|
I am a PhD student in computer vision and machine learning at INSA Lyon under direction of Christian Wolf and Julien Mille. I am also a student researcher intern at Google Research in the Perception team under supervision of Cordelia Schmid. My research interests focus on video understanding and deep learning. I received my Engineer's degree (MSc) from ENSAI. |
|
|
|
|
|
 |
We introduce a new problem of counterfactual learning of object mechanics from visual input and a benchmark called COPHY. |
 |
Self-supervised video representation by leveraging long videos via contrastive learning. |
 |
A model capable of learning to reason about semantically meaningful spatio-temporal interactions in videos. |
 |
Human activity recogntion using skeleton data and RGB. We propose a network able to focus on relevant parts of the RGB stream given deep features extracted from the pose stream. |
 |
We propose a new method for human action recognition relying on RGB data only. A visual attention module is able to extract glimpses within each frame. Resulting local descriptors are soft-assigned to distributed workers which are finally classifying the video. |
 |
A new spatio-temporal attention based mechanism for human action recognition able to automatically attend to most important human hands and detect the most discriminative moments in an action. |
 |
We introduce a new dataset for Domain Adaptation and show a comparaison between shallow and deep methods based on Maximum Mean Discrepancy. |
 |
We introduce an attention-based mechanism around hands on RGB videos conditioned on features extracted from human 3D pose. |
|
 |
We introduce a new method based on Conditional Maximum Mean Discrepancy for domain adaptation on image classification. |
|
|
|
|
|
 |
|
|
|