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I am a third year PhD Candidate at INSA Lyon - LIRIS.
PhD thesis title:
I received my Engineer's degree (MSc) from ENSAI with a major in Data Science. Previously I've been intern at Xerox Research Centre Europe. |
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My main researchs focus on video understanding (e.g. action recognition, human-object interaction).
I am also interested into discovering causal concepts from video by leveraging the arrow of time.
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A model capable of learning to reason about semantically meaningful spatio-temporal interactions in videos. |
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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. |
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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. |
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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. |
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We introduce a new dataset for Domain Adaptation and show a comparaison between shallow and deep methods based on Maximum Mean Discrepancy. |
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We introduce an attention-based mechanism around hands on RGB videos conditioned on features extracted from human 3D pose. |
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We introduce a new method based on Conditional Maximum Mean Discrepancy for domain adaptation on image classification. |
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