Submissions are open for the Second IEEE Workshop on Coding for Machines:

https://www.ieeecfm.org/

Our paper on scalable human-machine point cloud compression, which will be presented at the 2024 Picture Coding Symposium (https://2024.picturecodingsymposium.org/), is available on arXiv:

https://arxiv.org/abs/2402.12532

Second IEEE Workshop on Coding for Machines will be held in conjunction with ICME 2024 in July.
https://www.ieeecfm.org/

Version 2 of the SFU-HW-Objects dataset, which is used in MPEG-VCM, is now available for download:
https://doi.org/10.17632/7dvvhvgypp.2

Our work on SplitFed learning over lossy networks was recently presented as a spotlight paper at the MICCAI 2023 DeCaF workshop:
https://arxiv.org/abs/2307.13851

The code for our point cloud compression for classification (presented at MMSP 2023) is available: https://github.com/multimedialabsfu/learned-point-cloud-compression-for-classification

In a few weeks at MMSP 2023 (https://attend.ieee.org/mmsp-2023/), we will be presenting the first work on point cloud coding for machines:
https://arxiv.org/abs/2308.05959

This is also a good opportunity to provide some updates that did not appear on Twitter...

We were honored to receive the 2023 IEEE TCSVT Best Paper Award:
https://ieee-cas.org/paper-award/outstanding-paper-awards/transactions-circuits-and-systems-video-technology-tcsvt#recipients

And we also received the IEEE MSA TC Best Paper Award for the ISCAS 2023 paper on multi-task learning for screen content coding:
https://ieeexplore.ieee.org/document/10182105

And our IEEE ISBI 2023 paper on SplitFed learning was among the Best Paper finalists:
https://arxiv.org/abs/2304.14976

Due to ongoing issues with the Twitter timeline embedding, I am now also on Mastodon.