Search Results for author: A. Vedaldi

Found 3 papers, 1 papers with code

ResearchDoom and CocoDoom: Learning Computer Vision with Games

no code implementations7 Oct 2016 A. Mahendran, H. Bilen, J. F. Henriques, A. Vedaldi

In this short note we introduce ResearchDoom, an implementation of the Doom first-person shooter that can extract detailed metadata from the game.

Monocular Depth Estimation Motion Estimation +3

Deep Learning for Semantic Part Segmentation with High-Level Guidance

no code implementations10 May 2015 S. Tsogkas, I. Kokkinos, G. Papandreou, A. Vedaldi

We also investigate the performance of our approach ``in the wild'', without information concerning the objects' bounding boxes, using an object detector to guide a multi-scale segmentation scheme.

Object Segmentation +2

Deep Face Recognition

1 code implementation1 Jan 2015 O. M. Parkhi, A. Vedaldi, A. Zisserman

The goal of this paper is face recognition -- from either a single photograph or from a set of faces tracked in a video.

Ranked #4 on Face Verification on Labeled Faces in the Wild (using extra training data)

Face Recognition Face Verification

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