2 citations · 2 across the 2 of their papers we have counts for
7 papers
Discovering Dynamic Effective Connectome of Brain with Bayesian Dynamic DAG Learning
Abdolmahdi Bagheri, Mohammad Pasande, Kevin Bello +2
Understanding the complex mechanisms of the brain can be unraveled by extracting the Dynamic Effective Connectome (DEC). Recently, score-based Directed Acyclic Graph (DAG) discover…
Attention-based Assisted Excitation for Salient Object Detection
Saeed Masoudnia, Melika Kheirieh, Abdol-Hossein Vahabie +1
Visual attention brings significant progress for Convolution Neural Networks (CNNs) in various applications. In this paper, object-based attention in human visual cortex inspires u…
Assisted Excitation of Activations: A Learning Technique to Improve Object Detectors
Mohammad Mahdi Derakhshani, Saeed Masoudnia, Amir Hossein Shaker +4
We present a simple and effective learning technique that significantly improves mAP of YOLO object detectors without compromising their speed. During network training, we carefull…
Evaluation of Dataflow through layers of Deep Neural Networks in Classification and Regression Problems
Ahmad Kalhor, Mohsen Saffar, Melika Kheirieh +2
This paper introduces two straightforward, effective indices to evaluate the input data and the data flowing through layers of a feedforward deep neural network. For classification…
Multi-Representational Learning for Offline Signature Verification using Multi-Loss Snapshot Ensemble of CNNs
Saeed Masoudnia, Omid Mersa, Babak N. Araabi +3
Offline Signature Verification (OSV) is a challenging pattern recognition task, especially in presence of skilled forgeries that are not available during training. This study aims…
Active Transfer Learning for Persian Offline Signature Verification
Taraneh Younesian, Saeed Masoudnia, Reshad Hosseini +1
Offline Signature Verification (OSV) remains a challenging pattern recognition task, especially in the presence of skilled forgeries that are not available during the training. Thi…