• Publications
  • Influence
MatConvNet: Convolutional Neural Networks for MATLAB
MatConvNet is an open source implementation of Convolutional Neural Networks (CNNs) with a deep integration in the MATLAB environment. The toolbox is designed with an emphasis on simplicity andExpand
  • 2,463
  • 211
  • Open Access
HPatches: A Benchmark and Evaluation of Handcrafted and Learned Local Descriptors
In this paper, we propose a novel benchmark for evaluating local image descriptors. We demonstrate that the existing datasets and evaluation protocols do not specify unambiguously all aspects ofExpand
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  • 66
  • Open Access
Understanding image representations by measuring their equivariance and equivalence
  • Karel Lenc, A. Vedaldi
  • Computer Science
  • IEEE Conference on Computer Vision and Pattern…
  • 21 November 2014
Despite the importance of image representations such as histograms of oriented gradients and deep Convolutional Neural Networks (CNN), our theoretical understanding of them remains limited. Aiming atExpand
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  • 15
  • Open Access
Learning Covariant Feature Detectors
Local covariant feature detection, namely the problem of extracting viewpoint invariant features from images, has so far largely resisted the application of machine learning techniques. In thisExpand
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  • Open Access
Large scale evaluation of local image feature detectors on homography datasets
We present a large scale benchmark for the evaluation of local feature detectors. Our key innovation is the introduction of a new evaluation protocol which extends and improves the standard detectionExpand
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  • Open Access
R-CNN minus R
Deep convolutional neural networks (CNNs) have had a major impact in most areas of image understanding, including object category detection. In object detection, methods such as R-CNN have obtainedExpand
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  • 6
  • Open Access
A Head-Mounted Device for Recognizing Text in Natural Scenes
We present a mobile head-mounted device for detecting and tracking text that is encased in an ordinary flat-cap hat. The main parts of the device are an integrated camera and audio webcam togetherExpand
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  • 2
  • Open Access
WxBS: Wide Baseline Stereo Generalizations
We have presented a new problem -- the wide multiple baseline stereo (WxBS) -- which considers matching of images that simultaneously differ in more than one image acquisition factor such asExpand
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  • Open Access
Non-Differentiable Supervised Learning with Evolution Strategies and Hybrid Methods
In this work we show that Evolution Strategies (ES) are a viable method for learning non-differentiable parameters of large supervised models. ES are black-box optimization algorithms that estimateExpand
  • 6
  • 2
  • Open Access
Understanding Image Representations by Measuring Their Equivariance and Equivalence
Despite the importance of image representations such as histograms of oriented gradients and deep Convolutional Neural Networks (CNN), our theoretical understanding of them remains limited. Aimed atExpand
  • 3