Generative Modeling of Infinite Occluded Objects for Compositional Scene Representation

By Jinyang Yuan, Bin Li, Xiangyang Xue. 2019

25 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Bernhard Schölkopf
2. Yoshua Bengio
3. Ruslan Salakhutdinov
4. J. Urgen Schmidhuber
5. Sergey Levine
6. Andrea Vedaldi
7. Trevor Darrell
8. Dacheng Tao

Citations in the corpus

• Towards causal generative scene models via competition of experts (2020, background): “Sequential models Our work is closely related to sequential or recurrent approaches to image decomposition and generation (Mnih et al., 2014; Gregor et al., 2015; Eslami et al., 2016; Kosiorek et al., 2018; Yuan et al., 2019).”
• R-SQAIR: Relational Sequential Attend, Infer, Repeat (2019, background): “Existing approaches to unsupervised learning about objects and relations from visual data can be categorized into either parallel [11, 12, 10] or sequential [26, 25, 7, 18, 6, 5, 36], depending on the core mechanism responsible for inferring object representations from a single image.”