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Ismini Lourentzou

57 papers hereh-index 191.4k citations96 works total

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

author position
  • first author1
  • middle author20
  • last author30

Across the 51 of 57 papers where every author was matched, so the position is known.

fields
  • cs.CV31
  • cs.CL6
  • cs.AI5
  • cs.LG5
  • cs.RO5
  • cs.CR1
same name
  • Ismini Lourentzou — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192026
most citedRationalization for Explainable NLP: A Survey

56 citations · 121 across the 49 of their papers we have counts for

collaborators
Showing 2024 · cs.CVShow all

4 papers · 2 filters

cs.CV2024

CALICO: Part-Focused Semantic Co-Segmentation with Large Vision-Language Models

Kiet A. Nguyen, Adheesh Juvekar, Tianjiao Yu +2

Recent advances in Large Vision-Language Models (LVLMs) have enabled general-purpose vision tasks through visual instruction tuning. While existing LVLMs can generate segmentation…

cs.CV2024

PRIMA: Multi-Image Vision-Language Models for Reasoning Segmentation

Muntasir Wahed, Kiet A. Nguyen, Adheesh Sunil Juvekar +6

Despite significant advancements in Large Vision-Language Models (LVLMs)' capabilities, existing pixel-grounding models operate in single-image settings, limiting their ability to…

cs.CV2024

RAVEL: Rare Concept Generation and Editing via Graph-driven Relational Guidance

Kavana Venkatesh, Yusuf Dalva, Ismini Lourentzou +1

Despite impressive visual fidelity, current text-to-image (T2I) diffusion models struggle to depict rare, complex, or culturally nuanced concepts due to training data limitations.…

cs.CV2024

Commonsense for Zero-Shot Natural Language Video Localization

Meghana Holla, Ismini Lourentzou

Zero-shot Natural Language-Video Localization (NLVL) methods have exhibited promising results in training NLVL models exclusively with raw video data by dynamically generating vide…

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