Xiaoshui Huang

Research fellow
Shanghai Artificial Intelligence Laboratory

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Email: huangxiaoshui@pjlab.org.cn

News & Activities


  • [2020-March-22]    The cross-source point cloud registration benchmark can be visited from Dataset

  • [2020-June-18]   Invited talk "Feature-metric Registration: A Fast Semi-supervised Approach for Robust Point Cloud Registration without Correspondences" at Dalian University of Technology.
  • [2020-June-9]   Our paper "Jointly Modeling Intra- and Inter-transaction Dependencies with Hierarchical Attentive Transaction Embeddings for Next-item Recommendation" has been accepted by IEEE Intelligent Systems.
  • [2020-May -16]   Our paper "Exploring long-short-term context for Point Cloud Semantic Segmentation" has been accepted by ICIP 2020.
  • [2020-May -08]   Our paper "Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Images for Segmentation" is available online [LINK].
  • [2020-Mar.-06]   Our paper "Classification Constrained Discriminator for Domain Adaptive Semantic Segmentation" has been accepted by ICME 2020 (Oral).
  • [2020-Mar.-04]   Our research about "guideline compliance analysis using deep learning" won a $20K grant which is supported by Ingham institute.
  • [2020-Feb.-24]   Our paper "Feature-metric Registration: A Fast Semi-supervised Approach for Robust Point Cloud Registration without Correspondences" has been accepted by CVPR 2020.

  • [2019-Nov.-05]  I gave a talk at the University of Sydney about learning to solve point cloud registration.
  • [2019-Oct.-16]  I gave a talk at Ingham institute about point cloud matching.
  • [2019-Sep.-26]  One US patent about point cloud matching is filed.
  • [2019-Sep.-16]  I joined ACRF Image-X institute of The University of Sydney as a postdotoral research associate.