GitHub

MCTrack: A Unified 3D Multi-Object Tracking Framework for Autonomous

This paper introduces MCTrack, a new 3D multi-object tracking method that achieves state-of-the-art (SOTA) performance across KITTI, nuScenes, and Waymo datasets. Addressing the gap in existing ...
GitHub

DAViD: Modeling Dynamic Affordance of 3D Objects Using Pre-trained Video Diffusion Models (ICCV 2025)

This is the official code for the paper "DAViD: Modeling Dynamic Affordance of 3D Objects Using Pre-trained Video Diffusion Models". Otherwise, you can use open-source image-to-video models such as ...
IEEE

OptiPMB: Enhancing 3D Multi-Object Tracking With Optimized Poisson Multi-Bernoulli Filtering

Abstract: Accurate 3D multi-object tracking (MOT) is crucial for autonomous driving, as it enables robust perception, navigation, and planning in complex environments. While deep learning-based ...
IEEE

DINO-MOT: 3D Multi-Object Tracking With Visual Foundation Model for Pedestrian Re-Identification Using Visual Memory Mechanism

Abstract: In the advancing domain of autonomous driving, this research focuses on enhancing 3D Multi-Object Tracking (3D-MOT). Pedestrians are particularly vulnerable in urban environments, and robust ...