SCALOR: Generative World Models with Scalable Object Representations J Jiang*, S Janghorbani*, G De Melo, S Ahn International Conference on Learning Representations (ICLR 2020), 2019 | 151* | 2019 |
MultiModal Bias: Introducing a Framework for Stereotypical Bias Assessment beyond Gender and Race in Vision Language Models S Janghorbani, G De Melo European Chapter of ACL (EACL), 2023 | 26 | 2023 |
Domain authoring assistant for intelligent virtual agent S Janghorbani, A Modi, J Buhmann, M Kapadia International Conference on Autonomous Agents and MultiAgent Systems (AAMAS), 2019 | 14 | 2019 |
Statistical association mapping of population-structured genetic data A Najafi *, S Janghorbani *, SA Motahari, E Fatemizadeh IEEE/ACM transactions on computational biology and bioinformatics, 2017 | 14 | 2017 |
Topic Spotting using Hierarchical Networks with Self Attention P Chitkara, A Modi, P Avvaru, S Janghorbani, M Kapadia NAACL 2019, 2019 | 4 | 2019 |
High-Fidelity Pose Estimation for Real-Time Extended Reality (XR) Visualization for Cardiac Catheterization M Annabestani, S Sriram, A Caprio, S Janghorbani, SC Wong, A Sigaras, ... Nature - Scientific Reports, 2024 | 2* | 2024 |
Proposing a novel method for fake news classification S Janghorbani, K Shah, S Gosh Rutgers University, 2018 | 1* | 2018 |
12075 A Pilot Study to Explore the Benefits of 3D Visualization of MRI-Segmented Uterine Fibroids During a Minimally Invasive Myomectomy TB Fenster, B Mosadegh, S Janghorbani, A Caprio, C Nchako, ... Journal of Minimally Invasive Gynecology 31 (11), S127-S128, 2024 | | 2024 |
Self-Supervised Object-Centric Representations Learning of Computer Vision and Natural Language Understanding Models S Janghorbani Rutgers The State University of New Jersey, School of Graduate Studies, 2023 | | 2023 |
Understanding Crowd Behavior using Unsupervised Deep Neural Networks S Janghorbani, S Naithani, K Shah, A Sivaramakrishnan | | |