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Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-00065-7_27openalex-snapshot
Unsupervised Feature Learning for RGB-D Based Object Recognition
inferredcites →https://doi.org/10.1007/978-3-319-10584-0_23openalex-snapshot
Learning Rich Features from RGB-D Images for Object Detection and Segmentation
inferredcites →https://doi.org/10.1007/978-3-319-10599-4_41openalex-snapshot
Sliding Shapes for 3D Object Detection in Depth Images
inferredcites →https://doi.org/10.1007/978-3-642-33715-4_54openalex-snapshot
Indoor Segmentation and Support Inference from RGBD Images
inferredcites →https://doi.org/10.1007/s11263-013-0620-5openalex-snapshot
Selective Search for Object Recognition
inferredcites →https://doi.org/10.1007/s11263-015-0816-yopenalex-snapshot
ImageNet Large Scale Visual Recognition Challenge
inferredcites →https://doi.org/10.1109/cvpr.2013.79openalex-snapshot
Perceptual Organization and Recognition of Indoor Scenes from RGB-D Images
inferredcites →https://doi.org/10.1109/cvpr.2014.49openalex-snapshot
Multiscale Combinatorial Grouping
inferredcites →https://doi.org/10.1109/cvpr.2014.81openalex-snapshot
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2015.7298655openalex-snapshot
SUN RGB-D: A RGB-D scene understanding benchmark suite
inferredcites →https://doi.org/10.1109/cvpr.2015.7298732openalex-snapshot
Deepshape: Deep learned shape descriptor for 3D shape matching and retrieval
inferredcites →https://doi.org/10.1109/cvpr.2015.7298801openalex-snapshot
3D ShapeNets: A deep representation for volumetric shapes
inferredcites →https://doi.org/10.1109/cvpr.2015.7299105openalex-snapshot
Aligning 3D models to RGB-D images of cluttered scenes
inferredcites →https://doi.org/10.1109/cvpr.2016.169openalex-snapshot
Three-Dimensional Object Detection and Layout Prediction Using Clouds of Oriented Gradients
inferredcites →https://doi.org/10.1109/cvpr.2016.309openalex-snapshot
Cross Modal Distillation for Supervision Transfer
inferredcites →https://doi.org/10.1109/cvpr.2016.586openalex-snapshot
Structured Prediction of Unobserved Voxels from a Single Depth Image
inferredcites →https://doi.org/10.1109/iccv.2015.114openalex-snapshot
Multi-view Convolutional Neural Networks for 3D Shape Recognition
inferredcites →https://doi.org/10.1109/iccv.2015.23openalex-snapshot
Amodal Completion and Size Constancy in Natural Scenes
inferredcites →https://doi.org/10.1109/icra.2013.6631400openalex-snapshot
Robust real-time visual odometry for dense RGB-D mapping
inferredcites →https://doi.org/10.1109/icra.2014.6907298openalex-snapshot
Unsupervised feature learning for 3D scene labeling
inferredcites →https://doi.org/10.1109/iros.2015.7353481openalex-snapshot
VoxNet: A 3D Convolutional Neural Network for real-time object recognition
inferredcites →https://doi.org/10.1109/lsp.2015.2480802openalex-snapshot
DeepPano: Deep Panoramic Representation for 3-D Shape Recognition
inferredcites →https://doi.org/10.1109/tpami.2016.2577031openalex-snapshot
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
inferredcites →https://doi.org/10.1111/cgf.12694openalex-snapshot
Analysis and synthesis of 3D shape families via deep‐learned generative models of surfaces
inferredcites →https://doi.org/10.1177/0278364913514283openalex-snapshot
Learning hierarchical sparse features for RGB-(D) object recognition
inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot
Very Deep Convolutional Networks for Large-Scale Image Recognition
inferredcites →https://doi.org/10.48550/arxiv.1507.00448openalex-snapshot
Cross Modal Distillation for Supervision Transfer
inferredcites →https://doi.org/10.5555/2853908.2853912openalex-snapshot
Analysis and synthesis of 3D shape families via deep-learned generative models of surfaces
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Depth-Aware CNN for RGB-D Segmentation
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Deep Continuous Fusion for Multi-sensor 3D Object Detection
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Category-Level 6D Object Pose Recovery in Depth Images
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Occlusion Resistant Object Rotation Regression from Point Cloud Segments
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Object Detection and 6D Pose Estimation for Precise Robotic Manipulation in Unstructured Environments
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Foreground Detection and Segmentation in RGB-D Images
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Instance- and Category-Level 6D Object Pose Estimation
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Geometric and Semantic Modeling from RGB-D Data
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RGB-D Image-Based Object Detection: From Traditional Methods to Deep Learning Techniques
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Finding Your (3D) Center: 3D Object Detection Using a Learned Loss
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Generative Sparse Detection Networks for 3D Single-Shot Object Detection
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SG-VAE: Scene Grammar Variational Autoencoder to Generate New Indoor Scenes
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Shape Prior Deformation for Categorical 6D Object Pose and Size Estimation
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Disambiguating Monocular Depth Estimation with a Single Transient
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SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation
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H3DNet: 3D Object Detection Using Hybrid Geometric Primitives
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SPOT: Selective Point Cloud Voting for Better Proposal in Point Cloud Object Detection
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Multi-layer Pointpillars: Multi-layer Feature Abstraction for Object Detection from Point Cloud
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Depth-Adapted CNN for RGB-D Cameras
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A Hybrid Deep Learning Network CNN-SVM for 3D Mesh Segmentation
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Egocentric Activity Recognition and Localization on a 3D Map
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A Closer Look at Invariances in Self-supervised Pre-training for 3D Vision
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DCMAE: A dual-branch contrastive masked autoencoder for 3D object detection
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Towards open-set semantic labeling in 3D point clouds : Analysis on the unknown class
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Semantic scene completion with dense CRF from a single depth image
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3D-SSD: Learning hierarchical features from RGB-D images for amodal 3D object detection
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Pairwise registration of TLS point clouds by deep multi-scale local features
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Image guidance based 3D vehicle detection in traffic scene
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A multilevel fusion network for 3D object detection
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Multi-level object detection by multi-sensor perception of traffic scenes
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A critical analysis of image-based camera pose estimation techniques
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Multi-modal deep feature learning for RGB-D object detection
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3D Object Detection for Autonomous Driving: A Survey
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Shape group Boltzmann machine for simultaneous object segmentation and action classification
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Learning-based object detection and localization for a mobile robot manipulator in SME production
