Sato Lab./Sugano Lab.
Sato Lab./Sugano Lab.
Y. Sato Lab.
Sugano Lab.
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Akihiro Sugimoto
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Sensing and Controlling Human Gaze in Daily Living Space for Human-Harmonized Information Environments
Head direction estimation from low resolution images with scene adaptation
Social Group Discovery from Surveillance Videos: A Data-Driven Approach with Attention-Based Cues
Incorporating visual field characteristics into a saliency map
Appearance-based head pose estimation with scene-specific adaptation
Attention Prediction in Egocentric Video Using Motion and Visual Saliency
Fast unsupervised ego-action learning for first-person sports videos
Can Saliency Map Models Predict Human Egocentric Visual Attention?
Using individuality to track individuals: Clustering individual trajectories in crowds using local appearance and frequency trait
Discovering Primitive Action Categories by Leveraging Relevant Visual Context
Incorporating Long-Term Observations of Human Actions for Stable 3D People Tracking
Recognizing Overlapped Human Activities from a Sequence of Primitive Actions via Deleted Interpolation
Recovering the Basic Structure of Human Activities from Noisy Video-Based Symbol Strings
Incorporating environment models for improving vision-based tracking of people
3D Head Tracking using the Particle Filter with Cascaded Classifiers
Deleted Interpolation Using a Hierarchical Bayesian Grammar Network for Recognizing Human Activity
Reflectance Estimation from Motion under Complex Illumination
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