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Mikel Williams-Lekuona

2 papers hereh-index 28 citations3 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.IR2

identity via Semantic Scholar / OpenAlex

most citedFiCo-ITR: bridging fine-grained and coarse-grained image-text retrieval for comparative performance analysis

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.IR2026

Image Complexity-Aware Adaptive Retrieval for Efficient Vision-Language Models

Mikel Williams-Lekuona, Georgina Cosma

Vision transformers in vision-language models typically use the same amount of compute for every image, regardless of whether it is simple or complex. We propose ICAR (Image Comple…

cs.IR2024★ 2 cited

FiCo-ITR: bridging fine-grained and coarse-grained image-text retrieval for comparative performance analysis

Mikel Williams-Lekuona, Georgina Cosma

In the field of Image-Text Retrieval (ITR), recent advancements have leveraged large-scale Vision-Language Pretraining (VLP) for Fine-Grained (FG) instance-level retrieval, achievi…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.