Papers by Mihai Burzo
MuSE: a Multimodal Dataset of Stressed Emotion (2020.lrec-1)
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| Challenge: | Existing studies on the effects of stress and emotion on the production and perception of emotion are understudied. |
| Approach: | They propose to use a multimodal stressed emotion dataset to study the interplay between the presence of stress and expressions of affect. |
| Outcome: | The proposed dataset combines emotion and stress classification with annotations for the emotional content of the recordings. |
MUSER: MUltimodal Stress detection using Emotion Recognition as an Auxiliary Task (2021.naacl-main)
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| Challenge: | Existing methods to detect stress have not explored the inter-dependence between emotion and stress. |
| Approach: | They propose a transformer-based model architecture and a novel multi-task learning algorithm with speed-based dynamic sampling strategy to improve stress detection. |
| Outcome: | The proposed model is effective with internal and external auxiliary tasks and achieves state-of-the-art results. |
In-the-Wild Video Question Answering (2022.coling-1)
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| Challenge: | Existing video understanding datasets focus on human interactions with little attention being paid to the “in the wild” settings. |
| Approach: | They propose a video understanding dataset of videos recorded outdoors . they propose identifying visual support for a given question and answer . |
| Outcome: | The proposed dataset examines the ability of models to understand videos, including video question answering, video captioning, and fill-inthe-blank tasks. |