15 citations · 19 across the 32 of their papers we have counts for
50 papers
Invisible Shortcuts: Why Vision Encoders Know Your Camera
Vladan Stojnić, Ryan Ramos, Giorgos Kordopatis-Zilos +2
Deep vision models exploit shortcuts, relying on cues that correlate with supervision signals. Prior work has focused on visible biases, such as object-background or texture correl…
Benchmarking Composed Image Retrieval for Applied Earth Observation
Bill Psomas, Dionysis Christopoulos, Thanasis Petropoulos +6
Remote sensing composed image retrieval (RSCIR) enables search in large satellite image archives using composed queries that combine a reference image with a textual modifier. Alth…
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…
SPAR: Single-Pass Any-Resolution ViT for Open-vocabulary Segmentation
Naomi Kombol, Ivan Martinović, Siniša Šegvić +1
Foundational Vision Transformers (ViTs) have limited effectiveness in tasks requiring fine-grained spatial understanding, due to their fixed pre-training resolution and inherently…
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…
Retrieve and Segment: Are a Few Examples Enough to Bridge the Supervision Gap in Open-Vocabulary Segmentation?
Tilemachos Aravanis, Vladan Stojnić, Bill Psomas +2
Open-vocabulary segmentation (OVS) extends the zero-shot recognition capabilities of vision-language models (VLMs) to pixel-level prediction, enabling segmentation of arbitrary cat…