13 citations · 54 across the 21 of their papers we have counts for
9 papers · 1 filter
Coplanar Repeats by Energy Minimization
James Pritts, Denys Rozumnyi, M. Pawan Kumar +1
This paper proposes an automated method to detect, group and rectify arbitrarily-arranged coplanar repeated elements via energy minimization. The proposed energy functional combine…
Radially-Distorted Conjugate Translations
James Pritts, Zuzana Kukelova, Viktor Larsson +1
This paper introduces the first minimal solvers that jointly solve for affine-rectification and radial lens distortion from coplanar repeated patterns. Even with imagery from moder…
Fine-tuning CNN Image Retrieval with No Human Annotation
Filip Radenović, Giorgos Tolias, Ondřej Chum
Image descriptors based on activations of Convolutional Neural Networks (CNNs) have become dominant in image retrieval due to their discriminative power, compactness of representat…
Unsupervised object discovery for instance recognition
Oriane Siméoni, Ahmet Iscen, Giorgos Tolias +2
Severe background clutter is challenging in many computer vision tasks, including large-scale image retrieval. Global descriptors, that are popular due to their memory and search e…
Deep Shape Matching
Filip Radenović, Giorgos Tolias, Ondřej Chum
We cast shape matching as metric learning with convolutional networks. We break the end-to-end process of image representation into two parts. Firstly, well established efficient m…
Multiple-Kernel Local-Patch Descriptor
Arun Mukundan, Giorgos Tolias, Ondrej Chum
We propose a multiple-kernel local-patch descriptor based on efficient match kernels of patch gradients. It combines two parametrizations of gradient position and direction, each p…
Panorama to panorama matching for location recognition
Ahmet Iscen, Giorgos Tolias, Yannis Avrithis +2
Location recognition is commonly treated as visual instance retrieval on "street view" imagery. The dataset items and queries are panoramic views, i.e. groups of images taken at a…
Asymmetric Feature Maps with Application to Sketch Based Retrieval
Giorgos Tolias, Ondřej Chum
We propose a novel concept of asymmetric feature maps (AFM), which allows to evaluate multiple kernels between a query and database entries without increasing the memory requiremen…
Fast Spectral Ranking for Similarity Search
Ahmet Iscen, Yannis Avrithis, Giorgos Tolias +2
Despite the success of deep learning on representing images for particular object retrieval, recent studies show that the learned representations still lie on manifolds in a high d…