1 citations · 1 across the 5 of their papers we have counts for
6 papers
Annotations on a Budget: Leveraging Geo-Data Similarity to Balance Model Performance and Annotation Cost
Oana Ignat, Longju Bai, Joan Nwatu +1
Current foundation models have shown impressive performance across various tasks. However, several studies have revealed that these models are not effective for everyone due to the…
Augment the Pairs: Semantics-Preserving Image-Caption Pair Augmentation for Grounding-Based Vision and Language Models
Jingru Yi, Burak Uzkent, Oana Ignat +4
Grounding-based vision and language models have been successfully applied to low-level vision tasks, aiming to precisely locate objects referred in captions. The effectiveness of g…
Human Action Co-occurrence in Lifestyle Vlogs using Graph Link Prediction
Oana Ignat, Santiago Castro, Weiji Li +1
We introduce the task of automatic human action co-occurrence identification, i.e., determine whether two human actions can co-occur in the same interval of time. We create and mak…
Scalable Performance Analysis for Vision-Language Models
Santiago Castro, Oana Ignat, Rada Mihalcea
Joint vision-language models have shown great performance over a diverse set of tasks. However, little is known about their limitations, as the high dimensional space learned by th…
When Did It Happen? Duration-informed Temporal Localization of Narrated Actions in Vlogs
Oana Ignat, Santiago Castro, Yuhang Zhou +3
We consider the task of temporal human action localization in lifestyle vlogs. We introduce a novel dataset consisting of manual annotations of temporal localization for 13,000 nar…
Detecting Inspiring Content on Social Media
Oana Ignat, Y-Lan Boureau, Jane A. Yu +1
Inspiration moves a person to see new possibilities and transforms the way they perceive their own potential. Inspiration has received little attention in psychology, and has not b…