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      "title": "Learning Spatio-Temporal Structure from RGB-D Videos for Human Activity Detection and Anticipation",
      "url": "https://cknow.io/lib/288688bf3b61f7de"
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      "title": "Learning Human Activities and Object Affordances from RGB-D Videos",
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        "title": "zhaolongkzz/human_motion",
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        "title": "charlesq34/pointnet",
        "url": "https://github.com/charlesq34/pointnet"
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        "title": "fxia22/pointnet.pytorch",
        "url": "https://github.com/fxia22/pointnet.pytorch"
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      {
        "title": "maggie0106/Graph-CNN-in-3D-Point-Cloud-Classification",
        "url": "https://github.com/maggie0106/Graph-CNN-in-3D-Point-Cloud-Classification"
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        "title": "pqhieu/torch3d",
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        "title": "DylanWusee/pointconv_pytorch",
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        "title": "seowok/TreeGAN",
        "url": "https://github.com/seowok/TreeGAN"
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        "title": "ZhihaoZhu/PointNet-Implementation-Tensorflow",
        "url": "https://github.com/ZhihaoZhu/PointNet-Implementation-Tensorflow"
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      {
        "title": "sarthakTUM/roofn3d",
        "url": "https://github.com/sarthakTUM/roofn3d"
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        "title": "romaintha/pytorch_pointnet",
        "url": "https://github.com/romaintha/pytorch_pointnet"
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        "title": "YanWei123/PointNet-encoder-and-FoldingNet-decoder-add-quantization-change-latent-code-size-from-512-to-1024",
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        "title": "AI-Guru/pointcloud_experiments",
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        "title": "YanWei123/Pytorch-implementation-of-FoldingNet-encoder-and-decoder-with-graph-pooling-covariance-add-quanti",
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        "title": "ftdlyc/pointnet_pytorch",
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      {
        "title": "abdullahozer11/Segmentation-and-Classification-of-Objects-in-Point-Clouds",
        "url": "https://github.com/abdullahozer11/Segmentation-and-Classification-of-Objects-in-Point-Clouds"
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      {
        "title": "PaParaZz1/PointNet",
        "url": "https://github.com/PaParaZz1/PointNet"
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      {
        "title": "zgx0534/pointnet_win",
        "url": "https://github.com/zgx0534/pointnet_win"
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      {
        "title": "alpemek/ais3d",
        "url": "https://github.com/alpemek/ais3d"
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      {
        "title": "yanxp/PointNet",
        "url": "https://github.com/yanxp/PointNet"
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      {
        "title": "witignite/Frustum-PointNet",
        "url": "https://github.com/witignite/Frustum-PointNet"
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      {
        "title": "coconutzs/PointNet_zs",
        "url": "https://github.com/coconutzs/PointNet_zs"
      },
      {
        "title": "Fnjn/UCSD-CSE-291I",
        "url": "https://github.com/Fnjn/UCSD-CSE-291I"
      },
      {
        "title": "Lw510107/pointnet-2018.6.27-",
        "url": "https://github.com/Lw510107/pointnet-2018.6.27-"
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      {
        "title": "minhncedutw/pointnet1_keras",
        "url": "https://github.com/minhncedutw/pointnet1_keras"
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      {
        "title": "xurui1217/pointnet.pytorch-master",
        "url": "https://github.com/xurui1217/pointnet.pytorch-master"
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      {
        "title": "sanantoniochili/PointCloud_KNN",
        "url": "https://github.com/sanantoniochili/PointCloud_KNN"
      },
      {
        "title": "hnVfly/pointnet.mxnet",
        "url": "https://github.com/hnVfly/pointnet.mxnet"
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      {
        "title": "LebronGG/PointNet",
        "url": "https://github.com/LebronGG/PointNet"
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      {
        "title": "ahmed-anas/thesis-pointnet",
        "url": "https://github.com/ahmed-anas/thesis-pointnet"
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      {
        "title": "GOD-GOD-Autonomous-Vehicle/self-pointnet",
        "url": "https://github.com/GOD-GOD-Autonomous-Vehicle/self-pointnet"
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      {
        "title": "freddieee/pn_6d_single",
        "url": "https://github.com/freddieee/pn_6d_single"
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      {
        "title": "CheesyB/cpointnet",
        "url": "https://github.com/CheesyB/cpointnet"
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      {
        "title": "ModelBunker/PointNet-TensorFlow",
        "url": "https://github.com/ModelBunker/PointNet-TensorFlow"
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      {
        "title": "aviros/pointnet_totations",
        "url": "https://github.com/aviros/pointnet_totations"
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      {
        "title": "Taeuk-Jang/pointcompletion",
        "url": "https://github.com/Taeuk-Jang/pointcompletion"
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        "title": "ytng001/sensemaking",
        "url": "https://github.com/ytng001/sensemaking"
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      {
        "title": "YanWei123/Pointnet_encoder_Foldingnet_decoder_quantization",
        "url": "https://github.com/YanWei123/Pointnet_encoder_Foldingnet_decoder_quantization"
      },
      {
        "title": "ajertec/PointNetKeras",
        "url": "https://github.com/ajertec/PointNetKeras"
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      {
        "title": "nikitakaraevv/pointnet",
        "url": "https://github.com/nikitakaraevv/pointnet"
      },
      {
        "title": "amyllykoski/CycleGAN",
        "url": "https://github.com/amyllykoski/CycleGAN"
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      {
        "title": "lingzhang1/pointnet_tensorflow",
        "url": "https://github.com/lingzhang1/pointnet_tensorflow"
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      {
        "title": "lingzhang1/pointnet_pytorch",
        "url": "https://github.com/lingzhang1/pointnet_pytorch"
      },
      {
        "title": "Yuto0107/pointnet",
        "url": "https://github.com/Yuto0107/pointnet"
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      "title": "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation",
      "url": "https://cknow.io/lib/735c32c4a9cba5e5"
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        "title": "yfsong0709/RA-GCNv1",
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      },
      {
        "title": "maxstrobel/HCN-PrototypeLoss-PyTorch",
        "url": "https://github.com/maxstrobel/HCN-PrototypeLoss-PyTorch"
      }
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    "date2": 20160411,
    "model": "P-LSTM (5-shot)",
    "paper": {
      "title": "NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis",
      "url": "https://cknow.io/lib/f4ca484ec5ad671e"
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