22 citations · 32 across the 11 of their papers we have counts for
5 papers · 1 filter
EnsembleMOT: A Step towards Ensemble Learning of Multiple Object Tracking
Yunhao Du, Zihang Liu, Fei Su
Multiple Object Tracking (MOT) has rapidly progressed in recent years. Existing works tend to design a single tracking algorithm to perform both detection and association. Though e…
OMG: Observe Multiple Granularities for Natural Language-Based Vehicle Retrieval
Yunhao Du, Binyu Zhang, Xiangning Ruan +3
Retrieving tracked-vehicles by natural language descriptions plays a critical role in smart city construction. It aims to find the best match for the given texts from a set of trac…
PAMI-AD: An Activity Detector Exploiting Part-attention and Motion Information in Surveillance Videos
Yunhao Du, Zhihang Tong, Junfeng Wan +2
Activity detection in surveillance videos is a challenging task caused by small objects, complex activity categories, its untrimmed nature, etc. Existing methods are generally limi…
GIAOTracker: A comprehensive framework for MCMOT with global information and optimizing strategies in VisDrone 2021
Yunhao Du, Junfeng Wan, Yanyun Zhao +3
In recent years, algorithms for multiple object tracking tasks have benefited from great progresses in deep models and video quality. However, in challenging scenarios like drone v…
StrongSORT: Make DeepSORT Great Again
Yunhao Du, Zhicheng Zhao, Yang Song +4
Recently, Multi-Object Tracking (MOT) has attracted rising attention, and accordingly, remarkable progresses have been achieved. However, the existing methods tend to use various b…