4 citations · 10 across the 30 of their papers we have counts for
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cs.CV2023★ 3 cited
DVIS++: Improved Decoupled Framework for Universal Video Segmentation
Tao Zhang, Xingye Tian, Yikang Zhou +7
We present the \textbf{D}ecoupled \textbf{VI}deo \textbf{S}egmentation (DVIS) framework, a novel approach for the challenging task of universal video segmentation, including video…
cs.CV2023★ 1 cited
Stable Segment Anything Model
Qi Fan, Xin Tao, Lei Ke +6
The Segment Anything Model (SAM) achieves remarkable promptable segmentation given high-quality prompts which, however, often require good skills to specify. To make SAM robust to…
cs.CV2023
Temporal-Aware Refinement for Video-based Human Pose and Shape Recovery
Ming Chen, Yan Zhou, Weihua Jian +2
Though significant progress in human pose and shape recovery from monocular RGB images has been made in recent years, obtaining 3D human motion with high accuracy and temporal cons…