6 citations · 9 across the 2 of their papers we have counts for
4 papers
Be Your Own Best Competitor! Multi-Branched Adversarial Knowledge Transfer
Mahdi Ghorbani, Fahimeh Fooladgar, Shohreh Kasaei
Deep neural network architectures have attained remarkable improvements in scene understanding tasks. Utilizing an efficient model is one of the most important constraints for limi…
Lightweight Residual Densely Connected Convolutional Neural Network
Fahimeh Fooladgar, Shohreh Kasaei
Extremely efficient convolutional neural network architectures are one of the most important requirements for limited-resource devices (such as embedded and mobile devices). The co…
Pointwise Attention-Based Atrous Convolutional Neural Networks
Mobina Mahdavi, Fahimeh Fooladgar, Shohreh Kasaei
With the rapid progress of deep convolutional neural networks, in almost all robotic applications, the availability of 3D point clouds improves the accuracy of 3D semantic segmenta…
Multi-Modal Attention-based Fusion Model for Semantic Segmentation of RGB-Depth Images
Fahimeh Fooladgar, Shohreh Kasaei
The 3D scene understanding is mainly considered as a crucial requirement in computer vision and robotics applications. One of the high-level tasks in 3D scene understanding is sema…