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Current Research
Action Recognition
Dynamic Scene Understanding
SOE-Net: An Analytically Defined ConvNet with Application to Dynamic Textures
Spatiotemporal Stereo
Understanding ConvNets with a Large Scale Dynamic Texture Database
Previous Research
Action Detection, Spotting and Recognition
Activity Recognition: Detecting Motion Patterns via Direction Maps
Anomalous Behavior Detection
Coarse-to-Fine Stereo with Accurate 3D Boundaries
Dynamic Texture Recognition
Early Spatiotemporal Grouping and Segmentation
Gesture Recognition
Spatiotemporal Salience
Three-Dimensional Separable Steerable Filters
Visual Tracking with Spatiotemporal Energy Features
Data
Anomalous Behaviour
Dynamic Scenes
Dynamic Texture DataBase (DTDB)
Medical Stereo
Spacetime Texture
Spatiotemporal Grouping
Spatiotemporal Stereo
Visual Tracking
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