This is your work, valued
Post-doctoral Research Fellow
dgcnn.pytorch. A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)
812PointCloudDatasets. 3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.
520UnsupervisedPointCloudReconstruction. Experiments on unsupervised point cloud reconstruction.
171SegGroup. [TIP 2022] SegGroup: Seg-level Supervision for 3D Instance and Semantic Segmentation
48PointCloudSegmentation. Experiments on point cloud segmentation.
25SegGroup.annotator. Seg-Level Label Annotator
25LGM. [TCSVT 2024] Dynamics-aware Adversarial Attack of Adaptive Neural Networks
4antao97.github.io. My homepage
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