Chenming Wu

According to our database, Chenming Wu authored at least 40 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

GauLoc: 3D Gaussian Splatting-based Camera Relocalization.

Zhe Xin, Chengkai Dai, Ying Li, Chenming Wu

Comput. Graph. Forum, October, 2024

Surfel-based Gaussian Inverse Rendering for Fast and Relightable Dynamic Human Reconstruction from Monocular Video.

Yiqun Zhao, Chenming Wu, Binbin Huang, Yihao Zhi, Chen Zhao, Jingdong Wang, Shenghua Gao

CoRR, 2024

HEROS: Hierarchical Exploration with Online Subregion Updating for 3D Environment Coverage.

Shijun Long, Ying Li, Chenming Wu, Bin Xu, Wei Fan

CoRR, 2024

HPHS: Hierarchical Planning based on Hybrid Frontier Sampling for Unknown Environments Exploration.

Shijun Long, Ying Li, Chenming Wu, Bin Xu, Wei Fan

CoRR, 2024

XLD: A Cross-Lane Dataset for Benchmarking Novel Driving View Synthesis.

Hao Li, Ming Yuan, Yan Zhang, Chenming Wu, Chen Zhao, Chunyu Song, Haocheng Feng, Errui Ding, Dingwen Zhang, Jingdong Wang

CoRR, 2024

VDG: Vision-Only Dynamic Gaussian for Driving Simulation.

Hao Li, Jingfeng Li, Dingwen Zhang, Chenming Wu, Jieqi Shi, Chen Zhao, Haocheng Feng, Errui Ding, Jingdong Wang, Junwei Han

CoRR, 2024

OpenGaussian: Towards Point-Level 3D Gaussian-based Open Vocabulary Understanding.

Yanmin Wu, Jiarui Meng, Haijie Li, Chenming Wu, Yahao Shi, Xinhua Cheng, Chen Zhao, Haocheng Feng, Errui Ding, Jingdong Wang, Jian Zhang

CoRR, 2024

TexRO: Generating Delicate Textures of 3D Models by Recursive Optimization.

Jinbo Wu, Xing Liu, Chenming Wu, Xiaobo Gao, Jialun Liu, Xinqi Liu, Chen Zhao, Haocheng Feng, Errui Ding, Jingdong Wang

CoRR, 2024

GVA: Reconstructing Vivid 3D Gaussian Avatars from Monocular Videos.

Xinqi Liu, Chenming Wu, Jialun Liu, Xing Liu, Jinbo Wu, Chen Zhao, Haocheng Feng, Errui Ding, Jingdong Wang

CoRR, 2024

HERO-SLAM: Hybrid Enhanced Robust Optimization of Neural SLAM.

Zhe Xin, Yufeng Yue, Liangjun Zhang, Chenming Wu

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

LiDAR-CS Dataset: LiDAR Point Cloud Dataset with Cross-Sensors for 3D Object Detection.

Jin Fang, Dingfu Zhou, Jingjing Zhao, Chenming Wu, Chulin Tang, Cheng-Zhong Xu, Liangjun Zhang

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Understanding In-Context Learning from Repetitions.

Jianhao Yan, Jin Xu, Chiyu Song, Chenming Wu, Yafu Li, Yue Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

HO-Gaussian: Hybrid Optimization of 3D Gaussian Splatting for Urban Scenes.

Zhuopeng Li, Yilin Zhang, Chenming Wu, Jianke Zhu, Liangjun Zhang

Proceedings of the Computer Vision - ECCV 2024, 2024

GGRt: Towards Pose-Free Generalizable 3D Gaussian Splatting in Real-Time.

Hao Li, Yuanyuan Gao, Chenming Wu, Dingwen Zhang, Yalun Dai, Chen Zhao, Haocheng Feng, Errui Ding, Jingdong Wang, Junwei Han

Proceedings of the Computer Vision - ECCV 2024, 2024

A Pedestrian is Worth One Prompt: Towards Language Guidance Person Re- Identification.

Zexian Yang, Dayan Wu, Chenming Wu, Zheng Lin, Jingzi Gu, Weiping Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Generating Material-Aware 3D Models from Sparse Views.

Shi Mao, Chenming Wu, Ran Yi, Zhelun Shen, Liangjun Zhang, Wolfgang Heidrich

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

TexOct: Generating Textures of 3D Models with Octree-based Diffusion.

Jialun Liu, Chenming Wu, Xinqi Liu, Xing Liu, Jinbo Wu, Haotian Peng, Chen Zhao, Haocheng Feng, Jingtuo Liu, Errui Ding

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

GIR: 3D Gaussian Inverse Rendering for Relightable Scene Factorization.

