conditions with a car-mounted Camera
* Image Rectification for Robust Matching of Car-mounted Camera Images
* Incremental Observable-area Modeling for Cooperative Tracking
* Individuality-Preserving Gait Pattern Prediction Based on Gait Feature Transitions
* Initial response time measurement in eye movement for dementia screening test
* Instance Segmentation by Semi-Supervised Learning and Image Synthesis
* Interaction-aware Joint Attention Estimation Using People Attributes
* Iterative Action and Pose Recognition Using Global-and-Pose Features and Action-Specific Models
* Joint Learning of Object Detection and Pose Estimation using Augmented Autoencoder
* Joint Learning with Group Relation and Individual Action
* Lesioned-Part Identification by Classifying Entire-Body Gait Motions
* MotionAug: Augmentation with Physical Correction for Human Motion Prediction
* Multi-Planar Projection by Fixed-Center Pan-Tilt Projectors
* Multiple Active Camera Assignment for High Fidelity 3D Video
* MVA2023 Small Object Detection Challenge for Spotting Birds: Dataset, Methods, and Results
* Natural Facial and Head Behavior Recognition using Dictionary of Motion Primitives
* NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results
* NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results
* NTIRE 2022 Burst Super-Resolution Challenge
* NTIRE 2023 Image Shadow Removal Challenge Report
* Occluded Appearance Modeling with Sample Weighting for Human Pose Estimation
* Occlusion-free appearance modeling of body parts for human pose estimation
* Part-segment features for articulated pose estimation
* Part-Segment Features with Optimized Shape Priors for Articulated Pose Estimation
* People re-identification across non-overlapping cameras using group features
* Pose Estimation with Action Classification Using Global-and-Pose Features and Fine-Grained Action-Specific Pose Models
* Probabilistic-topological calibration of widely distributed camera networks
* Real-time cooperative multi-target tracking by communicating active vision agents
* Real-time multitarget tracking by a cooperative distributed vision system
* Real-Time Pose Regression with Fast Volume Descriptor Computation
* Real-Time Shape Analysis of a Human Body in Clothing Using Time-Series Part-Labeled Volumes
* Real-Time Uncharacteristic-Part Tracking Based on Points Tracking
* Real-Time Uncharacteristic-Part Tracking with a Point Set
* Recurrent Back-Projection Network for Video Super-Resolution
* Reference consistent reconstruction of 3D cloth surface
* Semi- and weakly-supervised human pose estimation
* Shape Preservation in Image Style Transfer for Gaze Estimation
* Shape reconstruction with globally-optimized surface point selection
* Similar Finger Gesture Recognition using Triplet-loss Networks
* Simultaneous particle tracking in multi-action motion models with synthesized paths
* Space-Time-Aware Multi-Resolution Video Enhancement
* surround view image generation method with low distortion for vehicle camera systems using a composite projection, A
* Target-color learning and its detection for non-stationary scenes by nearest neighbor classification in the spatio-color space
* Uncertainty Criteria in Active Transfer Learning for Efficient Video-Specific Human Pose Estimation
Includes: Ukita, N.[Norimichi] Ukita, N.
79 for Ukita, N.
Ukita, T.
Co Author Listing * similarity value transformation method for probabilistic scoring, A