Saman Motamed

According to our database, Saman Motamed authored at least 16 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

D3GU: Multi-Target Active Domain Adaptation via Enhancing Domain Alignment.

Lin Zhang, Linghan Xu, Saman Motamed, Shayok Chakraborty, Fernando De la Torre

CoRR, 2024

D³GU: Multi-target Active Domain Adaptation via Enhancing Domain Alignment.

Lin Zhang, Linghan Xu, Saman Motamed, Shayok Chakraborty, Fernando De la Torre

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

A Unified and Interpretable Emotion Representation and Expression Generation.

Reni Paskaleva, Mykyta Holubakha, Andela Ilic, Saman Motamed, Luc Van Gool, Danda Pani Paudel

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

PATMAT: Person Aware Tuning of Mask-Aware Transformer for Face Inpainting.

Saman Motamed, Jianjin Xu, Chen Henry Wu, Fernando De la Torre

CoRR, 2023

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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Generative Visual Prompt: Unifying Distributional Control of Pre-Trained Generative Models.

Chen Henry Wu, Saman Motamed, Shaunak Srivastava, Fernando De la Torre

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Vanishing Twin GAN: How training a weak Generative Adversarial Network can improve semi-supervised image classification.

Saman Motamed, Farzad Khalvati

CoRR, 2021

Multi-class Generative Adversarial Nets for Semi-supervised Image Classification.

Saman Motamed, Farzad Khalvati

CoRR, 2021

Multi-class Generative Adversarial Networks: Improving One-class Classification of Pneumonia Using Limited Labeled Data.

Saman Motamed, Farzad Khalvati

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Inception-GAN for Semi-supervised Detection of Pneumonia in Chest X-rays.

Saman Motamed, Farzad Khalvati

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

RANDGAN: Randomized Generative Adversarial Network for Detection of COVID-19 in Chest X-ray.

Saman Motamed, Patrik Rogalla, Farzad Khalvati

CoRR, 2020

Inception Augmentation Generative Adversarial Network.

Saman Motamed, Farzad Khalvati

CoRR, 2020

2019

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