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cs.CV2023
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…
cs.CV2023
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…
cs.CV2023
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…