activity
20132019
most citedObject Level Visual Reasoning in Videos

86 citations · 194 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2019★ 34 cited

CoPhy: Counterfactual Learning of Physical Dynamics

Fabien Baradel, Natalia Neverova, Julien Mille +2

Understanding causes and effects in mechanical systems is an essential component of reasoning in the physical world. This work poses a new problem of counterfactual learning of obj…

cs.CV2018★ 86 cited

Object Level Visual Reasoning in Videos

Fabien Baradel, Natalia Neverova, Christian Wolf +2

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 featur…

cs.CV2018★ 3 cited

Glimpse Clouds: Human Activity Recognition from Unstructured Feature Points

Fabien Baradel, Christian Wolf, Julien Mille +1

We propose a method for human activity recognition from RGB data that does not rely on any pose information during test time and does not explicitly calculate pose information inte…

cs.CV2017

Human Action Recognition: Pose-based Attention draws focus to Hands

Fabien Baradel, Christian Wolf, Julien Mille

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 t…

cs.CV2017★ 71 cited

Pose-conditioned Spatio-Temporal Attention for Human Action Recognition

Fabien Baradel, Christian Wolf, Julien Mille

We address human action recognition from multi-modal video data involving articulated pose and RGB frames and propose a two-stream approach. The pose stream is processed with a con…

cs.CV2013

Linear Algorithm for Digital Euclidean Connected Skeleton

Aurélie Leborgne, Julien Mille, Laure Tougne

The skeleton is an essential shape characteristic providing a compact representation of the studied shape. Its computation on the image grid raises many issues. Due to the effects…