Aydin Sarraf

According to our database, Aydin Sarraf authored at least 11 papers between 2020 and 2024.

Collaborative distances:

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

2024

Leveraging Transformers for Weakly Supervised Object Localization in Unconstrained Videos.

Shakeeb Murtaza, Marco Pedersoli, Aydin Sarraf, Eric Granger

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2024

2023

DiPS: Discriminative pseudo-label sampling with self-supervised transformers for weakly supervised object localization.

Shakeeb Murtaza, Soufiane Belharbi, Marco Pedersoli, Aydin Sarraf, Eric Granger

Image Vis. Comput., December, 2023

A decoupled physics-informed neural network for recovering a space-dependent force function in the wave equation from integral overdetermination data.

Aydin Sarraf, Fatemeh Baharifard, Kamal Rashedi

Comput. Appl. Math., June, 2023

Discriminative Sampling of Proposals in Self-Supervised Transformers for Weakly Supervised Object Localization.

Shakeeb Murtaza, Soufiane Belharbi, Marco Pedersoli, Aydin Sarraf, Eric Granger

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2023

2022

An upper bound on the variance of scalar multilayer perceptrons for log-concave distributions.

Aydin Sarraf, Saeed Khalili

Neurocomputing, 2022

Constrained Sampling for Class-Agnostic Weakly Supervised Object Localization.

Shakeeb Murtaza, Soufiane Belharbi, Marco Pedersoli, Aydin Sarraf, Eric Granger

CoRR, 2022

F-CAM: Full Resolution Class Activation Maps via Guided Parametric Upscaling.

Soufiane Belharbi, Aydin Sarraf, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

2021

RGAN: Rényi Generative Adversarial Network.

Aydin Sarraf, Yimin Nie

SN Comput. Sci., 2021

F-CAM: Full Resolution CAM via Guided Parametric Upscaling.

Soufiane Belharbi, Aydin Sarraf, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey, Eric Granger

CoRR, 2021

Intelligent Link Adaptation for Grant-Free Access Cellular Networks: A Distributed Deep Reinforcement Learning Approach.

Joao V. C. Evangelista, Zeeshan Sattar, Georges Kaddoum, Bassant Selim, Aydin Sarraf

CoRR, 2021

2020

A tight upper bound on the generalization error of feedforward neural networks.

Aydin Sarraf

Neural Networks, 2020