Archive for the ‘Congress’ Category

21st International Conference on Software and Systems Reuse (ICSR 2024): Last Call for Papers

*** Last Call for Papers *** 21st International Conference on Software and Systems Reuse (ICSR 2024) June 10-12, 2024, 5* St. Raphael Resort and Marina, Limassol, Cyprus cyprusconferences.org/icsr2024/ (*** Submission Deadline: March 4, 2024 AoE (extended) ***) The International Conference on Software and Systems Reuse (ICSR) is a biannual conference in the field of software […]

Invitación al IEEE LA-CCI 2024

Este año la conferencia se realizará en Bogotá D.C., Colombia: https://ieee.org.co/la-cci2024/ CFP-LA-CCI-2024.pdf

Special Session on Audio @ CBMI’24 “Content based Indexing for audio and music: from analysis to synthesis”

;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;text-decoration:none;font-weight:normal”> Dear all, The 21st International Conference on Content-based Multimedia Indexing (CBMI 2024) takes place September 18-20 in Reykjavik, Iceland. We are delighted to have, as part of the conference, a Special Session on Audio entitled: Content based Indexing for audio and music: from analysis to synthesis  Abstract: Audio has long been a key component […]

ReFIP @ FG 2024: First International Workshop on Responsible Face Image Processing

*** Call for Papers ***First International Workshop on Responsible Face Image Processing (ReFIP 2024) to be held as part of the 18th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2024) Workshop: May  27 or May 31, 2024 (to be defined) – Istanbul, Turkey https://responsiblefaceimageprocessing.github.io/fg2024/

Call for papers – held in conjunction with IEEE FG 2024

1st International Workshop on Synthetic Data for Face and Gesture Analysis (SD-FGA 2024) Held in the scope of IEEE FG 2024 27 or 31 May 2024 (TBD), Istanbul, Turkey https://sites.google.com/view/sd-fga2024/ Paper submission: 17 March 2024, 11:59pm PST ***************************** *** Call for Papers *** Recent advancements in generative models within the realms of computer vision and […]

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