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Humans can predict the functionality of an object even without any surroundings, since their knowledge and experience would allow them to "hallucinate" the interaction or usage scenarios involving the object.
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Hallucinated Humans As the Hidden Context for Labeling 3D Scenes. In Proc. IEEE Conf. on Computer Vision & Pattern Recognition
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Learning Fine-Grained Image Similarity with Deep Ranking. In Proc. IEEE Conf. on Computer Vision & Pattern Recognition
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Interaction Context (ICON): Towards a Geometric Functionality Descriptor
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Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling. In NIPS
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Geodesic Convolutional Neural Networks on Riemannian Manifolds. In IEEE Workshop on 3D Representation and Recognition
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Learning a Predictable and Generative Vector Representation for Objects. In Proc. Euro. Conf. on Computer Vision
Rohit Girdhar, David F. Fouhey, Mikel Rodriguez, and Abhinav Gupta. 2016 · 2016
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Visual Scenes Are Categorized by Function
Michelle R. Greene, Christopher Baldassano, Diane M. Beck, and Fei-Fei Li. 2016 · 2016
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RAID: A Relation-augmented Image Descriptor
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Learning How Objects Function via Co-Analysis of Interactions
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Action-Driven 3D Indoor Scene Evolution
Rui Ma, Honghua Li, Changqing Zou, Zicheng Liao, Xin Tong, and Hao Zhang. 2016 · 2016
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PiGraphs: Learning Interaction Snapshots from Observations
Manolis Savva, Angel X. Chang, Pat Hanrahan, Matthew Fisher, and Matthias Nießner. 2016 · 2016
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Learning to Predict Part Mobility from a Single Static Snapshot
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GRASS: Generative Recursive Autoencoders for Shape Structures
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Understanding and Exploiting Object Interaction Landscapes
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PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space. In NIPS
Charles R. Qi, Li Yi, Hao Su, and Leonidas J. Guibas. 2017 · 2017
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ComplementMe: Weakly-supervised Component Suggestions for 3D Modeling
Minhyuk Sung, Hao Su, Vladimir G. Kim, Siddhartha Chaudhuri, and Leonidas Guibas. 2017 · 2017
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Transferring Objects: Joint Inference of Container and Human Pose. In Proc. Int. Conf. on Computer Vision
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Spatial Transformer Networks. In NIPS
Max Jaderberg, Karen Simonyan, Andrew Zisserman, and koray kavukcuoglu. 2015 · 2025
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