1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CV2024
Temporal-Enhanced Multimodal Transformer for Referring Multi-Object Tracking and Segmentation
Changcheng Xiao, Qiong Cao, Yujie Zhong +4
Referring multi-object tracking (RMOT) is an emerging cross-modal task that aims to locate an arbitrary number of target objects and maintain their identities referred by a languag…
cs.CV2024★ 1 cited
MambaTrack: A Simple Baseline for Multiple Object Tracking with State Space Model
Changcheng Xiao, Qiong Cao, Zhigang Luo +1
Tracking by detection has been the prevailing paradigm in the field of Multi-object Tracking (MOT). These methods typically rely on the Kalman Filter to estimate the future locatio…
cs.CV2023
MotionTrack: Learning Motion Predictor for Multiple Object Tracking
Changcheng Xiao, Qiong Cao, Yujie Zhong +4
Significant progress has been achieved in multi-object tracking (MOT) through the evolution of detection and re-identification (ReID) techniques. Despite these advancements, accura…