Part-based modelling of compound scenes from images
By Anton van den Hengel, Chris Russell, Anthony R. Dick, John W. Bastian, Daniel W. Pooley, Lachlan Fleming, Lourdes de Agapito. 2015
31 citations recorded by the source corpus.
Subfields: Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Graphics and Computer-Aided Design
- Jiajun Wu
- Jitendra Malik
- Josh Tenenbaum
- William T. Freeman
- Alexei A. Efros
- Hao Su
- Shubham Tulsiani
- Leonidas J. Guibas
In Computer Vision and Pattern Recognition
- Luc Van Gool
- Jitendra Malik
- Andrea Vedaldi
- Trevor Darrell
- Dacheng Tao
- Xiaogang Wang
- Ming-Hsuan Yang
- Andrew Zisserman
Citations in the corpus
- What can the brain teach us about building artificial intelligence? (2016, background): “Certainly one could argue that language should be included on any short list of key ingredients in human intelligence: For example, Mikolov et al. (2016) featured language prominently in their recent paper sketching challenge problems and a road map for AI.”
- Generative Modeling of Infinite Occluded Objects for Compositional Scene Representation (2019, unknown): “The learned knowledge is applicable to an infinite number of novel scenes composed of objetcs similar to the ones that have been observed before (Biederman, 1987; van den Hengel et al., 2015).”
- Learning to Infer and Execute 3D Shape Programs (2019, background): “Where the systems have been most successful, however, are when they leverage a large shape–component library (Chaudhuri et al., 2011; Schulz et al., 2017) or are applied to a sparse solution space (van den Hengel et al., 2015).”
- Learning Shape Abstractions by Assembling Volumetric Primitives (2016, background): “In a similar spirit, a few modern approaches have attempted to reconstruct objects/scenes using simple primitives, including Lego pieces [35] and qualitative 3D blocks [12].”