IEEE

GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking With 2D-3D Multi-Feature Learning

Abstract: 3D Multi-object tracking (MOT) is crucial to autonomous systems. Recent work uses a standard tracking-by-detection pipeline, where feature extraction is first performed independently for ...
IEEE

3DMOTFormer: Graph Transformer for Online 3D Multi-Object Tracking

Abstract: Tracking 3D objects accurately and consistently is crucial for autonomous vehicles, enabling more reliable downstream tasks such as trajectory prediction and motion planning. Based on the ...
GitHub

Dual Contrastive Graph-Level Clustering with Multiple Cluster Perspectives Alignment

@inproceedings{cai2024dual, title={Dual Contrastive Graph-Level Clustering with Multiple Cluster Perspectives Alignment}, author={Cai, Jinyu and Zhang, Yunhe and Fan, Jicong and Du, Yali and Guo, ...
Digital Production

New add-on for Blender brings onion skinning layering into full 3D

The “3D Onion Skinning” add-on for Blender 4.5 lets you preview multiple frames in 3D to study timing and spacing. Works with ...
Hackaday

Multiple 3D Printers, And One Pi To Rule Them All

If you’ve got a desktop 3D printer, there’s an excellent chance you’ve heard of OctoPrint. This web front-end, usually running on a Raspberry Pi, allows you to monitor and control the printer over the ...