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A-HOI: Articulated Human-Object Interaction
We present CHAIRS, a large-scale multi-view RGB-D dataset with diverse and high-quality 3D meshes of human and articulated objects. (ii) We design a new task of KA-HOPE, agnostic to variations in object kinematics.
Nan Jiang, Tengyu Liu, Zhexuan Cao, Jieming Cui, Yixin Chen, He Wang, Yixin Zhu, Siyuan Huang
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A-HOI: Articulated Human-Object Interaction
UAV navigation in high dynamic environments: A deep reinforcement learning approach
In this work, we propose an improved DRL-based UAV navigation method to tackle the problem of convergencen when a UAV is navigating in high dynamic environments.
Tong Guo, Nan Jiang, Biyue Li, Xi Zhu, Ya Wang, Wenbo Du
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UAV navigation in high dynamic environments: A deep reinforcement learning approach
Particle Swarm Optimization with Moving Particles on Scale-Free Networks
We present a variant of PSO, in which some particles are allowed to move on a scale-free network and change the interaction pattern during the search course.
Di Wu, Nan Jiang, Wenbo Du, Ke Tang, Xianbin Cao
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Particle Swarm Optimization with Moving Particles on Scale-Free Networks