A Transfer Learning Approach for Automated Segmentation of Prostate Whole Gland and Transition Zone in Diffusion Weighted MRI. - Saman Motamed; Isha Gujrathi; Dominik Deniffel; Anton Oentoro; Masoom A. Haider; Farzad Khalvati (CoRR, 2019)

Inception Augmentation Generative Adversarial Network. - Saman Motamed; Farzad Khalvati (CoRR, 2020)

RANDGAN: Randomized Generative Adversarial Network for Detection of COVID-19 in Chest X-ray. - Saman Motamed; Patrik Rogalla; Farzad Khalvati (CoRR, 2020)

Inception-GAN for Semi-supervised Detection of Pneumonia in Chest X-rays. - Saman Motamed; Farzad Khalvati (EMBC, 2021)

Multi-class Generative Adversarial Networks: Improving One-class Classification of Pneumonia Using Limited Labeled Data. - Saman Motamed; Farzad Khalvati (EMBC, 2021)

Multi-class Generative Adversarial Nets for Semi-supervised Image Classification. - Saman Motamed; Farzad Khalvati (CoRR, 2021)

Vanishing Twin GAN: How training a weak Generative Adversarial Network can improve semi-supervised image classification. - Saman Motamed; Farzad Khalvati (CoRR, 2021)

Generative Visual Prompt: Unifying Distributional Control of Pre-Trained Generative Models. - Chen Henry Wu; Saman Motamed; Shaunak Srivastava; Fernando De la Torre (NeurIPS, 2022)

PATMAT: Person Aware Tuning of Mask-Aware Transformer for Face inpainting. - Saman Motamed; Jianjin Xu; Chen Henry Wu; Christian Häne; Jean-Charles Bazin; Fernando De la Torre (ICCV, 2023)

PATMAT: Person Aware Tuning of Mask-Aware Transformer for Face Inpainting. - Saman Motamed; Jianjin Xu; Chen Henry Wu; Fernando De la Torre (CoRR, 2023)

Lego: Learning to Disentangle and Invert Concepts Beyond Object Appearance in Text-to-Image Diffusion Models. - Saman Motamed; Danda Pani Paudel; Luc Van Gool (CoRR, 2023)

Investigating the Effectiveness of Cross-Attention to Unlock Zero-Shot Editing of Text-to-Video Diffusion Models. - Saman Motamed; Wouter Van Gansbeke; Luc Van Gool (CVPR Workshops, 2024)

A Unified and Interpretable Emotion Representation and Expression Generation. - Reni Paskaleva; Mykyta Holubakha; Andela Ilic; Saman Motamed; Luc Van Gool; Danda Pani Paudel (CVPR, 2024)

Lego: Learning to Disentangle and Invert Personalized Concepts Beyond Object Appearance in Text-to-Image Diffusion Models. - Saman Motamed; Danda Pani Paudel; Luc Van Gool (ECCV (15), 2024)

Personalized Face Inpainting with Diffusion Models by Parallel Visual Attention. - Jianjin Xu; Saman Motamed; Praneetha Vaddamanu; Chen Henry Wu; Christian Häne; Jean-Charles Bazin; Fernando De la Torre (WACV, 2024)

D3GU: Multi-target Active Domain Adaptation via Enhancing Domain Alignment. - Lin Zhang 040; Linghan Xu; Saman Motamed; Shayok Chakraborty; Fernando De la Torre (WACV, 2024)

D3GU: Multi-Target Active Domain Adaptation via Enhancing Domain Alignment. - Lin Zhang 040; Linghan Xu; Saman Motamed; Shayok Chakraborty; Fernando De la Torre (CoRR, 2024)

InTraGen: Trajectory-controlled Video Generation for Object Interactions. - Zuhao Liu 002; Aleksandar Yanev; Ahmad Mahmood; Ivan Nikolov; Saman Motamed; Wei-Shi Zheng 001; Xi Wang 021; Luc Van Gool; Danda Pani Paudel (CoRR, 2024)

Do generative video models learn physical principles from watching videos? - Saman Motamed; Laura Culp; Kevin Swersky; Priyank Jaini; Robert Geirhos (CoRR, 2025)