most citedInteraction-Driven Active 3D Reconstruction with Object Interiors

7 citations · 13 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2024

FRI-Net: Floorplan Reconstruction via Room-wise Implicit Representation

Honghao Xu, Juzhan Xu, Zeyu Huang +3

In this paper, we introduce a novel method called FRI-Net for 2D floorplan reconstruction from 3D point cloud. Existing methods typically rely on corner regression or box regressio…

cs.RO2024

Synchronized Dual-arm Rearrangement via Cooperative mTSP

Wenhao Li, Shishun Zhang, Sisi Dai +4

Synchronized dual-arm rearrangement is widely studied as a common scenario in industrial applications. It often faces scalability challenges due to the computational complexity of…

cs.RO2024

Learning Dual-arm Object Rearrangement for Cartesian Robots

Shishun Zhang, Qijin She, Wenhao Li +4

This work focuses on the dual-arm object rearrangement problem abstracted from a realistic industrial scenario of Cartesian robots. The goal of this problem is to transfer all the…

cs.CV20237 cited

Interaction-Driven Active 3D Reconstruction with Object Interiors

Zihao Yan, Fubao Su, Mingyang Wang +3

We introduce an active 3D reconstruction method which integrates visual perception, robot-object interaction, and 3D scanning to recover both the exterior and interior, i.e., unexp…

cs.LG2023

Neural Packing: from Visual Sensing to Reinforcement Learning

Juzhan Xu, Minglun Gong, Hao Zhang +2

We present a novel learning framework to solve the transport-and-packing (TAP) problem in 3D. It constitutes a full solution pipeline from partial observations of input objects via…

cs.CV20232 cited

AffordPose: A Large-scale Dataset of Hand-Object Interactions with Affordance-driven Hand Pose

Juntao Jian, Xiuping Liu, Manyi Li +2

How human interact with objects depends on the functional roles of the target objects, which introduces the problem of affordance-aware hand-object interaction. It requires a large…