Archive for April 18th, 2023

CfP: RSS 2023 Workshop on Robot Representations For Scene Understanding, Reasoning and Planning

Dear colleagues, We are happy to announce our RSS 2023 workshop titled “Robot Representations For Scene Understanding, Reasoning and Planning“, scheduled for July 10 in Daegu, Republic of Korea. We invite contributions (extended abstracts or short papers) focusing on novel advances in 3D scene understanding, predicate/affordance reasoning, high-level planning and at the boundary between these research […]

Workshop on Applications of Computational Intelligence and Interactive Systems (WACIIS-2023), August 18-19, 2023, Banasthali Vidyapith, India

Call for Papers Dear Madam/ Sir,   We are pleased to inform you that the Centre for Artificial Intelligence, Banasthali Vidyapith is organizing a Workshop on Applications of Computational Intelligence and Interactive Systems (WACIIS-2023) during August 18-19, 2023 in association with IHCI-2023 (https://www.ihcisociety.org/ihci-2023). Workshop on Applications of Computational Intelligence and Interactive Systems (WACIIS-2023) is a pre-conference workshop which aims to […]

CFP: 20th International Conference on Content-based Multimedia Indexing (CBMI 2023) – deadline extension

Call for Papers – Deadline Extension until April 24, 2023 20th International Conference on Content-based Multimedia Indexing (CBMI 2023) September 20-22, 2023, Orleans, France https://cbmi2023.org/  Authors are encouraged to submit previously unpublished research papers in the broad field of content-based multimedia indexing and applications. We wish to highlight significant contributions addressing the main problem of […]

What’s Next in Affect Modeling? – ACII Workshop | Deadline April 28

The first workshop on “What's next in Affect Modeling?” (http://whatnext.tamed-project.eu/) will be held online in conjunction with ACII 2023 (https://acii-conf.net/). *** Description *** The valid and reliable evaluation of affect and affective interaction is key for the advancement of affective computing (AC). Recent breakthroughs in deep (machine) learning and generative AI have boosted the efficiency […]

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