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Chenming Wu

As seen in: Wiley Online Library, arXiv, Cell Press
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Articles by Chenming Wu

Computer Science > Computer Vision and Pattern Recognition

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By Charlie C. L, Chenming Wu, Chun Ping Lam
| arXiv
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 shape sensor, treating its surface as a non-planar sensing manifold.
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[2509.25951] Towards Intuitive Human-Robot Interaction through Embodied Gesture-Driven Control with Woven Tactile Skins

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By Charlie C. L, Chenming Wu, Hao Chen, Xiangjia Chen
| arXiv
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GS-RoadPatching: Inpainting Gaussians via 3D Searching and Placing for Driving Scenes

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By Jiarun Liu, Sicong Du, Chenming Wu, Deqi Li
| arXiv
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iDiT-HOI: Inpainting-based Hand Object Interaction Reenactment via Video Diffusion Transformer

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By Chenming Wu, Junsheng Zhou, Chen Zhao, Kaisiyuan Wang
| arXiv
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CMD: Constraining Multimodal Distribution for Domain Adaptation in Stereo Matching

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By Zhuo Li, Chenming Wu, Zhibo Rao, Lina Liu
| arXiv
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Recrystallization-Enabled Fabrication of Single-Crystalline Gold Flakes for Plasmonic Applications

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By Chenming Wu, Junsheng Zheng, Chenxinyu Pan, Yuanbiao Tong
| dx.doi.org
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GauLoc: 3D Gaussian Splatting‐based Camera Relocalization

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By Chengkai Dai, Ying Li, Chenming Wu, Zhe Xin
| Wiley Online Library Verified
References , , , : Magsac++, a fast, reliable and accurate robust estimator. In Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR) (2020), pp. 1304–1312. 2 , : Learning less is more-6d camera localization via 3d surface regression. In Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR) (2018). 2, 5, 6 , : Visual camera re-localization from rgb and rgb-d images using dsac. IEEE Trans. on Pattern Analalysis and Machine Intelligence (TPAMI) 44, 9 (2021), 5847–5865.
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HERO-SLAM: Hybrid Enhanced Robust Optimization of Neural SLAM

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By Yufeng Yue, Liangjun Zhang, Chenming Wu
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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TexRO: Generating Delicate Textures of 3D Models by Recursive Optimization

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By Xing Liu, Chenming Wu, Xiaobo Gao, Jialun Liu
| arXiv
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[2307.05405] Boosting Feedback Efficiency of Interactive Reinforcement Learning by Adaptive Learning from Scores

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By Chenming Wu, Ying Li, Liangjun Zhang
| arXiv
[Submitted on 11 Jul 2023 ( v1 ), last revised 6 Aug 2023 (this version, v2)] Title:Boosting Feedback Efficiency of Interactive Reinforcement Learning by Adaptive Learning from Scores Download a PDF of the paper titled Boosting Feedback Efficiency of Interactive Reinforcement Learning by Adaptive Learning from Scores, by Shukai Liu and 3 other authors Download PDF Abstract: Interactive reinforcement learning has shown promise in learning complex robotic tasks.
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SLFN5-mediated chromatin dynamics sculpt higher-order DNA repair topology

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By Jinzhou Huang, Chenming Wu, Jake Kloeber
| Cell Press Verified
Scully R. Panday A. Elango R. Willis N.A. DNA double-strand break repair-pathway choice in somatic mammalian cells. Nat. Rev. Mol. Cell Biol. 2019; 20: 698-714https://doi.org/10.1038/s41580-019-0152-0 Double-strand break repair: 53BP1 comes into focus. Nat. Rev. Mol. Cell Biol. 2014; 15: 7-18https://doi.org/10.1038/nrm3719 Escribano-Díaz C. Orthwein A. Fradet-Turcotte A. Xing M.T. Young J.T.F. Tkáč J. Cook M.A. Rosebrock A.P. Munro M. Canny M.D. et al.
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