5 papers · 1 filter
COVTrack++: Learning Open-Vocabulary Multi-Object Tracking from Continuous Videos via a Synergistic Paradigm
Zekun Qian, Wei Feng, Ruize Han +1
Multi-Object Tracking (MOT) has traditionally focused on a few specific categories, restricting its applicability to real-world scenarios involving diverse objects. Open-Vocabulary…
PVNet: Point-Voxel Interaction LiDAR Scene Upsampling Via Diffusion Models
Xianjing Cheng, Lintai Wu, Zuowen Wang +3
Accurate 3D scene understanding in outdoor environments heavily relies on high-quality point clouds. However, LiDAR-scanned data often suffer from extreme sparsity, severely hinder…
Unsupervised 3D Point Cloud Completion via Multi-view Adversarial Learning
Lintai Wu, Xianjing Cheng, Yong Xu +2
In real-world scenarios, scanned point clouds are often incomplete due to occlusion issues. The tasks of self-supervised and weakly-supervised point cloud completion involve recons…
Synthetic-To-Real Video Person Re-ID
Xiangqun Zhang, Wei Feng, Ruize Han +3
Person re-identification (Re-ID) is an important task and has significant applications for public security and information forensics, which has progressed rapidly with the developm…
VOVTrack: Exploring the Potentiality in Videos for Open-Vocabulary Object Tracking
Zekun Qian, Ruize Han, Junhui Hou +2
Open-vocabulary multi-object tracking (OVMOT) represents a critical new challenge involving the detection and tracking of diverse object categories in videos, encompassing both see…