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About

Welcome to the CALVIN research group homepage. We are part of the IPAB institute of the University of Edinburgh.

We research several topics related to learning in computer vision. Our current focus is on weakly supervised learning of object classes, semantic segmentation, and large-scale auto-annotation.

New: website of Vittorio Ferrari, including research at Google

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Recent news

  • Technical report on learning single-image 3D reconstruction by generative modelling of shape, pose and shading, extending our BMVC 2018 paper
  • Software release: Differentiable Renderer for TensorFlow (DIRT)
  • Paper on generating and reconstructing 3D meshes with only 2D supervision accepted to BMVC 2018
  • Two papers accepted to CVPR 2018
  • Technical report on generative modelling of 3D object layouts in apartments
  • Software Release for Joint learning of object and action detectors
More News 

Highlights

COCO-Stuff Image difficulty estimator
Region-based Sem. Segm.
with End-to-End Training		 PASCAL07 center-click annotations

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