The Third IEEE Workshop on Coding for Machines will be held in conjunction with ICIP 2025 in Anchorage, Alaska, in September 2025. Shan Liu and Li Li will be delivering keynote lectures. Submission deadline is May 28 - mark your calendars!
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:
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.