1 citations · 1 across the 4 of their papers we have counts for
4 papers
Positional Bias in Multimodal Embedding Models: Do They Favor the Beginning, the Middle, or the End?
Kebin Wu, Fatima Albreiki
Positional bias - where models overemphasize certain positions regardless of content - has been shown to negatively impact model performance across various tasks. While recent rese…
FineLIP: Extending CLIP's Reach via Fine-Grained Alignment with Longer Text Inputs
Mothilal Asokan, Kebin Wu, Fatima Albreiki
As a pioneering vision-language model, CLIP (Contrastive Language-Image Pre-training) has achieved significant success across various domains and a wide range of downstream vision-…
On Using Deep Learning Proxies as Forward Models in Deep Learning Problems
Fatima Albreiki, Nidhal Belayouni, Deepak K. Gupta
Physics-based optimization problems are generally very time-consuming, especially due to the computational complexity associated with the forward model. Recent works have demonstra…
On the Robustness of 3D Object Detectors
Fatima Albreiki, Sultan Abughazal, Jean Lahoud +3
In recent years, significant progress has been achieved for 3D object detection on point clouds thanks to the advances in 3D data collection and deep learning techniques. Neverthel…