Nazanin Moradinasab

15 papers B 1C 1Journal 10Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Can Vision-Language Models Count? A Synthetic Benchmark and Analysis of Attention-Based Interventions.
CoRR
Saurav Sengupta, Nazanin Moradinasab, Jiebei Liu, Donald E. Brown
2025 J jnl
Examining Vision Language Models through Multi-dimensional Experiments with Vision and Text Features.
CoRR
Saurav Sengupta, Nazanin Moradinasab, Jiebei Liu, Donald E. Brown
2025 — conf
Towards Robust Multimodal Representation: A Unified Approach with Adaptive Experts and Alignment.
ICCVW
Nazanin Moradinasab, Saurav Sengupta, Jiebei Liu, Sana Syed, Donald E. Brown
2025 J jnl
Towards Robust Multimodal Representation: A Unified Approach with Adaptive Experts and Alignment.
CoRR
Nazanin Moradinasab, Saurav Sengupta, Jiebei Liu, Sana Syed, Donald E. Brown
2024 J jnl
GenGMM: Generalized Gaussian-Mixture-based Domain Adaptation Model for Semantic Segmentation.
CoRR
Nazanin Moradinasab, Hassan Jafarzadeh, Donald E. Brown
2024 B conf
Gengmm: Generalized Gaussian-Mixture-Based Domain Adaptation Model for Semantic Segmentation.
ICIP
Nazanin Moradinasab, Hassan Jafarzadeh, Donald E. Brown
2024 C conf
ProtoGMM: Multi-prototype Gaussian-Mixture-based Domain Adaptation Model for Semantic Segmentation.
ICMLA
Nazanin Moradinasab, Laura S. Shankman, Rebecca A. Deaton, Gary K. Owens, Donald E. Brown
2024 J jnl
ProtoGMM: Multi-prototype Gaussian-Mixture-based Domain Adaptation Model for Semantic Segmentation.
CoRR
Nazanin Moradinasab, Laura S. Shankman, Rebecca A. Deaton, Gary K. Owens, Donald E. Brown
2024 J jnl
Universal representation learning for multivariate time series using the instance-level and cluster-level supervised contrastive learning.
Data Min. Knowl. Discov.
Nazanin Moradinasab, Suchetha Sharma, Ronen Bar-Yoseph, Shlomit Radom-Aizik, Kenneth C. Bilchick, Dan M. Cooper, Arthur Weltman, Donald E. Brown
2023 — conf
Label-Efficient Contrastive Learning-Based Model for Nuclei Detection and Classification in 3D Cardiovascular Immunofluorescent Images.
MILLanD@MICCAI
Nazanin Moradinasab, Rebecca A. Deaton, Laura S. Shankman, Gary K. Owens, Donald E. Brown
2023 J jnl
Label-efficient Contrastive Learning-based model for nuclei detection and classification in 3D Cardiovascular Immunofluorescent Images.
CoRR
Nazanin Moradinasab, Rebecca A. Deaton, Laura S. Shankman, Gary K. Owens, Donald E. Brown
2022 — conf
Weakly Supervised Deep Instance Nuclei Detection using Points Annotation in 3D Cardiovascular Immunofluorescent Images.
MLHC
Nazanin Moradinasab, Yash Sharma, Laura S. Shankman, Gary K. Owens, Donald E. Brown
2022 J jnl
Weakly Supervised Deep Instance Nuclei Detection using Points Annotation in 3D Cardiovascular Immunofluorescent Images.
CoRR
Nazanin Moradinasab, Yash Sharma, Laura S. Shankman, Gary K. Owens, Donald E. Brown
2020 J jnl
Universal Hysteresis Identification Using Extended Preisach Neural Network.
CoRR
Mojtaba Farrokh, Mehrdad Shafiei Dizaji, Farzad Shafiei Dizaji, Nazanin Moradinasab
2013 J jnl
No-wait two stage hybrid flow shop scheduling with genetic and adaptive imperialist competitive algorithms.
J. Exp. Theor. Artif. Intell.
Nazanin Moradinasab, Rasoul Shafaei, Meysam Rabiee, Pezhman Ramezani