Search Results for author:
Found 6 papers, 3 papers with code
CoPhy: Counterfactual Learning of Physical Dynamics
Understanding causes and effects in mechanical systems is an essential component of reasoning in the physical world.
Object Level Visual Reasoning in Videos
Human activity recognition is typically addressed by detecting key concepts like global and local motion, features related to object classes present in the scene, as well as features related to the global context.
Ranked #1 on
Semantic Object Interaction Classification
on VLOG
Glimpse Clouds: Human Activity Recognition from Unstructured Feature Points
No spatial coherence is forced on the glimpse locations, which gives the module liberty to explore different points at each frame and better optimize the process of scrutinizing visual information.
Ranked #19 on
Skeleton Based Action Recognition
on N-UCLA
Human Action Recognition: Pose-based Attention draws focus to Hands
We propose a new spatio-temporal attention based mechanism for human action recognition able to automatically attend to the hands most involved into the studied action and detect the most discriminative moments in an action.
Pose-conditioned Spatio-Temporal Attention for Human Action Recognition
We show that it is of high interest to shift the attention to different hands at different time steps depending on the activity itself.
Linear Algorithm for Digital Euclidean Connected Skeleton
We propose a linear-time skeletonization algorithm based on the squared Euclidean distance map from which we extract the maximal balls and ridges.
