On the Semantics of a Glance at a Scene
By Irving Biederman. 2017
118 citations recorded by the source corpus.
Subfields: Artificial Intelligence
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Abhinav Kumar Gupta
- Trevor Darrell
- Jitendra Malik
- Sergey Levine
- Alexei A. Efros
- Andrew Zisserman
- Antonio Torralba
- Kaiming He
Citations in the corpus
- Contextual Priming and Feedback for Faster R-CNN (2016, background): “It is widely accepted that human visual inference of objects is heavily influenced by ‘context’, be it contextual relationships [16, 52], priming for focusing attention [13–15] or importance of scene context [39, 53–55].”
- BlobGAN: Spatially Disentangled Scene Representations (2022, background): “The ideal representation of scenes must go beyond simply disentangling images into their component parts, and capture the rich contextual relationships between these parts that dictate the process of scene formation [9, 26].”
- Why Do Line Drawings Work? A Realism Hypothesis (2020, background): “, Biederman (1981). Learning to interpret a new artistic style may be analogous to learning to interpret the visual cues in a moonlit forest of dark silhouettes, versus those of a highly-textured object viewed under bright sunlight.”
- Exploring Person Context and Local Scene Context for Object Detection (2015, background): “Biederman [2] proposed five different kinds of relationships between objects: support, interposition, probability, location and size.”