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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Licheng Zhong 钟李骋
About me
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Posts
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Blog Post number 1
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portfolio
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publications
Centralized and Decentralized Methods for Multi-robot Safe Navigation
Xinbei Wang*, Zexuan Yan*, Licheng Zhong*Machine Learning and Intelligent Systems Engineering (MLISE), 2022
Paper
We simulated two centralized methods and two decentralized methods for multi-robot safe navigation in their respective environments.
POEM: Reconstructing Hand in a Point Embedded Multi-view Stereo
Lixin Yang, Jian Xu, Licheng Zhong, Xinyu Zhan, Zhicheng Wang, Kejian Wu, Cewu LuComputer Vision and Pattern Recognition (CVPR), 2023
Paper / arXiv / Code
POEM (Point Embedded Multi-view) focuses on reconstructing an articulation body with “true scale” and “accurate pose” from a series of sparsely arranged camera views. In practice, we used the example of hand. POEM explores the power of points, using a cluster of (x, y, z) coordinates with natural positional encoding to find associations in multi-view stereo.
CHORD: Category-level in-Hand Object Reconstruction via Shape Deformation
Kailin Li*, Lixin Yang*, Haoyu Zhen, Zenan Lin, Xinyu Zhan, Licheng Zhong, Jian Xu, Kejian Wu, Cewu LuInternational Conference on Computer Vision (ICCV), 2023
Project Page / Paper / arXiv / PyBlend
We proposed a new method CHORD which exploits the categorical shape prior for reconstructing the shape of intra-class objects. In addition, we constructed a new dataset, COMIC, of category-level hand-object interaction. COMIC encompasses a diverse collection of object instances, materials, hand interactions, and viewing directions, as illustrated.
Multi-view Hand Reconstruction with a Point-Embedded Transformer
Lixin Yang, Licheng Zhong, Pengxiang Zhu, Xinyu Zhan, Junxiao Kong, Jian Xu, Cewu Luarxiv preprint
arXiv / Code
POEMv2 is a generalizable multi-view hand mesh reconstruction model which embeds a static basis point within the multi-view stereo space.
Color-NeuS: Reconstructing Neural Implicit Surfaces with Color
Licheng Zhong*, Lixin Yang*, Kailin Li, Haoyu Zhen, Mei Han, Cewu LuInternational Conference on 3D Vision (3DV), 2024
Project Page / Paper / arXiv / Data / Code
Color-NeuS focuses on mesh reconstruction with color. We remove view-dependent color while using a relighting network to maintain volume rendering performance. Mesh is extracted from the SDF network, and vertex color is derived from the global color network. We conceived a in hand object scanning task and gathered several videos for it to evaluate Color-NeuS.
Reconstruction and Simulation of Elastic Objects with Spring-Mass 3D Gaussians
Licheng Zhong, Hong-Xing "Koven" Yu, Jiajun Wu, Yunzhu LiEuropean Conference on Computer Vision (ECCV), 2024
Project Page / arXiv / Data / Code
Spring-Gaus reconstructs the appearance, geometry, and physical dynamics properties of elastic objects from video observations. Spring-Gaus enables future prediction and simulation under different initial states and environmental parameters.
Mimicking-Bench: A Benchmark for Generalizable Humanoid-Scene Interaction Learning via Human Mimicking
Yun Liu*, Bowen Yang*, Licheng Zhong*, He Wang, Li Yiarxiv preprint
Project Page / arXiv
A benchmark of Humanoid Scene Interaction. The first comprehensive benchmark for generalizable humanoid-scene interaction learning via human mimicking. Integrated a large-scale diverse human skill reference dataset with both synthetic and real-world human-scene interactions. Developed a general skill-learning paradigm and provide support for both pipeline-wise and modular evaluations.
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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