6 citations · 11 across the 4 of their papers we have counts for
6 papers
Dark Side Augmentation: Generating Diverse Night Examples for Metric Learning
Albert Mohwald, Tomas Jenicek, Ondřej Chum
Image retrieval methods based on CNN descriptors rely on metric learning from a large number of diverse examples of positive and negative image pairs. Domains, such as night-time i…
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…
The 2021 Image Similarity Dataset and Challenge
Matthijs Douze, Giorgos Tolias, Ed Pizzi +9
This paper introduces a new benchmark for large-scale image similarity detection. This benchmark is used for the Image Similarity Challenge at NeurIPS'21 (ISC2021). The goal is to…
Learning and aggregating deep local descriptors for instance-level recognition
Giorgos Tolias, Tomas Jenicek, Ondřej Chum
We propose an efficient method to learn deep local descriptors for instance-level recognition. The training only requires examples of positive and negative image pairs and is perfo…
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…
Linking Art through Human Poses
Tomas Jenicek, Ondřej Chum
We address the discovery of composition transfer in artworks based on their visual content. Automated analysis of large art collections, which are growing as a result of art digiti…