activity
20182026
most citedGeneral Support-Effective Decomposition for Multi-Directional 3D Printing

9 citations · 10 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Proximity3D: Shape from Capacitive Proximity on Sensing Manifold

Hao Chen, Chenming Wu, Chun Ping Lam +6

Most shape reconstruction methods assume measurements defined over planar sensing domains, such as RGB images or depth maps. In this paper, we use a curved capacitive textile as a…

cs.RO2025

Towards Intuitive Human-Robot Interaction through Embodied Gesture-Driven Control with Woven Tactile Skins

ChunPing Lam, Xiangjia Chen, Chenming Wu +6

This paper presents a novel human-robot interaction (HRI) framework that enables intuitive gesture-driven control through a capacitance-based woven tactile skin. Unlike conventiona…

cs.CV2023

NeuS-PIR: Learning Relightable Neural Surface using Pre-Integrated Rendering

Shi Mao, Chenming Wu, Zhelun Shen +3

This paper presents a method, namely NeuS-PIR, for recovering relightable neural surfaces using pre-integrated rendering from multi-view images or video. Unlike methods based on Ne…

cs.GR2020★ 1 cited

Learning to Accelerate Decomposition for Multi-Directional 3D Printing

Chenming Wu, Yong-Jin Liu, Charlie C. L. Wang

Multi-directional 3D printing has the capability of decreasing or eliminating the need for support structures. Recent work proposed a beam-guided search algorithm to find an optimi…

cs.RO2018★ 9 cited

General Support-Effective Decomposition for Multi-Directional 3D Printing

Chenming Wu, Chengkai Dai, Guoxin Fang +2

We present a method for fabricating general models with multi-directional 3D printing systems by printing different model regions along with different directions. The core of our m…