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researcher

João Carreira

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4
same name
  • João Carreira — 17 papers, h 38
  • João Carreira — 17 papers, h 9

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20102021
most citedImage Segmentation by Discounted Cumulative Ranking on Maximal Cliques

6 citations · 12 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2021

Input-level Inductive Biases for 3D Reconstruction

Wang Yifan, Carl Doersch, Relja Arandjelović +2

Much of the recent progress in 3D vision has been driven by the development of specialized architectures that incorporate geometrical inductive biases. In this paper we tackle 3D r…

cs.CV2014★ 5 cited

Virtual View Networks for Object Reconstruction

João Carreira, Abhishek Kar, Shubham Tulsiani +1

All that structure from motion algorithms "see" are sets of 2D points. We show that these impoverished views of the world can be faked for the purpose of reconstructing objects in…

cs.CV2014★ 1 cited

Category-Specific Object Reconstruction from a Single Image

Abhishek Kar, Shubham Tulsiani, João Carreira +1

Object reconstruction from a single image -- in the wild -- is a problem where we can make progress and get meaningful results today. This is the main message of this paper, which…

cs.CV2010★ 6 cited

Image Segmentation by Discounted Cumulative Ranking on Maximal Cliques

Joao Carreira, Adrian Ion, Cristian Sminchisescu

We propose a mid-level image segmentation framework that combines multiple figure-ground hypothesis (FG) constrained at different locations and scales, into interpretations that ti…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.