News

09/2022 Our work Learning Multi-resolution Functional Maps with Spectral Attention for Robust Shape Matching has been accepted by NeurIPS 2022.
08/2022 Our work SRFeat: Learning Locally Accurate and Globally Consistent Non-Rigid Shape Correspondence has been accepted by 3DV 2022.
03/2022 Our work WSDesc: Weakly Supervised 3D Local Descriptor Learning for Point Cloud Registration has been accepted by IEEE Transactions on Visualization and Computer Graphics.
03/2021 Our work PointDSC: Robust Point Cloud Registration Using Deep Spatial Consistency has been accepted by CVPR 2021.
11/2020 Postdoc at LIX, École Polytechnique / Inria.
10/2020 Our work Fast Sketch Segmentation and Labeling with Deep Learning is the runner-up for the 2019 Best Paper Award from IEEE Computer Graphics & Applications by the IEEE Computer Society Publications Board.
08/2020 Our work SketchDesc: Learning Local Sketch Descriptors for Multi-View Correspondence has been accepted by IEEE Transactions on Circuits and Systems for Video Technology.
06/2020 Ph.D. thesis defence.
04/2020 Our work Sketch-R2CNN: An RNN-Rasterization-CNN Architecture for Vector Sketch Recognition has been accepted by IEEE Transactions on Visualization and Computer Graphics.
02/2020 Our work End-to-End Learning Local Multi-View Descriptors for 3D Point Clouds has been accepted by CVPR 2020.
09/2019 Internship at Megvii Research.
11/2018 Our work Fast Sketch Segmentation and Labeling with Deep Learning has been accepted by IEEE Computer Graphics & Applications.
08/2018 Our work Context-based Sketch Classification has been accepted by Expressive 2018.
06/2018 Internship at Alibaba A.I. Labs.
10/2016 Our work Model-driven Sketch Reconstruction with Structure-oriented Retrieval has been accepted by the ACM SIGGRAPH Asia 2016 Technical Briefs Program.