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Found 3 papers, 3 papers with code
Photorealistic and Identity-Preserving Image-Based Emotion Manipulation with Latent Diffusion Models
In this paper, we investigate the emotion manipulation capabilities of diffusion models with "in-the-wild" images, a rather unexplored application area relative to the vast and rapidly growing literature for image-to-image translation tasks.
An audiovisual and contextual approach for categorical and continuous emotion recognition in-the-wild
In this work we tackle the task of video-based audio-visual emotion recognition, within the premises of the 2nd Workshop and Competition on Affective Behavior Analysis in-the-wild (ABAW2).
Leveraging Semantic Scene Characteristics and Multi-Stream Convolutional Architectures in a Contextual Approach for Video-Based Visual Emotion Recognition in the Wild
In this work we tackle the task of video-based visual emotion recognition in the wild.
Ranked #3 on
Emotion Recognition in Context
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