7 citations · 15 across the 6 of their papers we have counts for
22 papers
Object-Guided Day-Night Visual Localization in Urban Scenes
Assia Benbihi, Cédric Pradalier, Ondřej Chum
We introduce Object-Guided Localization (OGuL) based on a novel method of local-feature matching. Direct matching of local features is sensitive to significant changes in illuminat…
Results and findings of the 2021 Image Similarity Challenge
Zoë Papakipos, Giorgos Tolias, Tomas Jenicek +11
The 2021 Image Similarity Challenge introduced a dataset to serve as a new benchmark to evaluate recent image copy detection methods. There were 200 participants to the competition…
Minimal Solvers for Rectifying from Radially-Distorted Conjugate Translations
James Pritts, Zuzana Kukelova, Viktor Larsson +2
This paper introduces minimal solvers that jointly solve for radial lens undistortion and affine-rectification using local features extracted from the image of coplanar translated…
Graph convolutional networks for learning with few clean and many noisy labels
Ahmet Iscen, Giorgos Tolias, Yannis Avrithis +2
In this work we consider the problem of learning a classifier from noisy labels when a few clean labeled examples are given. The structure of clean and noisy data is modeled by a g…
Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower
Giorgos Tolias, Filip Radenovic, Ondřej Chum
Access to online visual search engines implies sharing of private user content - the query images. We introduce the concept of targeted mismatch attack for deep learning based retr…
No Fear of the Dark: Image Retrieval under Varying Illumination Conditions
Tomas Jenicek, Ondřej Chum
Image retrieval under varying illumination conditions, such as day and night images, is addressed by image preprocessing, both hand-crafted and learned. Prior to extracting image d…