%Aigaion2 BibTeX export from Idiap Publications
%Thursday 02 January 2025 03:59:40 PM

@INPROCEEDINGS{Ali_WACV_2025,
         author = {Ali, Abid and Dai, Rui and Marisetty, Ashish and Astruc, Guillaume and Thonnat, Monique and Odobez, Jean-Marc and Th{\"{u}}mmler, Suzanne and Bremond, Francois},
       projects = {Idiap, AI4Autism},
          month = feb,
          title = {Loose Social-Interaction Recognition in Real-world Therapy Scenarios},
      booktitle = {IEEE/CVF Winter Conference on Applications of Computer Vision},
           year = {2025},
       abstract = {The computer vision community has explored dyadic interactions for atomic actions such as pushing, carrying object, etc. However, with the advancement in deep learning models, there is a need to explore more complex dyadic situations such as loose interactions. These are interactions where two people perform certain atomic activities to complete a global action irrespective of temporal synchronisation and physical engagement, like cooking-together for example. Analysing these types of dyadic-interactions has several useful applications in the medical domain for social-skills development and mental health diagnosis. To achieve this, we propose a novel dual-path architecture to capture the loose interaction between two individuals. Our model learns global abstract features from each stream via a CNNs backbone and fuses them using a new Global-Layer-Attention module based on a cross-attention strategy. We evaluate our model on real-world autism diagnoses such as our Loose-Interaction dataset, and the publicly available Autism dataset for loose interactions. Our network achieves baseline results on the Loose-Interaction and SOTA results on the Autism datasets. Moreover, we study different social interactions by experimenting on a publicly available dataset i.e. NTU-RGB+D (interactive classes from both NTU-60 and NTU-120). We have found that different interactions require different network designs. We also compare a slightly different version of our method (details in Section 3.6) by incorporating time information to address tight interactions achieving SOTA results.},
            pdf = {https://publications.idiap.ch/attachments/papers/2024/Ali_WACV_2025.pdf}
}