Image Retrieval with Structured Object Queries Using Latent Ranking SVM
By Tian Lan, Weilong Yang, Yang Wang, Greg Mori. 2012
58 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Information Retrieval & Search
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Luc Van Gool
- Trevor Darrell
- Dacheng Tao
- Xiaogang Wang
- Andrew Zisserman
- Li Fei-Fei
- Jitendra Malik
- Bernt Schiele
In Information Retrieval & Search
Citations in the corpus
- A simple neural network module for relational reasoning (2017, background): “gh grounding language in spatial percepts has a long-standing tradition, the majority of previous research has focused on either rule-based spatial representations or hand-engineered spatial features [8, 10, 20, 21, 24, 29, 38, 39]. Although there are some attempts to learn spatial relations using s”
- A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input (2014, background): “We realize that the skilled use of spatial relations is a complex task and grounding spatial relations is a research thread on its own (e.g. [17], [18] and [19]).”
- Towards a Visual Turing Challenge (2014, background): “DAQUAR’s language scope is beyond the nouns or tuples that are typical to recognition datasets [43, 44, 45].”
- Resolving Language and Vision Ambiguities Together: Joint Segmentation & Prepositional Attachment Resolution in Captioned Scenes (2016, background): “In Section 4, we describe each of the modules in detail, making concrete their respective features, and other details.”
- A Pooling Approach to Modelling Spatial Relations for Image Retrieval and Annotation (2014, methodology): “Modeling spatial relations in images Previous work has addressed the problem of image retrieval with structured object queries [17] where the authors consider structured queries - a textual input with a binary spatial preposition between two nouns - together with a limited number of different spatia”