13 citations · 54 across the 21 of their papers we have counts for
6 papers · 1 filter
Understanding and Improving Kernel Local Descriptors
Arun Mukundan, Giorgos Tolias, Andrei Bursuc +2
We propose a multiple-kernel local-patch descriptor based on efficient match kernels from pixel gradients. It combines two parametrizations of gradient position and direction, each…
Local Orthogonal-Group Testing
Ahmet Iscen, Ondrej Chum
This work addresses approximate nearest neighbor search applied in the domain of large-scale image retrieval. Within the group testing framework we propose an efficient off-line co…
Hybrid Diffusion: Spectral-Temporal Graph Filtering for Manifold Ranking
Ahmet Iscen, Yannis Avrithis, Giorgos Tolias +2
State of the art image retrieval performance is achieved with CNN features and manifold ranking using a k-NN similarity graph that is pre-computed off-line. The two most successful…
Rectification from Radially-Distorted Scales
James Pritts, Zuzana Kukelova, Viktor Larsson +1
This paper introduces the first minimal solvers that jointly estimate lens distortion and affine rectification from repetitions of rigidly transformed coplanar local features. The…
Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking
Filip Radenović, Ahmet Iscen, Giorgos Tolias +2
In this paper we address issues with image retrieval benchmarking on standard and popular Oxford 5k and Paris 6k datasets. In particular, annotation errors, the size of the dataset…
Mining on Manifolds: Metric Learning without Labels
Ahmet Iscen, Giorgos Tolias, Yannis Avrithis +1
In this work we present a novel unsupervised framework for hard training example mining. The only input to the method is a collection of images relevant to the target application a…