{"list":"other","total":64,"rows":[{"id":"1505.04597","title":"U-Net: Convolutional Networks for Biomedical Image Segmentation","created":"2015-05-18","cited_by_count":19713},{"id":"1312.6114","title":"Auto-Encoding Variational Bayes","created":"2013-12-20","cited_by_count":4053},{"id":"1702.04405","title":"ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes","created":"2017-02-14","cited_by_count":3117},{"id":"1512.03012","title":"ShapeNet: An Information-Rich 3D Model Repository","created":"2015-12-09","cited_by_count":2897},{"id":"1904.08755","title":"4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks","created":"2019-04-18","cited_by_count":1208},{"id":"1812.02822","title":"Learning Implicit Fields for Generative Shape Modeling","created":"2018-12-06","cited_by_count":1060},{"id":"1812.04244","title":"PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud","created":"2018-12-11","cited_by_count":941},{"id":"1904.09664","title":"Deep Hough Voting for 3D Object Detection in Point Clouds","created":"2019-04-21","cited_by_count":648},{"id":"1610.07584","title":"Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling","created":"2016-10-24","cited_by_count":558},{"id":"1611.08974","title":"Semantic Scene Completion from a Single Depth Image","created":"2016-11-28","cited_by_count":472},{"id":"2007.16100","title":"Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution","created":"2020-07-31","cited_by_count":423},{"id":"1808.00671","title":"PCN: Point Completion Network","created":"2018-08-02","cited_by_count":384},{"id":"1907.03739","title":"Point-Voxel CNN for Efficient 3D Deep Learning","created":"2019-07-08","cited_by_count":343},{"id":"2003.01456","title":"Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion","created":"2020-03-03","cited_by_count":343},{"id":"2004.01658","title":"PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation","created":"2020-04-03","cited_by_count":321},{"id":"1706.01307","title":"Submanifold Sparse Convolutional Networks","created":"2017-06-05","cited_by_count":223},{"id":"1612.00101","title":"Shape Completion using 3D-Encoder-Predictor CNNs and Shape Synthesis","created":"2016-12-01","cited_by_count":219},{"id":"1812.07003","title":"3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans","created":"2018-12-17","cited_by_count":217},{"id":"2104.00678","title":"Group-Free 3D Object Detection via Transformers","created":"2021-04-01","cited_by_count":215},{"id":"1911.06971","title":"BSP-Net: Generating Compact Meshes via Binary Space Partitioning","created":"2019-11-16","cited_by_count":206},{"id":"2003.06537","title":"OccuSeg: Occupancy-aware 3D Instance Segmentation","created":"2020-03-14","cited_by_count":177},{"id":"2002.12212","title":"Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes from a Single Image","created":"2020-02-27","cited_by_count":172},{"id":"1711.08588","title":"SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation","created":"2017-11-23","cited_by_count":169},{"id":"1906.01140","title":"Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds","created":"2019-06-04","cited_by_count":156},{"id":"1811.11187","title":"Scan2CAD: Learning CAD Model Alignment in RGB-D Scans","created":"2018-11-27","cited_by_count":142},{"id":"2003.13867","title":"3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation","created":"2020-03-30","cited_by_count":141},{"id":"2108.02350","title":"Hierarchical Aggregation for 3D Instance Segmentation","created":"2021-08-05","cited_by_count":127},{"id":"2003.14052","title":"3D Sketch-aware Semantic Scene Completion via Semi-supervised Structure Prior","created":"2020-03-31","cited_by_count":126},{"id":"1911.10949","title":"PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes","created":"2019-11-25","cited_by_count":119},{"id":"2004.03327","title":"Cascaded Refinement Network for Point Cloud Completion","created":"2020-04-07","cited_by_count":112},{"id":"1712.10215","title":"ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans","created":"2017-12-29","cited_by_count":103},{"id":"2103.10429","title":"Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks","created":"2021-03-18","cited_by_count":103},{"id":"2108.07478","title":"Instance Segmentation in 3D Scenes using Semantic Superpoint Tree Networks","created":"2021-08-17","cited_by_count":99},{"id":"2103.14326","title":"Bidirectional Projection Network for Cross Dimension Scene