4 citations · 7 across the 6 of their papers we have counts for
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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.CV2024
Human-Aware 3D Scene Generation with Spatially-constrained Diffusion Models
Xiaolin Hong, Hongwei Yi, Fazhi He +1
Generating 3D scenes from human motion sequences supports numerous applications, including virtual reality and architectural design. However, previous auto-regression-based human-a…