1 citations · 1 across the 9 of their papers we have counts for
9 papers
Weakly Supervised Quantum Error Mitigation
Seyed Mohamad Ali Tousi, G. N. DeSouza
Supervised approaches to quantum error mitigation learn a map from noisy circuit outputs to ideal ones, and therefore require the ideal outputs. Producing those ideal outputs deman…
Quantum-Enhanced Similarity Measures for Polarimetric Materials Classification
Sara Shojaei, Seyed Mohamad Ali Tousi, Emma Bennett +6
We present a quantum--classical hybrid pipeline for polarimetric material classification that casts this as a point-matching problem. Voxel cubes, containing polarized light reflec…
Quantum Error Mitigation with Attention Graph Transformers for Burgers Equation Solvers on NISQ Hardware
Seyed Mohamad Ali Tousi, Adib Bazgir, Yuwen Zhang +1
We present a hybrid quantum-classical framework augmented with learned error mitigation for solving the viscous Burgers equation on noisy intermediate-scale quantum (NISQ) hardware…
Weakly Supervised Ephemeral Gully Detection In Remote Sensing Images Using Vision Language Models
Seyed Mohamad Ali Tousi, Ramy Farag, John A. Lory +1
Among soil erosion problems, Ephemeral Gullies are one of the most concerning phenomena occurring in agricultural fields. Their short temporal cycles increase the difficulty in aut…
EGSA-PT:Edge-Guided Spatial Attention with Progressive Training for Monocular Depth Estimation and Segmentation of Transparent Objects
Gbenga Omotara, Ramy Farag, Seyed Mohamad Ali Tousi +1
Transparent object perception remains a major challenge in computer vision research, as transparency confounds both depth estimation and semantic segmentation. Recent work has expl…
QAGT-MLP: An Attention-Based Graph Transformer for Small and Large-Scale Quantum Error Mitigation
Seyed Mohamad Ali Tousi, G. N. DeSouza
Noisy quantum devices demand error-mitigation techniques to be accurate yet simple and efficient in terms of number of shots and processing time. Many established approaches (e.g.,…
The Fourth Monocular Depth Estimation Challenge
Anton Obukhov, Matteo Poggi, Fabio Tosi +54
This paper presents the results of the fourth edition of the Monocular Depth Estimation Challenge (MDEC), which focuses on zero-shot generalization to the SYNS-Patches benchmark, a…
A Zero-Shot Learning Approach for Ephemeral Gully Detection from Remote Sensing using Vision Language Models
Seyed Mohamad Ali Tousi, Ramy Farag, Jacket Demby's +3
Ephemeral gullies are a primary cause of soil erosion and their reliable, accurate, and early detection will facilitate significant improvements in the sustainability of global agr…
COVID-19 detection from pulmonary CT scans using a novel EfficientNet with attention mechanism
Ramy Farag, Parth Upadhyay, Yixiang Gao +5
Manual analysis and diagnosis of COVID-19 through the examination of Computed Tomography (CT) images of the lungs can be time-consuming and result in errors, especially given high…