2 citations · 3 across the 9 of their papers we have counts for
9 papers
Can Vision-Language Models Count? A Synthetic Benchmark and Analysis of Attention-Based Interventions
Saurav Sengupta, Nazanin Moradinasab, Jiebei Liu +1
Recent research suggests that Vision Language Models (VLMs) often rely on inherent biases learned during training when responding to queries about visual properties of images. Thes…
Examining Vision Language Models through Multi-dimensional Experiments with Vision and Text Features
Saurav Sengupta, Nazanin Moradinasab, Jiebei Liu +1
Recent research on Vision Language Models (VLMs) suggests that they rely on inherent biases learned during training to respond to questions about visual properties of an image. The…
Towards Robust Multimodal Representation: A Unified Approach with Adaptive Experts and Alignment
Nazanin Moradinasab, Saurav Sengupta, Jiebei Liu +2
Healthcare relies on multiple types of data, such as medical images, genetic information, and clinical records, to improve diagnosis and treatment. However, missing data is a commo…
GenGMM: Generalized Gaussian-Mixture-based Domain Adaptation Model for Semantic Segmentation
Nazanin Moradinasab, Hassan Jafarzadeh, Donald E. Brown
Domain adaptive semantic segmentation is the task of generating precise and dense predictions for an unlabeled target domain using a model trained on a labeled source domain. While…
ProtoGMM: Multi-prototype Gaussian-Mixture-based Domain Adaptation Model for Semantic Segmentation
Nazanin Moradinasab, Laura S. Shankman, Rebecca A. Deaton +2
Domain adaptive semantic segmentation aims to generate accurate and dense predictions for an unlabeled target domain by leveraging a supervised model trained on a labeled source do…
Label-efficient Contrastive Learning-based model for nuclei detection and classification in 3D Cardiovascular Immunofluorescent Images
Nazanin Moradinasab, Rebecca A. Deaton, Laura S. Shankman +2
Recently, deep learning-based methods achieved promising performance in nuclei detection and classification applications. However, training deep learning-based methods requires a l…
Weakly Supervised Deep Instance Nuclei Detection using Points Annotation in 3D Cardiovascular Immunofluorescent Images
Nazanin Moradinasab, Yash Sharma, Laura S. Shankman +2
Two major causes of death in the United States and worldwide are stroke and myocardial infarction. The underlying cause of both is thrombi released from ruptured or eroded unstable…
Universal Hysteresis Identification Using Extended Preisach Neural Network
Mojtaba Farrokh, Mehrdad Shafiei Dizaji, Farzad Shafiei Dizaji +1
Hysteresis phenomena have been observed in different branches of physics and engineering sciences. Therefore, several models have been proposed for hysteresis simulation in differe…
A Dynamic Sustainable Competitive Petroleum Supply Chain Model for Various Stakeholders with Shared Facilities
Nazanin Moradinasab, Hassan Jafarzadeh, M. R. Amin-Naseri +1
Petroleum industry is the world's biggest energy source, and its associated industries such as production, distribution, refining and retail are considered as the largest ones in t…