Titlebook: Computer Vision – ECCV 2022 Workshops; Tel Aviv, Israel, Oc Leonid Karlinsky,Tomer Michaeli,Ko Nishino Conference proceedings 2023 The Edit

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https://doi.org/10.1007/978-94-011-7327-8ree are processed as a whole. However, such approaches ignore the fact that action categories are often characterized by localized action dynamics involving only small subsets of part joint groups involving hands (e.g. ‘Thumbs up’) or legs (e.g. ‘Kicking’). Although part-grouping based approaches ex

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Thermoelectric Coupled Photovoltaic Moduleslity has been proposed as a method to address the problem of bias, giving rise to the popularity of using counterfactuals as a bias mitigation tool. In this paper, we undertake a systematic investigation of the usage of counterfactuals to achieve both statistical and causal-based fairness in facial

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Computer Vision – ECCV 2022 Workshops978-3-031-25072-9Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Professional Attitudes toward Parentse data are collected in an indoor scenario. We require that the running time of all methods should be real-time on desktop GPUs. The final results are evaluated using objective metrics and Mean Opinion Score (MOS) subjectively. A detailed description of all models developed in this challenge is prov

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The Effects of Autism on the Family provided at 0 dB, 24 dB and 42 dB. All the data were captured using a Quad sensor in both outdoor and indoor conditions. The final results are evaluated using objective metrics including PSNR, SSIM [.], LPIPS [.] and KLD. A detailed description of all models developed in this challenge is provided

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