Yahao Shi, Yanmin Wu, Chenming Wu, Xing Liu, Chen Zhao, Haocheng Feng, Jingtuo Liu, Liangjun Zhang, Jian Zhang, Bin Zhou, Errui Ding, Jingdong Wang

CoRR, 2023

DGNR: Density-Guided Neural Point Rendering of Large Driving Scenes.

Zhuopeng Li, Chenming Wu, Liangjun Zhang, Jianke Zhu

CoRR, 2023

Boosting Feedback Efficiency of Interactive Reinforcement Learning by Adaptive Learning from Scores.

Shukai Liu, Chenming Wu, Ying Li, Liangjun Zhang

CoRR, 2023

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

Shi Mao, Chenming Wu, Zhelun Shen, Liangjun Zhang

CoRR, 2023

Digging into Depth Priors for Outdoor Neural Radiance Fields.

Chen Wang, Jiadai Sun, Lina Liu, Chenming Wu, Zhelun Shen, Dayan Wu, Yuchao Dai, Liangjun Zhang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

MapNeRF: Incorporating Map Priors into Neural Radiance Fields for Driving View Simulation.

Chenming Wu, Jiadai Sun, Zhelun Shen, Liangjun Zhang

IROS, 2023

Boosting Feedback Efficiency of Interactive Reinforcement Learning by Adaptive Learning from Scores.

Shukai Liu, Chenming Wu, Ying Li, Liangjun Zhang

IROS, 2023

2022

Digging Errors in NMT: Evaluating and Understanding Model Errors from Partial Hypothesis Space.

Jianhao Yan, Chenming Wu, Fandong Meng, Jie Zhou

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Rethinking the Evaluation of Neural Machine Translation.

Jianhao Yan, Chenming Wu, Fandong Meng, Jie Zhou

CoRR, 2021

2020

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

Chenming Wu, Chengkai Dai, Guoxin Fang, Yong-Jin Liu, Charlie C. L. Wang

IEEE Trans Autom. Sci. Eng., 2020

Learning to Accelerate Decomposition for Multi-Directional 3D Printing.

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

IEEE Robotics Autom. Lett., 2020

2019

Carpentry compiler.

Chenming Wu, Haisen Zhao, Chandrakana Nandi, Jeffrey I. Lipton, Zachary Tatlock, Adriana Schulz

ACM Trans. Graph., 2019

Plant Phenotyping by Deep-Learning-Based Planner for Multi-Robots.

Chenming Wu, Rui Zeng, Jia Pan, Charlie C. L. Wang, Yong-Jin Liu

IEEE Robotics Autom. Lett., 2019

Energy-Efficient Coverage Path Planning for General Terrain Surfaces.

Chenming Wu, Chengkai Dai, Xiaoxi Gong, Yong-Jin Liu, Jun Wang, Xianfeng David Gu, Charlie C. L. Wang

IEEE Robotics Autom. Lett., 2019

2018

Support-free volume printing by multi-axis motion.

Chengkai Dai, Charlie C. L. Wang, Chenming Wu, Sylvain Lefebvre, Guoxin Fang, Yong-Jin Liu

ACM Trans. Graph., 2018

Delta DLP 3-D Printing of Large Models.

Ran Yi, Chenming Wu, Yong-Jin Liu, Ying He, Charlie C. L. Wang

IEEE Trans Autom. Sci. Eng., 2018

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

Chenming Wu, Chengkai Dai, Guoxin Fang, Yong-Jin Liu, Charlie C. L. Wang

CoRR, 2018

Interactive Partitioning of 3D Models into Printable Parts.

Aamir Khan Jadoon, Chenming Wu, Yong-Jin Liu, Ying He, Charlie C. L. Wang

IEEE Computer Graphics and Applications, 2018

A Multi-robot System for High-Throughput Plant Phenotyping.

Chenming Wu, Rui Zeng, Yong-Jin Liu

Proceedings of the Cognitive Systems and Signal Processing - 4th International Conference, 2018

2017

RoboFDM: A robotic system for support-free fabrication using FDM.

Chenming Wu, Chengkai Dai, Guoxin Fang, Yong-Jin Liu, Charlie C. L. Wang

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016

RoboDLP: large object 3D printing using robotic arm.

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

Proceedings of the SIGGRAPH ASIA 2016, Macao, December 5-8, 2016 - Posters, 2016

Delta DLP 3D printing with large size.

Chenming Wu, Ran Yi, Yong-Jin Liu, Ying He, Charlie C. L. Wang

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

2001

Analytical modeling and characterization of deep-submicrometer interconnect.

Dennis Sylvester, Chenming Wu

Proc. IEEE, 2001