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Ioana Croitoru

7 accepted papers

2026

AutoMalDesc: Large-Scale Script Analysis for Cyber Threat Research

Alexandru-Mihai Apostu, Andrei Preda, Alexandra Daniela Damir, Diana Bolocan, Radu Tudor Ionescu, Ioana Croitoru +1
AAAI 2026technical

Generating thorough natural language explanations for threat detections remains an open problem in cybersecurity research, despite significant advances in automated malware detection systems. In this work, we present AutoMalDesc, an automated static analysis summarization framework that, following i

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2026

ZeroBench: An Impossible Visual Benchmark for Contemporary Large Multimodal Models

Jonathan Roberts, Mohammad Reza Taesiri, Ansh Sharma, Akash Gupta, Samuel Roberts, Ioana Croitoru +27
ICML 2026poster

Large Multimodal Models (LMMs) exhibit shortfalls when interpreting images and, by some measures, have poorer spatial cognition than young children or animals. Despite this, they attain high scores on many popular visual benchmarks, with headroom rapidly eroded by surging model progress. To address …

Cited by 0Source ↗Scholar ↗
2023

Moment Detection in Long Tutorial Videos

Ioana Croitoru, Simion-Vlad Bogolin, Samuel Albanie, Yang Liu, Zhaowen Wang, Seunghyun Yoon +3
ICCV 2023poster

Tutorial videos play an increasingly important role in professional development and self-directed education. For users to realise the full benefits of this medium, tutorial videos must be efficiently searchable. In this work, we focus on the task of moment detection, in which the goal is to localise…

Cited by 4PDF ↗code ↗Scholar ↗
2022

Cross Modal Retrieval With Querybank Normalisation

Simion-Vlad Bogolin, Ioana Croitoru, Hailin Jin, Yang Liu, Samuel Albanie
CVPR 2022poster

Profiting from large-scale training datasets, advances in neural architecture design and efficient inference, joint embeddings have become the dominant approach for tackling cross-modal retrieval. In this work we first show that, despite their effectiveness, state-of-the-art joint embeddings suffer…

Cited by 99PDF ↗code ↗Scholar ↗
2021

TeachText: CrossModal Generalized Distillation for Text-Video Retrieval

Ioana Croitoru, Simion-Vlad Bogolin, Marius Leordeanu, Hailin Jin, Andrew Zisserman, Samuel Albanie +1
ICCV 2021poster

In recent years, considerable progress on the task of text-video retrieval has been achieved by leveraging large-scale pretraining on visual and audio datasets to construct powerful video encoders. By contrast, despite the natural symmetry, the design of effective algorithms for exploiting large-sca…

Cited by 167PDF ↗code ↗Scholar ↗
2020

A hierarchical approach to vision-based language generation: from simple sentences to complex natural language

Simion-Vlad Bogolin, Ioana Croitoru, Marius Leordeanu
COLING 2020main

Automatically describing videos in natural language is an ambitious problem, which could bridge our understanding of vision and language. We propose a hierarchical approach, by first generating video descriptions as sequences of simple sentences, followed at the next level by a more complex and flue…

Cited by 7Source ↗PDF ↗Scholar ↗
2017

Unsupervised Learning From Video to Detect Foreground Objects in Single Images

Ioana Croitoru, Simion-Vlad Bogolin, Marius Leordeanu
ICCV 2017poster

Unsupervised learning from visual data is one of the most difficult challenges in computer vision. It is essential for understanding how visual recognition works. Learning from unsupervised input has an immense practical value, as huge quantities of unlabeled videos can be collected at low cost. Her…

Cited by 65PDF ↗Scholar ↗