September 2026

We study the problem of lossy attribute compression, given encoded 3D point cloud geometry available at the decoder, in a multi-resolution B-spline projection framework. A target continuous 3D attribu

As a paradigm in continual learning, class incremental learning (CIL) aims to assimilate tasks with mutually exclusive label spaces in sequence while preserving previously established knowledge. Mitig

Generalizable vehicle re-identification (ReID) seeks to develop models capable of adapting to previously unseen domains without additional fine-tuning or retraining. Most existing approaches attempt t

RGBE tracking aims to integrate modality-aligned RGB and event features to perform temporal identity association and spatial localization of targets. Existing methods do not effectively mitigate the m

The bottleneck size $\beta $ is a crucial parameter that governs the trade-off between information compression and information preservation in information bottleneck (IB) theory. Existing technologi

Unsupervised person re-identification (USL-ReID) typically relies on clustering to generate pseudo-labels, but significant cross-view appearance variations often cause images of the same identity to b