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PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
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Hao Su
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Leonidas Guibas
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3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans
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You Only Look Once: Unified, Real-Time Object Detection
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The Cityscapes Dataset for Semantic Urban Scene Understanding
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Objective Criteria for the Evaluation of Clustering Methods
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Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
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Instance-Aware Semantic Segmentation via Multi-task Network Cascades
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Learning Detailed Face Reconstruction from a Single Image
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Multi-view 3D Object Detection Network for Autonomous Driving
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Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors
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2017
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Jonathan Huang
Vivek Rathod
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Anoop Korattikara
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3DMV: Joint 3D-Multi-view Prediction for 3D Semantic Scene Segmentation
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CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
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Simple online and realtime tracking with a deep association metric
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ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes
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2017
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Anne Lynn S. Chang
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Semantic Instance Segmentation via Deep Metric Learning
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Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction
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Learning a Multi-View Stereo Machine
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MarrNet: 3D Shape Reconstruction via 2.5D Sketches
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Yifan Wang
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SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation
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2018
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Dynamic Graph CNN for Learning on Point Clouds
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Fully-Convolutional Point Networks for Large-Scale Point Clouds
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Tangent Convolutions for Dense Prediction in 3D
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2018
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Maxim Tatarchenko
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LIME: Live Intrinsic Material Estimation
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2018
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Maxim Maximov
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Fusion++: Volumetric Object-Level SLAM
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3D Shape Induction from 2D Views of Multiple Objects
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3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction
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Multi-Object Representation Learning with Iterative Variational Inference
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DISN: Deep Implicit Surface Network for High-quality Single-view 3D
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2019
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Radomír Měch
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Learning Representations and Generative Models for 3D Point Clouds
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On the Continuity of Rotation Representations in Neural Networks
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2019
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Yi Zhou
Connelly Barnes
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ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes
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2017
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Angela Dai
Anne Lynn S. Chang
Manolis Savva
Maciej Halber
Thomas Funkhouser
Matthias Nießner
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1
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PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
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2016
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Hao Su
Kaichun Mo
Leonidas Guibas
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Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision
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3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans
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Angela Dai
Matthias Nießner
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Differentiable surface splatting for point-based geometry processing
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Felice Serena
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Depth Map Prediction from a Single Image using a Multi-Scale Deep Network
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Learning to Segment Object Candidates
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Volumetric and Multi-view CNNs for Object Classification on 3D Data
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Hao Su
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GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud
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Learning Implicit Fields for Generative Shape Modeling
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Learning to Cluster for Proposal-Free Instance Segmentation
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Deep Residual Learning for Image Recognition
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Concerning nonnegative matrices and doubly stochastic matrices
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