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Morteza Ghahremani

4 accepted papers

2024

H-ViT: A Hierarchical Vision Transformer for Deformable Image Registration

CVPR 2024highlight

This paper introduces a novel top-down representation approach for deformable image registration which estimates the deformation field by capturing various short- and long-range flow features at different scale levels. As a Hierarchical Vision Transformer (H-ViT) we propose a dual self-attention and…

2024

Stable-Pose: Leveraging Transformers for Pose-Guided Text-to-Image Generation

NeurIPS 2024poster

Controllable text-to-image (T2I) diffusion models have shown impressive performance in generating high-quality visual content through the incorporation of various conditions. Current methods, however, exhibit limited performance when guided by skeleton human poses, especially in complex pose conditi…

2023

RegBN: Batch Normalization of Multimodal Data with Regularization

NeurIPS 2023poster

Recent years have witnessed a surge of interest in integrating high-dimensional data captured by multisource sensors, driven by the impressive success of neural networks in integrating multimodal data. However, the integration of heterogeneous multimodal data poses a significant challenge, as confou…

2020

Orderly Disorder in Point Cloud Domain

ECCV 2020poster

In the real world, out-of-distribution samples, noise and distortions exist in test data. Existing deep networks developed for point cloud data analysis are prone to overfitting and a partial change in test data leads to unpredictable behaviour of the networks. In this paper, we propose a smart yet…