activity
20192024
most citedTowards more realistic human motion prediction with attention to motion coordination

25 citations · 33 across the 7 of their papers we have counts for

collaborators

12 papers

cs.CV202425 cited

Towards more realistic human motion prediction with attention to motion coordination

Pengxiang Ding, Jianqin Yin

Joint relation modeling is a curial component in human motion prediction. Most existing methods rely on skeletal-based graphs to build the joint relations, where local interactive…

cs.CV20223 cited

Past and Future Motion Guided Network for Audio Visual Event Localization

Tingxiu Chen, Jianqin Yin, Jin Tang

In recent years, audio-visual event localization has attracted much attention. It's purpose is to detect the segment containing audio-visual events and recognize the event category…

cs.CV2021

Amodal segmentation just like doing a jigsaw

Xunli Zeng, Jianqin Yin

Amodal segmentation is a new direction of instance segmentation while considering the segmentation of the visible and occluded parts of the instance. The existing state-of-the-art…

cs.CV20211 cited

Uncertainty-aware Human Motion Prediction

Pengxiang Ding, Jianqin Yin

Human motion prediction is essential for tasks such as human motion analysis and human-robot interactions. Most existing approaches have been proposed to realize motion prediction.…

cs.CV20212 cited

Temporal Consistency Two-Stream CNN for Human Motion Prediction

Jin Tang, Jin Zhang, Jianqin Yin

Fusion is critical for a two-stream network. In this paper, we propose a novel temporal fusion (TF) module to fuse the two-stream joints' information to predict human motion, inclu…

cs.RO20211 cited

Mask-GD Segmentation Based Robotic Grasp Detection

Mingshuai Dong, Shimin Wei, Xiuli Yu +1

The reliability of grasp detection for target objects in complex scenes is a challenging task and a critical problem that needs to be solved urgently in practical application. At p…