activity
20182022
most citedTAP-Net: Transport-and-Pack using Reinforcement Learning

46 citations · 147 across the 13 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.RO2021★ 6 cited

Learning Practically Feasible Policies for Online 3D Bin Packing

Hang Zhao, Chenyang Zhu, Xin Xu +2

We tackle the Online 3D Bin Packing Problem, a challenging yet practically useful variant of the classical Bin Packing Problem. In this problem, the items are delivered to the agen…

cs.CV2021

Consistent Two-Flow Network for Tele-Registration of Point Clouds

Zihao Yan, Zimu Yi, Ruizhen Hu +3

Rigid registration of partial observations is a fundamental problem in various applied fields. In computer graphics, special attention has been given to the registration between tw…

cs.CV2021

RPG: Learning Recursive Point Cloud Generation

Wei-Jan Ko, Hui-Yu Huang, Yu-Liang Kuo +3

In this paper we propose a novel point cloud generator that is able to reconstruct and generate 3D point clouds composed of semantic parts. Given a latent representation of the tar…

cs.CV2021★ 1 cited

VGF-Net: Visual-Geometric Fusion Learning for Simultaneous Drone Navigation and Height Mapping

Yilin Liu, Ke Xie, Hui Huang

The drone navigation requires the comprehensive understanding of both visual and geometric information in the 3D world. In this paper, we present a Visual-Geometric Fusion Network(…

cs.CV2021★ 11 cited

Shape-driven Coordinate Ordering for Star Glyph Sets via Reinforcement Learning

Ruizhen Hu, Bin Chen, Juzhan Xu +3

We present a neural optimization model trained with reinforcement learning to solve the coordinate ordering problem for sets of star glyphs. Given a set of star glyphs associated t…