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Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications最新文献

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M&M: Multimodal-Multitask Model Integrating Audiovisual Cues in Cognitive Load Assessment M&M：在认知负荷评估中整合视听线索的多模式多任务模型
Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications Pub Date : 2024-03-14 DOI: 10.5220/0012575100003660
Long Nguyen-Phuoc, Rénald Gaboriau, Dimitri Delacroix, Laurent Navarro
{"title":"M&M: Multimodal-Multitask Model Integrating Audiovisual Cues in Cognitive Load Assessment","authors":"Long Nguyen-Phuoc, Rénald Gaboriau, Dimitri Delacroix, Laurent Navarro","doi":"10.5220/0012575100003660","DOIUrl":"https://doi.org/10.5220/0012575100003660","url":null,"abstract":"This paper introduces the M&M model, a novel multimodal-multitask learning framework, applied to the AVCAffe dataset for cognitive load assessment (CLA). M&M uniquely integrates audiovisual cues through a dual-pathway architecture, featuring specialized streams for audio and video inputs. A key innovation lies in its cross-modality multihead attention mechanism, fusing the different modalities for synchronized multitasking. Another notable feature is the model's three specialized branches, each tailored to a specific cognitive load label, enabling nuanced, task-specific analysis. While it shows modest performance compared to the AVCAffe's single-task baseline, M&M demonstrates a promising framework for integrated multimodal processing. This work paves the way for future enhancements in multimodal-multitask learning systems, emphasizing the fusion of diverse data types for complex task handling.","PeriodicalId":517797,"journal":{"name":"Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications","volume":" 32","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140392491","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Fooling Neural Networks for Motion Forecasting via Adversarial Attacks 通过对抗性攻击欺骗神经网络进行运动预测
Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications Pub Date : 2024-03-07 DOI: 10.5220/0012562800003660
Edgar Medina, Leyong Loh
{"title":"Fooling Neural Networks for Motion Forecasting via Adversarial Attacks","authors":"Edgar Medina, Leyong Loh","doi":"10.5220/0012562800003660","DOIUrl":"https://doi.org/10.5220/0012562800003660","url":null,"abstract":"Human motion prediction is still an open problem, which is extremely important for autonomous driving and safety applications. Although there are great advances in this area, the widely studied topic of adversarial attacks has not been applied to multi-regression models such as GCNs and MLP-based architectures in human motion prediction. This work intends to reduce this gap using extensive quantitative and qualitative experiments in state-of-the-art architectures similar to the initial stages of adversarial attacks in image classification. The results suggest that models are susceptible to attacks even on low levels of perturbation. We also show experiments with 3D transformations that affect the model performance, in particular, we show that most models are sensitive to simple rotations and translations which do not alter joint distances. We conclude that similar to earlier CNN models, motion forecasting tasks are susceptible to small perturbations and simple 3D transformations.","PeriodicalId":517797,"journal":{"name":"Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications","volume":"42 17","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140285570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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