News:

  • [2022.06] Our paper "Aircraft Pipe Gap Inspection on Raw Point Cloud from a Single View" is accepted to IEEE TIM. Congrats to Tao!
  • [2022.06] Our paper "Combined Measurement based Wing-fuselage Assembly Coordination via Multi-constraint Optimization" is accepted to IEEE TIM. Congrats to Yan!
  • [2022.05] Our paper "Automatic Vision-based Online Inspection System for Broken-filament of Carbon Fiber with Multi-scale Feature Learning" is accepted to IEEE TIM. Congrats to Dawei!
  • [2022.05] Our paper "Image-Goal Navigation in Complex Environments via Modular Learning" is accepted to IEEE RAL. Congrats to Qiaoyun!
  • [2022.04] Our paper "Tiny Hole Inspection of Aircraft Engine Nacelle in 3D Point Cloud via Robust Statistical Fitting" is accepted to Measurement. Congrats to Hao!
  • [2022.03] Our paper "ImLoveNet: Misaligned Image-supported Registration Network for Low-overlap Point Cloud Pairs" is accepted to SIGGRAPH 2022(Conference paper). Congrats to Honghua!
  • [2022.02] Our paper "HRBF-Fusion: Accurate 3D reconstruction from RGB-D data using on-the-fly implicits" is accepted to ACM TOG. Congrats to Yabin!
  • [2022.02] Our paper "Refine-Net: Normal Refinement Neural Network for Noisy Point Clouds" is accepted to IEEE TPAMI.
  • [2022.01] Our paper "EANet: Edge-attention 6D Pose Estimation Network for Texture-less Objects " is accepted to IEEE IEEE TIM. Congrats to Yuqi!
  • [2021.11] Our paper "RePCD-Net: Feature-aware Recurrent Point Cloud Denoising Network " is accepted to International Journal of Computer Vision. Congrats to Honghua!
  • [2021.11] Our paper "Raw Scanned Point Cloud Registration with Repetition for Aircraft Fuel Tank Inspection " is accepted to CAD. Congrats to Xuanming!
  • [2021.11] Our paper "A High-accuracy Pose Measurement System for Robotic Automated Assembly in Large-scale Space" is accepted to Measurement. Congrats to Yuanpeng!
  • [2021.10] Our paper "Accurate and Reliable Sealant Inspection for Aircraft Fuel Tank Based on 3D Point Cloud" is accepted to IEEE IEEE TIM. Congrats to Xiaoxi!
  • [2021.09] Our papers accepted to IEEE TVCG and Journal of Mechanical Engineering (机械工程学报).
  • [2021.09] Our paper "Integrated Circuit Gold Wire Bonding Measurement via 3D Point Cloud Deep Learning" is accepted to IEEE TIE. Congrats to Qian!
  • [2021.07] Our paper "MLVSNet: Multi-level Voting Siamese Network for 3D Visual Tracking" is accepted to ICCV 2021. Congrats to Zhoutao!
  • [2021.07] Our paper "VENet: Voting Enhancement Network for 3D Object Detection" is accepted to ICCV 2021. Congrats to Qian!
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About us

Our research interests include 3D Large-scale Measurement, Machine Vision and Robotics, Image/Geometry Data Analysis, Deep Learning for Manufacturing and Data-driven Digital Twin Technology. These researches have been applied for aerospace composite component quality prediction and process control, aero-engine blade surface online inspection, 3d digital inspection and assembly, aerospace collaborative manufacturing, etc.

Join us

If you are interested in 3D Large-scale Measurement, Machine Vision and Robotics, Image/Geometry Data Analysis, Deep Learning for Manufacturing and Data-driven Digital Twin Technology, and would like to join our group as a master or PhD student, postdoc or visiting researcher, please contact Prof. Jun Wang (wjun@nuaa.edu.cn) to discuss opportunities in the group.