Saman Motamed

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Visual Attention

Diffusion Models

Multi Class Svm

Top Venues

Publications

Reni Paskaleva, Mykyta Holubakha, Andela Ilic, Saman Motamed, Luc Van Gool, Danda Pani Paudel
A Unified and Interpretable Emotion Representation and Expression Generation. CoRR (2024)
Saman Motamed, Wouter Van Gansbeke, Luc Van Gool
Investigating the Effectiveness of Cross-Attention to Unlock Zero-Shot Editing of Text-to-Video Diffusion Models. CoRR (2024)
Lin Zhang, Linghan Xu, Saman Motamed, Shayok Chakraborty, Fernando De la Torre
D3GU: Multi-Target Active Domain Adaptation via Enhancing Domain Alignment. CoRR (2024)
Jianjin Xu, Saman Motamed, Praneetha Vaddamanu, Chen Henry Wu, Christian Häne, Jean-Charles Bazin, Fernando De la Torre
Personalized Face Inpainting with Diffusion Models by Parallel Visual Attention. WACV (2024)
Lin Zhang, Linghan Xu, Saman Motamed, Shayok Chakraborty, Fernando De la Torre
GU: Multi-target Active Domain Adaptation via Enhancing Domain Alignment. WACV (2024)
Saman Motamed, Jianjin Xu, Chen Henry Wu, Fernando De la Torre
PATMAT: Person Aware Tuning of Mask-Aware Transformer for Face Inpainting. CoRR (2023)
Saman Motamed, Danda Pani Paudel, Luc Van Gool
Lego: Learning to Disentangle and Invert Concepts Beyond Object Appearance in Text-to-Image Diffusion Models. CoRR (2023)
Jianjin Xu, Saman Motamed, Praneetha Vaddamanu, Chen Henry Wu, Christian Häne, Jean-Charles Bazin, Fernando De la Torre
Personalized Face Inpainting with Diffusion Models by Parallel Visual Attention. CoRR (2023)
Saman Motamed, Jianjin Xu, Chen Henry Wu, Christian Häne, Jean-Charles Bazin, Fernando De la Torre
PATMAT: Person Aware Tuning of Mask-Aware Transformer for Face inpainting. ICCV (2023)
Chen Henry Wu, Saman Motamed, Shaunak Srivastava, Fernando De la Torre
Generative Visual Prompt: Unifying Distributional Control of Pre-Trained Generative Models. NeurIPS (2022)
Chen Henry Wu, Saman Motamed, Shaunak Srivastava, Fernando De la Torre
Generative Visual Prompt: Unifying Distributional Control of Pre-Trained Generative Models. CoRR (2022)
Saman Motamed, Farzad Khalvati
Inception-GAN for Semi-supervised Detection of Pneumonia in Chest X-rays. EMBC (2021)
Saman Motamed, Farzad Khalvati
Multi-class Generative Adversarial Nets for Semi-supervised Image Classification. CoRR (2021)
Saman Motamed, Farzad Khalvati
Vanishing Twin GAN: How training a weak Generative Adversarial Network can improve semi-supervised image classification. CoRR (2021)
Saman Motamed, Farzad Khalvati
Multi-class Generative Adversarial Networks: Improving One-class Classification of Pneumonia Using Limited Labeled Data. EMBC (2021)
Saman Motamed, Patrik Rogalla, Farzad Khalvati
RANDGAN: Randomized Generative Adversarial Network for Detection of COVID-19 in Chest X-ray. CoRR (2020)
Saman Motamed, Farzad Khalvati
Inception Augmentation Generative Adversarial Network. CoRR (2020)
Saman Motamed, Isha Gujrathi, Dominik Deniffel, Anton Oentoro, Masoom A. Haider, Farzad Khalvati
A Transfer Learning Approach for Automated Segmentation of Prostate Whole Gland and Transition Zone in Diffusion Weighted MRI. CoRR (2019)