4 citations · 4 across the 8 of their papers we have counts for
5 papers · 1 filter
RepProbe: Can Video Language Models Count Repeated Actions? A Diagnostic Benchmark
Mahsa Khoshnoodi, Sarah Adel Bargal
Repetition counting requires identifying and enumerating action cycles over time. While state-of-the-art video language models describe actions fluently, they fail to reliably coun…
Sidecar: Training-Free Semantic Reuse for Character-Consistent Free-form Visual Storytelling
Sibo Dong, Sarah Adel Bargal
Visual storytelling requires generating images that follow a narrative while preserving consistent character identities across frames. In free-form story generation, a character is…
ChartProbe: A Diagnostic Study on Visual Reasoning through Perception, Grounding, and Simple Reasoning
Mahsa Khoshnoodi, Sarah Adel Bargal
Vision-language models (VLMs) remain unreliable on chart questions that require reasoning over visual quantities, and this weakness is usually attributed to a reasoning deficit and…
PROVE: Training-Free Prompt Recovery using Verifiable Evidence
Rupayan Mallick, Mahsa Khoshnoodi, Sarah Adel Bargal
Modern text-to-image models can generate highly realistic images from natural-language prompts, while recent advances in prompt inversion have made it increasingly feasible to reco…
FreeStory: Training-Free Character Consistency for Free-Form Visual Storytelling
Sibo Dong, Ismail Shaheen, Sarah Adel Bargal
Visual storytelling aims to generate image sequences that are both aligned with narrative prompts and consistent in character appearance across images. Recent training-free methods…