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A deep learning gated architecture for UGV navigation robust to sensor failures
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Recognition of pedestrian activity based on dropped-object detection
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Vulnerable objects detection for autonomous driving: A review
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Ground-distance segmentation of 3D LiDAR point cloud toward autonomous driving
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Generation of geometric interpolations of building types with deep variational autoencoders
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Robust Semantic Mapping in Challenging Environments
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Learning-based simulation and modeling of unorganized chaining behavior using data generated from 3D human motion tracking
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Topology-aware multi-information fusion for object recognition
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Point cloud super‐resolution based on geometric constraints
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Language guided 3D object detection in point clouds for MEP scenes
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Point‐selection and multi‐level‐point‐feature fusion‐based 3D point cloud classification
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Efficient Multi‐Scale Feature Fusion Model for 3D Indoor Object Detection
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From 2d to 3d: Evolution of Object Detection Algorithms and Their Impact on Traffic Systems
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Robust Robot Grasp Detection in Multimodal Fusion
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3D Photogrammetry Point Cloud Segmentation Using a Model Ensembling Framework
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Low-Cost iOS-Based Automated Detection of Under-Construction Interior Drywalls: An Exploratory Study
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Plant detection system based on multi-sensor fusion
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An overview of real-time 3D object detection for mobile robots: towards multi-sensor fusion
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AR-assisted assembly method based on instance segmentation
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Deep learning methods applied to digital elevation models: state of the art
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Modelling the functional dependency between root and shoot compartments to predict the impact of the environment on the architecture of the whole plant: methodology for model fitting on simulated data using Deep Learning techniques
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CNN-Based Object Segmentation in Urban LIDAR with Missing Points
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Continuous Signed Distance Functions for 3D Vision
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Weakly Supervised 3D Reconstruction with Adversarial Constraint
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SEGCloud: Semantic Segmentation of 3D Point Clouds
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Single View Parametric Building Reconstruction from Satellite Imagery
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Matterport3D: Learning from RGB-D Data in Indoor Environments
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Efficient Convolutions for Real-Time Semantic Segmentation of 3D Point Clouds
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VoRTX: Volumetric 3D Reconstruction With Transformers for Voxelwise View Selection and Fusion
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Any-Shot GIN: Generalizing Implicit Networks for Reconstructing Novel Classes
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Indoor Scene Understanding in 2.5/3D for Autonomous Agents: A Survey
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PolishNet-2d and PolishNet-3d: Deep Learning-Based Workpiece Recognition
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A Review on Deep Learning Approaches for 3D Data Representations in Retrieval and Classifications
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Transfer2Depth: Dual Attention Network With Transfer Learning for Monocular Depth Estimation
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A Comprehensive Review on 3D Object Detection and 6D Pose Estimation With Deep Learning
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Graph-Based Hand-Object Meshes and Poses Reconstruction With Multi-Modal Input
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Robust Object Classification Approach Using Spherical Harmonics
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A Review of Recurrent Neural Network Based Camera Localization for Indoor Environments
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Infrastructure 3D Target Detection Based on Multi-Mode Fusion for Intelligent and Connected Vehicles
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Automatic Scene Generation: State-of-the-Art Techniques, Models, Datasets, Challenges, and Future Prospects
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Enhanced Sparse Convolutional Detection Model for 3D Object Detection in Autonomous Vehicles Adapted to Traffic Conditions in Vietnam
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Application of Multi-channel 3D-cube Successive Convolution Network for Convective Storm Nowcasting
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A Decision Fusion Model for 3D Detection of Autonomous Driving
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Target Recognition and 3D Pose Estimation Based on Prior Knowledge and Convolutional Neural Network for Robots
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Temporal Hints in 3D Hand Pose Estimation
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Semantic Frustum Based VoxelNet for 3D Object Detection
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Object Mapping from Disparity Map by Fast Clustering
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PCHPS: The Estimation of 3D Hand Pose and Shape using Point Cloud from a Single Depth Image
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Parameterized B-rep-Based Surface Correspondence Estimation for Category-Level 3D Object Matching Applicable to Multi-Part Items
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A Novel Approach for Leveraging Object Detection for 3D Human Pose Estimation in Complex Human-Robot Collaboration Environments
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Faster 3D Object Detection in RGB-D Image Using 3D Selective Search and Object Pruning
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Amodal detection of 3D objects with separate network output branches
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Bilateral-Branch Fusion Network for 3D Object Detection
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Parallel RCNN: A deep learning method for people detection using RGB-D images
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First-person pose recognition using egocentric workspaces
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Three-Dimensional Object Detection and Layout Prediction Using Clouds of Oriented Gradients
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Learning Dense Correspondence via 3D-Guided Cycle Consistency
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Structured Prediction of Unobserved Voxels from a Single Depth Image
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ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes
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