[visionlist] FAPESP Postdoc position: Urban scene description using computer vision and natural language processing

Hugo Neves hugo.neves2010 at gmail.com
Wed Jul 27 10:02:58 -04 2022

** FAPESP Post-Doctoral Fellowship in Computer Vision **


Project title: New methods for image captioning: a framework based on
computer vision and natural language processing

Deadline for submissions: 2022-08-26

Application details: see below

Scene description is a process that aims to associate one or more textual
sentences to an image. Concerning urban infrastructure, this is a technique
that allows the description of urban scenarios, such as the
characterization of sidewalks in terms of size, the identification of
objects and the positional relationship they have with each other, among
others. In recent years important advances have been achieved in this task
through the use of deep neural network techniques. These advances are
facilitated by the greater availability of GPUs and large data sets.

Furthermore, advances achieved by neural networks have been mainly obtained
in individual modalities such as vision, language or sound. In many cases,
real-world problems have components that are embedded in more than one

In this sense, this project aims at developing computational methods to
improve the processes of description of urban scenes. As an object of
study, we intend to explore remote-sensing and street-level images. The
project will involve the use of computer vision techniques associated with
natural language processing. The main idea is to use the textual language
framework to improve the generated descriptions.

This opportunity is open to candidates of any nationality. The selected
candidate will receive a Post-Doctoral fellowship from the São Paulo
Research Foundation (FAPESP) in the amount of R$ 8,479.20 monthly and a
research contingency fund, equivalent to 10% of the annual value of the
fellowship which should be spent in items directly related to the research


Application details

Please send the following documents to: thematic.data.science.usp at gmail.com

- CV
- Link to ORCID, Google Scholar, or ResearcherID
- Summary of doctoral thesis and other relevant works
- Two recommendation letters from former supervisors or collaborators.


Hugo Neves de Oliveira
PhD. in Computer Science - UFMG
Post-Doctoral Researcher at Creativision/USP
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