53 citations · 173 across the 26 of their papers we have counts for
4 papers · 1 filter
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…
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…