Seeing 3D Chairs: Exemplar Part-Based 2D-3D Alignment Using a Large Dataset of CAD Models
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- Type
- article
- Published
- 2014-06-23
- Cited by
- 553
- References
- 40
- Access
- Open access
- OpenAlex
- https://openalex.org/W2010625607
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:13989517
Keywords
Computer science, Discriminative model, Pascal (unit), CAD, Artificial intelligence
References
- A Gaussian Approximation of Feature Space for Fast Image Similarity
- Teaching 3D geometry to deformable part models
- Viewpoint-aware object detection and pose estimation
- Painting-to-3D model alignment via discriminative visual elements
- Ensemble of exemplar-SVMs for object detection and beyond
- Representing Videos Using Mid-level Discriminative Patches
- The viewpoint consistency constraint
- The Pascal Visual Object Classes (VOC) Challenge
- Blocks That Shout: Distinctive Parts for Scene Classification
- Data-Driven Scene Understanding from 3D Models
- Estimating the aspect layout of object categories
- Parsing IKEA Objects: Fine Pose Estimation
- Understanding Indoor Scenes Using 3D Geometric Phrases
- Analyzing 3D Objects in Cluttered Images
- Total Recall: Automatic Query Expansion with a Generative Feature Model for Object Retrieval
- The power of comparative reasoning
- 3D Object Detection and Viewpoint Estimation with a Deformable 3D Cuboid Model
- Detailed 3D Representations for Object Recognition and Modeling
- Mid-level Visual Element Discovery as Discriminative Mode Seeking
- Smooth object retrieval using a bag of boundaries
Cited by
- Convolutional Neural Networks for joint object detection and pose estimation: A comparative study
- 3D-Assisted Feature Synthesis for Novel Views of an Object
- Monocular Object Instance Segmentation and Depth Ordering with CNNs
- FlowNet: Learning Optical Flow with Convolutional Networks
- Part level transfer regularization for enhancing exemplar SVMs
- Mining Mid-level Visual Patterns with Deep CNN Activations
- Lifting Object Detection Datasets into 3D
- Data‐Driven Shape Analysis and Processing
- Learning 3D Articulation and Deformation using 2D Images
- Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views
- Understanding Deep Features with Computer-Generated Imagery
- Deep Convolutional Inverse Graphics Network
- Inferring 3D Object Pose in RGB-D Images
- A Quest for Visual Commonsense: Scene Understanding by Functional and Physical Reasoning
- Learning to generate chairs with convolutional neural networks
- 3D object class detection in the wild
- Three viewpoints toward exemplar SVM
- Learning descriptors for object recognition and 3D pose estimation
- Joint calibration of Ensemble of Exemplar SVMs
- Don't just listen, use your imagination: Leveraging visual common sense for non-visual tasks
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