| Data augmentation using Generative Adversarial Networks (GANs) for GAN-based detection of Pneumonia and COVID-19 in chest X-ray images S Motamed, P Rogalla, F Khalvati Informatics in Medicine Unlocked, 2021 | 121 | 2021 |
| RANDGAN: randomized generative adversarial network for detection of COVID-19 in chest X-ray S Motamed, P Rogalla, F Khalvati Nature Scientific Reports, 2021 | 63 | 2021 |
| Generative visual prompt: Unifying distributional control of pre-trained generative models CH Wu, S Motamed, S Srivastava, F De la Torre NeurIPS 2022, 2022 | 23 | 2022 |
| A Transfer Learning Approach for Automated Segmentation of Prostate Whole Gland and Transition Zone in Diffusion Weighted MRI S Motamed, I Gujrathi, D Deniffel, A Oentoro, MA Haider, F Khalvati Preprint, 2019 | 15 | 2019 |
| Multi-class Generative Adversarial Networks: Improving One-class Classification of Pneumonia Using Limited Labeled Data S Motamed, F Khalvati IEEE EMBC, 2021 | 11* | 2021 |
| Personalized Face Inpainting with Diffusion Models by Parallel Visual Attention J Xu, S Motamed, P Vaddamanu, CH Wu, C Haene, JC Bazin, ... WACV 2024, 2024 | 4 | 2024 |
| Lego: Learning to Disentangle and Invert Concepts Beyond Object Appearance in Text-to-Image Diffusion Models S Motamed, DP Paudel, L Van Gool arXiv, 2023 | 3 | 2023 |
| PATMAT: Person Aware Tuning of Mask-Aware Transformer for Face Inpainting S Motamed, J Xu, CH Wu, C Häne, JC Bazin, F De la Torre ICCV 2023, 2023 | 1 | 2023 |
| Inception-GAN for Semi-supervised Detection of Pneumonia in Chest X-rays S Motamed, F Khalvati IEEE EMBC 2021, 2021 | 1 | 2021 |
| Vanishing Twin GAN: How training a weak Generative Adversarial Network can improve semi-supervised image classification S Motamed, F Khalvati arXiv, 2021 | 1 | 2021 |
| Investigating the Effectiveness of Cross-Attention to Unlock Zero-Shot Editing of Text-to-Video Diffusion Models S Motamed, W Van Gansbeke, L Van Gool CVPR 2024 Generative Models for Computer Vision Workshop, 2024 | | 2024 |
| A Unified and Interpretable Emotion Representation and Expression Generation R Paskaleva, M Holubakha, A Ilic, S Motamed, L Van Gool, D Paudel CVPR 2024, 2024 | | 2024 |
| D3GU: Multi-target Active Domain Adaptation via Enhancing Domain Alignment L Zhang, L Xu, S Motamed, S Chakraborty, F De la Torre WACV 2024, 2024 | | 2024 |
| A Semi-supervised Pipeline for Detection of Anomalies in Medical Images S Motamed University of Toronto - MSc Thesis, 2021 | | 2021 |
Fernando De la TorreResearch Associate Professor, Carnegie Mellon UniversityVerified email at cs.cmu.edu
