Aydin Sarraf

Orcid: 0000-0002-4817-8161

According to our database1, Aydin Sarraf authored at least 10 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
DiPS: Discriminative pseudo-label sampling with self-supervised transformers for weakly supervised object localization.
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.
Comput. Appl. Math., June, 2023

Discriminative Sampling of Proposals in Self-Supervised Transformers for Weakly Supervised Object Localization.
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.
Neurocomputing, 2022

Constrained Sampling for Class-Agnostic Weakly Supervised Object Localization.
CoRR, 2022

F-CAM: Full Resolution Class Activation Maps via Guided Parametric Upscaling.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

2021
RGAN: Rényi Generative Adversarial Network.
SN Comput. Sci., 2021

F-CAM: Full Resolution CAM via Guided Parametric Upscaling.
CoRR, 2021

Intelligent Link Adaptation for Grant-Free Access Cellular Networks: A Distributed Deep Reinforcement Learning Approach.
CoRR, 2021

2020
A tight upper bound on the generalization error of feedforward neural networks.
Neural Networks, 2020


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