4 papers
Indexing Multimodal Language Models for Large-scale Image Retrieval
Bahey Tharwat, Giorgos Kordopatis-Zilos, Pavel Suma +2
Multimodal Large Language Models (MLLMs) have demonstrated strong cross-modal reasoning capabilities, yet their potential for vision-only tasks remains underexplored. We investigat…
ELViS: Efficient Visual Similarity from Local Descriptors that Generalizes Across Domains
Pavel Suma, Giorgos Kordopatis-Zilos, Yannis Kalantidis +1
Large-scale instance-level training data is scarce, so models are typically trained on domain-specific datasets. Yet in real-world retrieval, they must handle diverse domains, maki…
LOCORE: Image Re-ranking with Long-Context Sequence Modeling
Zilin Xiao, Pavel Suma, Ayush Sachdeva +4
We introduce LOCORE, Long-Context Re-ranker, a model that takes as input local descriptors corresponding to an image query and a list of gallery images and outputs similarity score…
AMES: Asymmetric and Memory-Efficient Similarity Estimation for Instance-level Retrieval
Pavel Suma, Giorgos Kordopatis-Zilos, Ahmet Iscen +1
This work investigates the problem of instance-level image retrieval re-ranking with the constraint of memory efficiency, ultimately aiming to limit memory usage to 1KB per image.…