Understanding","created":"2021-03-26","cited_by_count":95},{"id":"2103.06422","title":"Holistic 3D Scene Understanding from a Single Image with Implicit Representation","created":"2021-03-11","cited_by_count":94},{"id":"1709.07599","title":"High-Resolution Shape Completion Using Deep Neural Networks for Global Structure and Local Geometry Inference","created":"2017-09-22","cited_by_count":87},{"id":"1906.08650","title":"3D Instance Segmentation via Multi-Task Metric Learning","created":"2019-06-20","cited_by_count":80},{"id":"2004.05679","title":"MLCVNet: Multi-Level Context VoteNet for 3D Object Detection","created":"2020-04-12","cited_by_count":80},{"id":"1912.00036","title":"SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene Completion of RGB-D Scans","created":"2019-11-29","cited_by_count":77},{"id":"2011.13328","title":"DyCo3D: Robust Instance Segmentation of 3D Point Clouds through Dynamic Convolution","created":"2020-11-26","cited_by_count":75},{"id":"2007.13034","title":"Mask2CAD: 3D Shape Prediction by Learning to Segment and Retrieve","created":"2020-07-26","cited_by_count":65},{"id":"1904.00699","title":"JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds with Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields","created":"2019-04-01","cited_by_count":62},{"id":"1908.00575","title":"StructureNet: Hierarchical Graph Networks for 3D Shape Generation","created":"2019-08-01","cited_by_count":59},{"id":"1810.13049","title":"Cooperative Holistic Scene Understanding: Unifying 3D Object, Layout, and Camera Pose Estimation","created":"2018-10-31","cited_by_count":51},{"id":"1712.01537","title":"O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis","created":"2017-12-05","cited_by_count":47},{"id":"2003.12622","title":"SceneCAD: Predicting Object Alignments and Layouts in RGB-D Scans","created":"2020-03-27","cited_by_count":44},{"id":"2101.07889","title":"Joint Learning of 3D Shape Retrieval and Deformation","created":"2021-01-19","cited_by_count":42},{"id":"2011.14744","title":"RfD-Net: Point Scene Understanding by Semantic Instance Reconstruction","created":"2020-11-30","cited_by_count":36},{"id":"2006.14660","title":"SPSG: Self-Supervised Photometric Scene Generation from RGB-D Scans","created":"2020-06-25","cited_by_count":34},{"id":"2012.04641","title":"Vid2CAD: CAD Model Alignment using Multi-View Constraints from Videos","created":"2020-12-08","cited_by_count":33},{"id":"1803.11493","title":"3D Pose Estimation and 3D Model Retrieval for Objects in the Wild","created":"2018-03-30","cited_by_count":31},{"id":"1904.12012","title":"RevealNet: Seeing Behind Objects in RGB-D Scans","created":"2019-04-26","cited_by_count":30},{"id":"2203.14662","title":"MaskGroup: Hierarchical Point Grouping and Masking for 3D Instance Segmentation","created":"2022-03-28","cited_by_count":30},{"id":"1908.08344","title":"Indoor Depth Completion with Boundary Consistency and Self-Attention","created":"2019-08-22","cited_by_count":29},{"id":"2012.11575","title":"From Points to Multi-Object 3D Reconstruction","created":"2020-12-21","cited_by_count":29},{"id":"1806.05361","title":"View-volume Network for Semantic Scene Completion from a Single Depth Image","created":"2018-06-14","cited_by_count":26},{"id":"1705.02090","title":"GRASS: Generative Recursive Autoencoders for Shape Structures","created":"2017-05-05","cited_by_count":24},{"id":"2010.07428","title":"Skeleton-bridged Point Completion: From Global Inference to Local Adjustment","created":"2020-10-14","cited_by_count":23},{"id":"2112.12925","title":"Not All Voxels Are Equal: Semantic Scene Completion from the Point-Voxel Perspective","created":"2021-12-24","cited_by_count":22},{"id":"1908.06989","title":"Joint Embedding of 3D Scan and CAD Objects","created":"2019-08-19","cited_by_count":19},{"id":"2103.07969","title":"Monte Carlo Scene Search for 3D Scene Understanding","created":"2021-03-14","cited_by_count":19},{"id":"2007.11965","title":"CAD-Deform: Deformable Fitting of CAD Models to 3D Scans","created":"2020-07-23","cited_by_count":17},{"id":"1903.04019","title":"Deep Reinforcement Learning of Volume-guided Progressive View Inpainting for 3D Point Scene Completion from a Single Depth Image","created":"2019-03-10","cited_by_count":15},{"id":"2106.14274","title":"Learning Mesh Representations via Binary Space Partitioning Tree Networks","created":"2021-06-27","cited_by_count":5}],"next_cursor":null}