18 citations · 40 across the 23 of their papers we have counts for
4 papers · 1 filter
Planning Irregular Object Packing via Hierarchical Reinforcement Learning
Sichao Huang, Ziwei Wang, Jie Zhou +1
Object packing by autonomous robots is an im-portant challenge in warehouses and logistics industry. Most conventional data-driven packing planning approaches focus on regular cubo…
Shap-CAM: Visual Explanations for Convolutional Neural Networks based on Shapley Value
Quan Zheng, Ziwei Wang, Jie Zhou +1
Explaining deep convolutional neural networks has been recently drawing increasing attention since it helps to understand the networks' internal operations and why they make certai…
GE-Grasp: Efficient Target-Oriented Grasping in Dense Clutter
Zhan Liu, Ziwei Wang, Sichao Huang +2
Grasping in dense clutter is a fundamental skill for autonomous robots. However, the crowdedness and occlusions in the cluttered scenario cause significant difficulties to generate…
Shapley-NAS: Discovering Operation Contribution for Neural Architecture Search
Han Xiao, Ziwei Wang, Zheng Zhu +2
In this paper, we propose a Shapley value based method to evaluate operation contribution (Shapley-NAS) for neural architecture search. Differentiable architecture search (DARTS) a…