About
Emmanuel Dellandréa is an Associate Professor (Maître de Conférences, HDR) at Ecole Centrale de Lyon, specializing in image/video understanding, computer vision, and affective computing. His research develops methods for emotion recognition in visual media and robotic perception systems.
He created benchmark datasets including Mikado (occlusion-aware segmentation), Jacquard (robotic grasping), and LIRIS-ACCEDE (emotional video analysis). Current projects investigate continual learning for robotics and diffusion model adaptation.
Dellandréa holds a PhD in Computer Science and Habilitation from Université Lyon 1.
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